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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">BG</journal-id>
<journal-title-group>
<journal-title>Biogeosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1726-4189</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-13-6211-2016</article-id><title-group><article-title>Sources and transformations of anthropogenic nitrogen along <?xmltex \hack{\newline}?>an urban
river–estuarine continuum</article-title>
      </title-group><?xmltex \runningtitle{Sources and transformations of anthropogenic nitrogen}?><?xmltex \runningauthor{M. J. Pennino et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff6">
          <name><surname>Pennino</surname><given-names>Michael J.</given-names></name>
          <email>michael.pennino@gmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kaushal</surname><given-names>Sujay S.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Murthy</surname><given-names>Sudhir N.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Blomquist</surname><given-names>Joel D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Cornwell</surname><given-names>Jeff C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Harris</surname><given-names>Lora A.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Geology and Earth Systems Science Interdisciplinary
Center, University of Maryland, <?xmltex \hack{\newline}?>College Park, MD, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>DC Water, Office of the General Manager, Washington, D.C., USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>US Geological Survey, Maryland, Delaware, and District of Columbia Water Science Center, Baltimore, MD, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Center for Environmental Science, University of Maryland Horn Point
Laboratory, Cambridge, MD, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Center for Environmental Science, University of Maryland Chesapeake
Biological Laboratory, Solomons, MD, USA</institution>
        </aff>
        <aff id="aff6"><label>a</label><institution>now at: US EPA, Office of Research and Development, National Health
and Environmental Effects Research Laboratory, Corvallis, OR, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Michael J. Pennino (michael.pennino@gmail.com)</corresp></author-notes><pub-date><day>18</day><month>November</month><year>2016</year></pub-date>
      
      <volume>13</volume>
      <issue>22</issue>
      <fpage>6211</fpage><lpage>6228</lpage>
      <history>
        <date date-type="received"><day>19</day><month>June</month><year>2016</year></date>
           <date date-type="rev-request"><day>11</day><month>July</month><year>2016</year></date>
           <date date-type="rev-recd"><day>20</day><month>October</month><year>2016</year></date>
           <date date-type="accepted"><day>25</day><month>October</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016.html">This article is available from https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016.html</self-uri>
<self-uri xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016.pdf</self-uri>


      <abstract>
    <p>Urbanization has altered the fate and transport of anthropogenic nitrogen
(N) in rivers and estuaries globally. This study evaluates the capacity of
an urbanizing river–estuarine continuum to transform N inputs from the
world's largest advanced (e.g., phosphorus and biological N removal)
wastewater treatment facility. Effluent samples and surface water were
collected monthly along the Potomac River estuary from Washington D.C. to
the Chesapeake Bay over a distance of 150 km. In conjunction with box model mass balances,
nitrate stable isotopes and mixing models were used to trace the fate of
urban wastewater nitrate. Nitrate concentrations and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values were higher down-estuary from the Blue
Plains wastewater outfall in Washington D.C. (2.25 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.62 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and
25.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.9 ‰, respectively) compared to
upper-estuary concentrations (1.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and 9.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4 ‰, respectively). Nitrate concentration then
decreased rapidly within 30 km down-estuary (to
0.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>),
corresponding to an increase in organic nitrogen and dissolved organic
carbon, suggesting biotic uptake and organic transformation. TN loads
declined down-estuary (from an annual average of 48 000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5000 kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
at the sewage treatment plant outfall to 23 000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 000 kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at the
estuary mouth), with the greatest percentage decrease during summer and
fall. Annually, there was a 70 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31 % loss in wastewater
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> along the estuary, and 28 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 % of urban wastewater TN
inputs were exported to the Chesapeake Bay, with the greatest contribution
of wastewater TN loads during the spring. Our results suggest that
biological transformations along the urban river–estuary continuum can
significantly transform wastewater N inputs from major cities globally, and
more work is necessary to evaluate the potential of organic nitrogen and
carbon to contribute to eutrophication and hypoxia.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Urbanization and agriculture have greatly increased the exports of nitrogen
from coastal rivers and estuaries globally, contributing to eutrophication,
hypoxia, harmful algal blooms, and fish kills (e.g., Aitkenhead-Peterson
et al., 2009; Kaushal et al., 2014b; Nixon et al., 1996; Petrone, 2010;
Vitousek et al., 1997). Despite billions of dollars spent on regulatory and
technological improvements for wastewater treatment plants (WWTPs) and
agricultural and urban stormwater runoff (e.g.,
US-EPA, 1972, 2009, 2011), many coastal waters are still impaired. Also,
there are major questions regarding how far urban sources of N (wastewater
and stormwater runoff) are transmitted along tidal river–estuarine networks
to N-sensitive coastal receiving waters. This study evaluates the capacity
of a major river–estuarine system to transform and attenuate N inputs from
the world's largest advanced (e.g., phosphorus and biological nitrogen
removal) wastewater treatment plant (Blue Plains) before being transported
down-estuary to the Chesapeake Bay. We used a combination of stable isotope
and box model mass balance approaches to track the fate and transport of
anthropogenic nitrogen across space and time.</p>
      <p>In addition to urban and agricultural inputs, altered river–estuarine
hydrology can contribute to higher exports of N. Jordan et al. (2003) found that annual water discharge increased as the proportion of
developed land in a coastal watershed increased. Higher flows, typically
during winter and spring months, have also been associated with higher N
loads in coastal river estuaries (Boynton et al.,
2008). Furthermore, regional climate variability amplifies pulses of
nutrients and other contaminants in rivers (Easterling et al., 2000;
IPCC, 2007; Kaushal et al., 2010b; Saunders and Lea, 2008) and alters the
biotic transformation of N due to changes in hydrologic residence times
(Hopkinson and Vallino, 1995; Kaushal et al., 2014b; Wiegert and
Penaslado, 1995). For example, high-flow periods related to storms can
induce stratification and impact salinity regimes (Boesch et
al., 2001), which affects nutrient biogeochemistry like ammonium and
phosphate concentrations (Jordan et al., 2008). An improved
understanding of the longitudinal assimilatory capacity for nitrogen by
large river–estuarine systems across different flow regimes is needed for
guiding effective coastal river and estuarine management strategies.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Map showing the Potomac River sampling stations (black diamond)
and the location of the Blue Plains Wastewater Treatment plant (WWTP, black
X) just south of Washington D.C., within the Chesapeake Bay watershed. The
larger figure shows the location of monthly extensive synoptic surveys sites
and the smaller panel on upper left shows the locations of the shorter
intensive synoptic surveys. The larger panel also shows the location for
the historical Maryland DNR surface water sampling sites.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f01.png"/>

      </fig>

      <p>One critical and innovative approach to effectively manage coastal nutrient
pollution is to (1) track the relative contributions of N export from
different sources within the watershed and (2) understand the potential for
longitudinal transformation within coastal rivers and estuaries. Recent
studies using stable isotopes (Kaushal et al., 2011; Kendall et al.,
2007; Oczkowski et al., 2008; Wankel et al., 2006) have shown that these
methods can be helpful in elucidating sources and transformations of
nitrogen. However, these studies are typically conducted at relatively
smaller spatial scales and without coupling to mass balance approaches over
both time and space.</p>
      <p>Here, we combine isotope and mass balance approaches to track sources and
transformations of urban wastewater inputs to the Chesapeake Bay over space and
time across an urban river–estuary continuum spanning over 150 km. The
space–time continuum approach has previously been used in studying fate and
transport of carbon and nitrogen in urban watersheds (Kaushal and Belt,
2012; Kaushal et al., 2014c), and here we explore extending it to river and
estuarine ecosystems. Our overarching questions were as follows. (1) How does the
importance of point vs. non-point sources of N shift along a tidal and
stratified urban river–estuary continuum across space and time? (2) What is
the capacity of an urban river–estuary continuum to transform or assimilate
anthropogenic N inputs? (3) How are transport and transformations of N
affected by differences in season or hydrology? An improved understanding of
how sources and transformations of N change along the urban river–estuarine
continuum over space and time can inform management decisions regarding N
source reductions along urbanizing coastal watersheds (e.g., Boesch et
al., 2001; Kaushal and Belt, 2012; Paerl et al., 2006).</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
<sec id="Ch1.S2.SS1">
  <title>Site description</title>
      <p>This study is focused on the tidal Potomac River estuary, which includes the
section of the river from Washington D.C. to its confluence with the
Chesapeake Bay (Fig. 1). The Potomac River estuary begins as tidal
freshwater, becoming oligohaline <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30–50 km below Washington
D.C. and mesohaline at its mouth approximately 160 km below Washington D.C.
(Jaworski et al., 1992). The Potomac River estuary can be
seasonally stratified (Hamdan and Jonas, 2006), especially in the
southern portion of the system where intruding, saline bottom water from the
main stem of the Chesapeake Bay leads to density-driven estuarine
circulation patterns (Elliott, 1976, 1978; Pritchard, 1956). Mixing is
most evident at the estuarine turbidity maximum (Hamdan and Jonas,
2006), <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60–80 km down-estuary of Washington D.C., and the
water column is generally well mixed above the estuarine turbidity maximum
zone in the tidal fresh and oligohaline regions of the estuary (Crump and
Baross, 1996; Sanford et al., 2001).</p>
      <p>The watershed draining to the Potomac River estuary is classified as 58 %
forested, 23 % agricultural, and 17 % urban, based on Maryland
Department of Planning data for 2002 (Karrh et al., 2007a). Based on the
Chesapeake Bay Program (CBP) model it was estimated that, during 2005, total
inputs of nitrogen were 33 % from agriculture, 20 % from urban (e.g.,
stormwater runoff and leaky sewers), 19 % from point sources (wastewater
treatment plants and industrial releases), 11 % from forest, 10 % from
septic, 6 % from mixed open land, and 1 % from atmospheric deposition to
water (Karrh et al., 2007b). The CBP model is developed using long-term
monitoring data and the non-point loads are estimated from a variety of
sources including land cover and agriculture records (Karrh et al.,
2007b).</p>
      <p>The Potomac River estuary also receives N inputs from the Blue Plains
wastewater treatment plant, located in Washington, D.C. In 2009 Blue Plains
discharged 2.3 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and 3.7 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of TN, on average, and
exported loads of approximately 2300 kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and 3900 kg
of TN. Overall, Blue Plains treats and discharges approximately 1.06 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">9</mml:mn></mml:msup></mml:math></inline-formula> L day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, almost 5 % of Potomac River's annual discharge.
In the past several decades, Blue Plains has undergone several technological
improvements with phosphorus removal in the 1980s and enhanced N removal
beginning in the year 2000. Since the implementation of advanced wastewater
treatment technologies at Blue Plains, there has been a significant decrease
(<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.01) in the concentration of nitrate in effluent discharge,
from an average of 7.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> before the year 2000 (years 1998 and
1999) to an average of 4.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> directly after 2000 (years 2001
through 2008).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Analysis of long-term spatial and temporal water chemistry data</title>
      <p>Surface and bottom water N and carbon data collected by the Maryland
Department of Natural Resources (DNR) and accessed through the Chesapeake
Bay Program's Data Hub website (Chesapeake Bay Program, 2013) was
used to look at historical (1984 to 2012) monthly nutrient concentrations
from stations located longitudinally along the Potomac River estuary (Fig. 1). In particular, these data were used for analyzing the spatial and
temporal trends for dissolved and particulate forms of N and dissolved
organic carbon (DOC) in the Potomac River estuary prior to and during this
study.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Water chemistry sampling</title>
      <p>Water chemistry samples along the Potomac River estuary were collected
monthly for 1 year from April 2010 to May 2011; from 12 to 160 km below
the Blue Plains wastewater treatment plant (See Fig. 1). Water was collected
from the surface (top 0.5 m) and bottom water depths. Surface water
samplings from 6 above to 12 km below the Blue Plains wastewater
treatment plant effluent outfall were collected seasonally during this time
(Fig. 1). Water temperature and salinity were also measured during each water
chemistry sampling.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <?xmltex \opttitle{Nitrate $\delta^{{15}}$N and $\delta^{{18}}$O isotope analyses}?><title>Nitrate <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O isotope analyses</title>
      <p>Surface samples for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes of dissolved nitrate were filtered (0.45 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m), frozen, and shipped to the UC Davis Stable Isotope Facility (SIF)
for analysis. The isotope composition of nitrate was measured following the
denitrifier method (Casciotti et al., 2002; Sigman et al., 2001). In
brief, denitrifying bacteria are used to convert nitrate in samples to
N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O gas, which is collected and sent through a mass spectrometer for
determination of the stable isotopic ratios for N and O of nitrate
(<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>15</mml:mn></mml:msup></mml:math></inline-formula>N <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>N and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>18</mml:mn></mml:msup></mml:math></inline-formula>O <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>16</mml:mn></mml:msup></mml:math></inline-formula>O). Values for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> are reported
as per mill (‰) relative to atmospheric N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N) or Vienna Standard Mean Ocean Water (VSMOW; <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O),
according to <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N or <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (‰)
<inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> [(<inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>)sample/(<inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>)standard – 1] <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1000, where <inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> denotes the ratio
of the heavy to light isotope (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>15</mml:mn></mml:msup></mml:math></inline-formula>N <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>N or <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>18</mml:mn></mml:msup></mml:math></inline-formula>O <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>16</mml:mn></mml:msup></mml:math></inline-formula>O). For
data correction and calibration, UC Davis SIF uses calibration nitrate
standards (USGS 32, USGS 34, and USGS 35) supplied by NIST (National
Institute of Standards and Technology, Gaithersburg, MD). The long-term
standard deviation for nitrate isotope samples at UC Davis SIF is 0.4 ‰ for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
0.5 ‰ for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>. Previous studies
(Kaushal et al., 2011; Kendall et al., 2007) indicate that the relative
amounts of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> can be used to determine specific sources of
nitrate (i.e., fertilizer, nitrification, atmospheric, or sewage derived
nitrate).</p>
      <p>It should be noted that while the denitrifier method converts sample
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> to N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O gas, in marine systems,
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> has been shown to complicate interpretations of the N and O
isotopes of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> if it remains unaccounted for (e.g., Fawcett et
al., 2015; Marconi et al., 2015; Rafter et al., 2013; Smart et al., 2015).
This is partially because during the reduction of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> to N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O by the denitrifiers, the O isotope effects are
different (and thus need to be corrected for). In addition, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> can be extremely different from that of
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, potentially further complicating interpretation of the data.
We found that in the Potomac Estuary stations TF2.1 through LE2.3 (stations
from the top of the estuary to the bottom of the estuary) the mean nitrite
concentration from 2010 to 2012 is 0.013 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, with a minimum of 0.0055 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
and maximum of 0.0183 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The mean nitrite is about 2.4 % of the mean
nitrate<inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>nitrite concentration. Based on the literature (Fawcett et al.,
2015), this level of nitrite is still high enough to have some impacts on
the nitrate isotope values, with differences up to 5 ‰
for both N and O isotopes of nitrate when using the denitrified method with
and without nitrite mixed with nitrate in the samples (Casciotti and
McIlvin, 2007).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Nitrate isotope mixing model</title>
      <p>To distinguish between the different potential nitrate sources we used a
Bayesian isotope mixing model (Parnell et al., 2010,
2013; Xue et al., 2012; Yang and Toor, 2016). For the Bayesian isotope
mixing model, the Stable Isotope Analysis in R (SIAR) package was used to
determine the fraction of nitrate in each sample from four different
sources: wastewater, atmospheric deposition, nitrification, and nitrate
fertilizer (Parnell et al., 2010, 2013; Xue et al., 2012;
Yang and Toor, 2016). The SIAR mixing model is able to incorporate
uncertainty in nitrate source estimates based on the uncertainty in the
nitrate source endmembers (Parnell et al., 2010, 2013;
Xue et al., 2012; Yang and Toor, 2016).</p>
      <p>Nitrate source endmember values for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> were obtained from the literature, except
wastewater nitrate, which was obtained from this study. The endmember
values for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> were <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.7 and 10.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5,
respectively, for nitrate from nitrification (Mayer et al.,
2001); 0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 and 22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3, respectively, for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
fertilizer (Mayer et al., 2002); and 3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 and
69 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5, respectively, for atmospheric nitrate (Burns and Kendall,
2002; Divers et al., 2014). The wastewater <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> endmember values (31.5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7.8 and
11 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.5, respectively) were based on averaging the effluent nitrate
isotope values measured monthly from Blue Plains during the study period.
The nitrification source represents NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from nitrification in the
water as well as nitrification of ammonia fertilizer in the watershed. The
fertilizer source represents synthetically produced NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
fertilizer, not the more common ammonia fertilizer. Animal manure was not
used as one of the endmembers because this source is more significant in
the upper Potomac River, above Washington, D.C. compared to the lower
Potomac River watershed. For example, there are 171 concentrated animal
feeding operation (CAFOs) in upper Potomac compared to 25 CAFOs in the lower
Potomac below Washington, D.C. (US EPA, 2016).</p>
      <p>Due to the variability in nitrate source endmembers, the mixing model was
used primarily for illustrative purposes and should be viewed with caution.
 For example, there can be high variability in the nitrification source
endmembers because nitrate from nitrification can come from ammonia
fertilizer, manure fertilizer, particulate organic matter within the water
column, etc. The nitrate from nitrification will therefor carry a range of
nitrate isotope values reflecting its original source (Kendall
et al., 2007). Also, because denitrification is known to cause the increase
in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
values through isotopic fractionation in approximately a <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship
(Divers et al., 2014; Kendall et al., 2007), this isotopic enrichment can
complicate the identification of wastewater nitrate. For example, water
samples with increased wastewater nitrate, based on the mixing model, may
also indicate denitrification has played a role in the isotopic levels of
the sample nitrate. As a result, there is a potential to overestimate the
contribution of nitrate from wastewater if denitrification is occurring in
the estuary.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>Salinity vs. nitrate concentrations and isotope mixing
plots</title>
      <p>An additional method using plots of salinity vs. NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration
or NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes was used to assess whether there is conservative
mixing (dilution), or mixing with additional NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> sources
down-estuary, or losses of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> through biotic uptake or
denitrification (Middelburg and Nieuwenhuize, 2001; Wankel et al., 2006).
Mixing line equations for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations were based on
equations 1–3 from Middelburg and Nieuwenhuize (2001) and isotopes
mixing lines were based on equation 4 from Middelburg and
Nieuwenhuize (2001). The mixing line equations and endmember values used for
salinity and nitrate isotopes are provided in the Supplement (Table S2). Based on those equations, the salinity vs. NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration
mixing lines are linear, while the mixing lines for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes
are nonlinear (Middelburg and Nieuwenhuize, 2001). Wankel et al. (2006) suggest that when nutrient concentrations fall above the mixing
line, this indicates an additional source to raise the concentrations, while
concentrations that fall below the mixing line indicate that there is a
nutrient sink (e.g., denitrification, assimilation). For nitrate
isotopes, when the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values fall above this mixing line, this could
indicate an additional source or the fractionation of nitrate from
assimilation or denitrification that would increase the heavy isotope
levels, while isotope values below the mixing line could indicate an
additional source of nitrate with lighter isotope values, such as from
nitrification or fertilizer sources (Wankel et al., 2006).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Plot of the Potomac Estuary depth with distance down-estuary, with
the Blue Plains wastewater treatment plant at distance zero, showing the
location of the six boxes used in the box model calculations.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS7">
  <title>Estuarine net fluxes of nitrogen</title>
      <p>A box model was used to estimate net fluxes of TN, NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and
nitrate isotope loads along the Potomac River estuary using methods modified
from Officer (1980), Boynton et al. (1995), Hagy
et al. (2000), and Testa et al. (2008), which are widely used
methods for tracking nutrient fluxes in estuaries between different salinity
zones. First, the Potomac Estuary was divided into six boxes in order to
accommodate adequate sampling stations per box, and to evaluate net fluxes
at key locations along the estuarine gradient (Fig. 2). Next, due to the
Potomac Estuary having a semi-diurnal tidal cycle, where there is movement
back and forth across boundaries of the box model, mean monthly freshwater
discharge inputs to the first box (USGS, 2014) and interpolated
salinity values (measured monthly from surface and bottom waters throughout
the system) were used to calculate advective and diffusive exchanges of
water and salt between adjacent boxes. Salt balances were then used to
compute net exchanges at the boundaries of the six model boxes, similar to
previous estuarine box model studies (e.g., Boynton et al., 1995; Hagy et
al., 2000). Average monthly TN, NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotope
concentrations (collected from the surface and bottom water at each station,
except for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes, which were collected from the surface
only) were multiplied by net estimated exchange values at the box boundaries
and summed to calculate the N load leaving or entering each box. In order to
calculate the loads for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values in per
mill (‰) were converted to concentrations (<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) by
multiplying the NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration of the sample by <inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>, the ratio
of the heavy to light isotope (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>15</mml:mn></mml:msup></mml:math></inline-formula>N <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>14</mml:mn></mml:msup></mml:math></inline-formula>N or <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>18</mml:mn></mml:msup></mml:math></inline-formula>O <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>16</mml:mn></mml:msup></mml:math></inline-formula>O).
Fluxes were estimated for each month during the sampling period and then
averaged to find seasonal estimates of N fluxes for the Potomac. The box
model results were used to compute (1) the total inputs of N, (2) the  %
inputs of loads from Blue Plains, (3) the net export of N to the Chesapeake
Bay, (4) the  % of Blue Plains inputs that are exported, (5) the net loss
in loads along the estuary, and (6) the contribution of N loads from the
Chesapeake Bay through tidal inflow.</p>
      <p>To account for uncertainty in monthly load estimates, error propagation
(using standard errors) was used for each of the hydrologic and nutrient
inputs to the model. For example, the error in discharge data came from
averaging the mean daily discharge for each month, the error in
concentrations came from averaging the surface and bottom water
concentrations, and the error in N from atmospheric deposition came from
averaging the weakly deposition data for each month. These uncertainties in
the inputs to the box model were then propagated for each of the box model
calculations, similar to Filoso and Palmer (2011).</p>
      <p>Inputs to the box model include total monthly precipitation data based on
averaging data from three stations along the Potomac Estuary (precipitation
data are from the NOAA National Centers for Environmental Information,
Climate Data Online); monthly estimates of atmospheric deposition for
NH<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and DIN (obtained from the National
Atmospheric Deposition Program/National Trends Network); NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations and isotope levels in atmospheric deposition (from
Buda and DeWalle, 2009, for the nearby central Pennsylvania region for the
year 2005, which was a similar year hydrologically); freshwater and N inputs
from the land (from Chesapeake Bay model output from 2005); surface and
bottom water nutrient and salinity concentrations (from MD DNR); and inputs
from the Blue Plains wastewater treatment plant. Also, while there are no
USGS gages located along the Potomac Estuary, there is one USGS gage (USGS
01646580) located about 16 km up-river from Blue Plains, directly above the
estuary (where the hydrodynamics of the river cease being tidally
influenced) and this gage was used to account for freshwater inputs into the
first box. The model also takes into account water temperature and
evaporation.</p>
      <p>In the box model we made two assumptions regarding the 14 other WWTPs that
are dispersed along the estuary below Blue Plains. All but one of these
WWTPs have tertiary treatment (the other has secondary treatment; <uri>www.epa.gov/npdes</uri>). These other WWTPs have a combined TN load that is
32 % of the TN load from Blue Plains. While the loads from these WWTPs are
indirectly accounted for in the box model due to their impact on the
concentrations in the estuarine water, it was not feasible to directly
incorporate the loads from each WWTP into the box model estimates and thus
there may be some added uncertainties. However, we can first assume that the
estimated decline in nitrogen loads from the Blue Plains wastewater
treatment plant to the mouth of the Potomac River estuary results in
conservative estimates. The additional load from the other WWTPs only adds
to the loads estimated further down-estuary, and consequently the measured
loss in N load from the Blue Plains wastewater load down-estuary (the
difference between the loads at the mouth and at the head of the estuary) is
a conservative estimate because it is less then would be expected,
underestimating biological assimilation and removal. Second, for modeling
purposes, we also assume here that the loads from the 14 other WWTPs have
little effect on the nitrate isotope signal. While <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotope values
were not measured directly for the 14 other down-estuary wastewater
treatment plants, based on the literature, the values for average WWTP
nitrate isotopes are typically lower (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 ‰ for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0 for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> compared to
31.5 for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
11 ‰ <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> for Blue Plains
(Kendall et al., 2007; Wang et al., 2013; Wankel et al., 2006). As a
result, we expected the other WWTPs to have a similar or an even less
pronounced wastewater isotope signal compared to Blue Plains, which has
biological nitrogen removal (i.e., denitrification is promoted within the
Blue Plains WWTP), elevating the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotope values at Blue Plains more
(Kendall et al., 2007). Consequently, the estimated nitrate
loads down-estuary incorporate inputs from Blue Plains and inputs from the
other WWTPs. They are considered conservative estimates because the
additional WWTPs only add to the TN loads and wastewater NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
isotope signal, so any decline in an isotope signal that we attribute to
Blue Plains would likely be greater if data availability permitted us to
specifically parameterize the isotope values for additional WWTP inputs.</p>
      <p>Another assumption was made for the box model related to estuarine mixing.
Although portions of the lower estuary can be seasonally stratified, we
assumed each box to be well mixed vertically as no bottom water isotope
values were available to constrain a two-layer box model. This assumption is
supported by other bottom water data that are available and by samples taken
along the width of the estuary. For example, we have conducted the box model
and other analyses with and without bottom water isotope data and found
minimal change in results (Fig. S1 in the Supplement). Our measurements of various
biogeochemical signatures at the station close to the estuarine turbidity
maximum suggests that there is intense mixing at this site, and prior
studies have documented extensive mixing in the freshwater tidal portion of
the system (Elliott, 1976, 1978; Pritchard, 1956). Also, it can be
assumed that, because wastewater effluent inputs are freshwater, much of the
effluent plume would likely not sink in the more dense estuarine waters
moving up from the bay. Additionally, our box model estimates of net fluxes
was compared to a complex, three-dimensional hydrodynamic model (described
below) that incorporates stratification, and this comparison provided
support for the low impact of assuming mixing in our approach.</p>
      <p>Only surface water samples were analyzed for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes, and
as a result our box model was not able to directly incorporate the potential
impacts of stratification on the estimated flux of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes.
However, while seasonal stratification has been found close to the mouth of
the Potomac Estuary (Hamdan and Jonas, 2006), using documented
nitrate bottom water isotope values from near the mouth of the estuary
(Horrigan et al., 1990) we calculate that incorporating
bottom water isotope values would have a minimal impact on the flux
estimates of our box model, particularly when not including spring 2011
(Fig. S1). But when including spring 2011, and using the reported values of
10 ‰ for bottom water <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
based on Horrigan et al. (1990), in boxes 5 and 6, where
stratification is most likely, our estimates for the flux of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from these boxes increases by 20 % on average,
and the net loss in load from box 1 to box 6 increases by 12 % on average.
This indicates that our estimates are conservative because, by not using
bottom water, we estimate a smaller net loss in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (Fig. S1).</p>
      <p>For the box model we also assumed the estuary to be well mixed laterally. In
terms of potential variability for samples taken at different locations
along the width of the estuary, for surface water samples,
on average, a 6 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % difference was found in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, a 7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % difference in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
a 24 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 % difference in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
and a 15 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % difference in TN (based on samplings that were done
at two or more locations along the same longitudinal transect at
approximately the same distance down-estuary, but at different locations
horizontally at that location). Consequently, the nitrate isotope values and
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and TN concentrations appear to show that the estuary is
fairly well mixed laterally.</p>
      <p>To assess the accuracy of the box model assumptions and results, estimated
net fluxes of total N were compared to simulation output from the Chesapeake
Bay Water Quality Model. This model was developed by the US EPA to aid in
efforts to set total maximum daily loads (TMDLs), the maximum amount for each
pollutant that can occur, for the Chesapeake Bay (Cerco et
al., 2010), and it combines a 3-D hydrodynamic model (CH3D) with a water
quality model (CE-QUAL-ICM). Simulation output data were available for 1996,
2002, and 2005. We selected a simulation year (2005) because it had similar
river discharge conditions to 2010, and compared modeled net fluxes of TN at
three boundary locations to estimates at the same (or nearby) box model
boundaries.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Longitudinal patterns in Potomac River estuary: <bold>(a)</bold> mean annual
dissolved inorganic nitrogen (DIN) and total organic nitrogen (TON) spanning
1997 to 2005, <bold>(b)</bold> mean seasonal DIN before year 2000 (1994 to 1999), and
post-2000 (2001 to 2012), and <bold>(c)</bold> mean (1994 to 2012) seasonal molar N : P
ratio (DIN <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> PO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, with salinity averaged from all seasons (1984
to 2008). Note: error bars are provided, but SE is relatively small
compared to concentrations. Data were obtained from the Maryland DNR and
the Chesapeake Bay Program Data Hub.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS8">
  <title>Statistical analyses</title>
      <p>Statistical analyses were performed using the statistical package R (R
Development Core Team, 2013). Linear regression was used to test for
significant changes in stream chemistry and nitrate isotope data with
distance down-estuary. Repeated-measures analysis of variance (ANOVA) was
used to test for seasonal differences in nitrate isotopes trends with
distance.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Spatial and temporal trends in N concentrations</title>
      <p>Longitudinal patterns of dissolved inorganic nitrogen (DIN) in the lower
Potomac River showed an increase in concentrations near and directly below
the Blue Plains wastewater treatment plant and then a steady decline in
concentrations down to the Chesapeake Bay (Fig. 3a). The implementation of
tertiary treatment in 2000 coincided with a significant drop in annual
average DIN concentration directly down-estuary of the Blue Plains WWTP
(from 1.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 to 1.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05; Fig. 3a) when comparing years directly prior (1997–1999) and the years directly
after 2000 (2001–2005). However, the impact of the wastewater treatment
plant improvements on reducing longitudinal patterns of DIN was only
apparent for the first 30 km down-estuary. After this, both the pre- and
post-2000 DIN concentrations overlapped (Fig. 3a). As DIN decreased
longitudinally down-estuary of the wastewater treatment plant, there was
also a small but significant increase in total organic nitrogen (TON) after
the year 2000 (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.01, Fig. 3a), not including the last sample
near the mouth of the estuary, which is likely influenced by tidal inflow.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Comparison of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> vs. dissolved organic carbon (DOC).
Data was obtained from the Maryland DNR and the Chesapeake Bay Program Data
Hub for this study period (2010–2012).</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f04.png"/>

        </fig>

      <p>There were seasonal variations in DIN concentrations along the Potomac River
estuary with the greatest concentrations in the winter and spring (Fig. 3b).
There is also a steeper decline in DIN with distance during fall, winter,
and summer compared to the spring (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05, Fig. 3b). The average
molar ratio of DIN to PO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (N : P ratio) showed an initial
increase, then a decrease as estuarine salinity started to increase (Fig. 3c). During the summer and fall, the N : P ratio fell below the Redfield ratio
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>16</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, the atomic ratio of nitrogen and phosphorus found in oceans and
phytoplankton), around 40 km down-estuary and stayed below 16, which
indicated a shift from P to N limitation. During the winter and spring, the
N : P ratio never fell below 16 and increased steadily after 50 km
down-estuary (Fig. 3c). There was also a significant negative relationship
between NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and DOC concentration during the study period (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.01, Fig. 4).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <?xmltex \opttitle{Spatial and seasonal trends in NO${}_{{3}}{}^{{-}}$ isotopes and sources}?><title>Spatial and seasonal trends in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes and sources</title>
      <p>During each season, except spring, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values
increased sharply at the Blue Plains outfall, from 9.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4 ‰ up-estuary to 25.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.9 ‰
at the outfall (p &lt; 0.05), and then rapidly decreased within 2 km
down-estuary of the Blue Plains WWTP to 15.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.2 ‰ (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05, Fig. 5a). During the summer and
fall, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values showed the largest
increase near the effluent outfall (except for one very high winter value)
and then a significant decrease (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05) with distance
down-estuary. There was also a slight increase in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values from 1
to 6 km down-estuary (Fig. 5a, b). During the winter and spring, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values
remained relatively constant throughout the estuary, even near Blue Plains
(Fig. 5a, b), while during the summer and fall the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values
steadily declined after 6–10 km down-estuary (Fig. 5a, b). At the mouth of
the estuary, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values for all seasons
were roughly equivalent (Fig. 5a). During the summer and fall, the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values showed a steady decrease after 12 km
down-estuary, while they increased during spring and winter (Fig. 5b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Trends in <bold>(a)</bold> <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <bold>(b)</bold> <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and <bold>(c)</bold> percent contribution of nitrate from
wastewater, fertilizer, atmospheric deposition, and nitrification, based on
the isotope mixing model, with distance down-estuary from wastewater treatment
plant input. Error bars are standard errors of the mean. <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1 for winter,
<inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 for spring and fall, and <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2 for summer.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f05.png"/>

        </fig>

      <p>Based on the nitrate isotope mixing model, nitrate contributions from
wastewater ranged from 80 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 % at the wastewater outfall to 57 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11 % within the first 1 km down-estuary. Wastewater nitrate
contributions then decreased to 44 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14 % at the confluence of the
Potomac River estuary with Chesapeake Bay (Fig. 5c). When we multiply the
percent wastewater nitrate by the nitrate loads estimated from the box model
for the top and bottom of the estuary (results below), we calculate that
there was a 70 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31 % loss in wastewater NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> along the
estuary annually. Nitrate from nitrification (of N from upriver manure or
ammonia fertilizer and also Blue Plains wastewater N) increased from 13 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12 % at the wastewater outfall to 29 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22 % at the
confluence of the Potomac River estuary with Chesapeake Bay (Fig. 5c).
Nitrate from fertilizer increased from 6 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 % at the wastewater
outfall to 22 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22 % at the confluence of the Potomac River estuary
with Chesapeake Bay (Fig. 5c). Nitrate from atmospheric deposition changed
little along the Potomac Estuary from 1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 at the wastewater outfall
to 5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 at the confluence with the Chesapeake Bay (Fig. 5c). At the
last two sampling stations near the mouth of the Potomac River estuary,
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from fertilizer showed an increase, while NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from
nitrification showed a corresponding decline (Fig. 5c).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p><bold>(a)</bold> Plot of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> of nitrate from effluent water samples and Potomac
River estuary samples, showing samples from different locations along the
estuary; the grey arrow indicates the <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship characteristic for
denitrification. <bold>(b)</bold> Same plot as <bold>(a)</bold> but seasonally and without the
effluent or wastewater outfall values. Not included in these plots is the
box indicating the region where atmospheric nitrate samples generally lie,
from <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 to <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>15 for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and from 60 to 100
for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <?xmltex \opttitle{$\delta^{{15}}$N-NO${}_{{3}}{}^{{-}}$ and $\delta^{{18}}$O-NO${}_{{3}}{}^{{-}}$,
NO${}_{{3}}{}^{{-}}$ concentration, and salinity relationships}?><title><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration, and salinity relationships</title>
      <p>The Blue Plains effluent and Potomac River samples within 20 km down-estuary
of the wastewater treatment plant showed a significant positive relationship
between <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05; Fig. 6a). When denitrification
and biotic uptake occurs, plotting <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> shows a <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship (Kendall et al., 2007).
The Blue Plains effluent samples showed approximately a 2.4 to 1
relationship. The samples within 20 km down-estuary showed a <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ratio (Fig. 6a). The nitrate samples within the first 6 km showed a 2.4 to 1
relationship (Fig. 6a). There were also seasonal differences in the
relationship between <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (Fig. 6b); spring, summer, and fall were
characterized by close to a <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship between <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, while winter
showed a <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship.</p>
      <p>Because salinity is a conservative tracer, plots of salinity vs.
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> can indicate effects of mixing between water at the
tidal freshwater section with water from the mesohaline section of the
Potomac River estuary. Deviations from the mixing lines can indicate
additional sources or biological transformations (Middelburg and
Nieuwenhuize, 2000; Wankel et al., 2006). Surface water NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations and nitrate isotopes fell on (for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> or slightly below mixing line
(for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> during the spring (Fig. 7a,b,c), which indicated
mostly conservative mixing (dilution or inputs from sources with low <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, like nitrification). But during the summer and
fall, the NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration and isotope values fell well below
the mixing lines. During the winter, the values fell both above and below
the mixing line (Fig. 7a, b, c), which indicated non-conservative mixing.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Comparison of salinity vs. <bold>(a)</bold> NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <bold>(b)</bold> <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and <bold>(c)</bold> <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>. Mixing
lines connect the mean NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration or isotope values at the
lowest and highest salinity values. Error bars are standard errors of the
mean. For <bold>(a)</bold>, <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 for all seasons; for <bold>(b)</bold> and <bold>(c)</bold>, <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1 for
winter, N <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 for spring and fall, and N <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2 for summer. Mixing
line equations for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations and isotopes were obtained
from Middelburg and Nieuwenhuize (2001). NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> data were
obtained from the Maryland DNR and the Chesapeake Bay Program Data Hub,
covering spring 2010 to spring 2011, the same dates as the NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
isotope data.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f07.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS4">
  <title>Spatial and seasonal trends in N loads</title>
      <p>Our comparisons of box model net exchange estimates with simulation output
provided by the Chesapeake Bay Program eutrophication model (“Bay Model”)
revealed similar TN loads between our results and the Bay Model in the
winter, spring, and fall, with the largest differences in the models evident
in the summer months at the boundary location where tidal fresh transitions
to oligohaline conditions and at the mouth of the estuary (Table S3 and
Figs. 8 and 9). Even so, these differences are smaller than a factor of 2
for winter and spring and for most of the summer and fall. Despite the
assumption of complete mixing in our box model, this is a good agreement
considering the simplification of hydrodynamics inherent to a box modeling
approach when compared to the highly constrained CH3D hydrodynamic modeling
platform (Cerco et al., 2010). The Potomac Estuary is well
mixed along two-thirds of its length, and this likely contributes to our
success in applying a single-layer box model to this system. The box model
also permitted estimates of TN loads at smaller spatial scales than the
three boundaries available from the Chesapeake Bay Program, which could
enable a better interpretation of where Blue Plains effluent was subject to
transformations in the oligohaline portion of the estuary (Fig. 8). The
caveat here is that box-modeled summer loads should be interpreted with
caution because they show the greatest differences from the CH3D model.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Seasonal comparison of N inputs, exports, and losses along the
Potomac River estuary (mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard error).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.67}[.67]?><oasis:tgroup cols="11">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Nutrient</oasis:entry>  
         <oasis:entry colname="col3">Total inputs</oasis:entry>  
         <oasis:entry colname="col4">% of</oasis:entry>  
         <oasis:entry colname="col5">Net export</oasis:entry>  
         <oasis:entry colname="col6">% of Blue</oasis:entry>  
         <oasis:entry colname="col7">Net loss in</oasis:entry>  
         <oasis:entry colname="col8">% Net loss in</oasis:entry>  
         <oasis:entry colname="col9">Net loss in load</oasis:entry>  
         <oasis:entry colname="col10">% Net loss in</oasis:entry>  
         <oasis:entry colname="col11">Net loads from</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">(kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col4">Inputs from</oasis:entry>  
         <oasis:entry colname="col5">(kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col6">Plains Inputs</oasis:entry>  
         <oasis:entry colname="col7">load along estuary,</oasis:entry>  
         <oasis:entry colname="col8">load along estuary,</oasis:entry>  
         <oasis:entry colname="col9">along estuary,</oasis:entry>  
         <oasis:entry colname="col10">load along estuary,</oasis:entry>  
         <oasis:entry colname="col11">bay to estuary</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">Blue Plains<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">Exported</oasis:entry>  
         <oasis:entry colname="col7">box 1 to 6</oasis:entry>  
         <oasis:entry colname="col8">in  box 1 to 6</oasis:entry>  
         <oasis:entry colname="col9">box 1 to 5</oasis:entry>  
         <oasis:entry colname="col10">box 1 to 5</oasis:entry>  
         <oasis:entry colname="col11">(kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7">(kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9">(kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col10"/>  
         <oasis:entry colname="col11"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Winter</oasis:entry>  
         <oasis:entry colname="col2">TN</oasis:entry>  
         <oasis:entry colname="col3">49 150 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30 323</oasis:entry>  
         <oasis:entry colname="col4">10 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>  
         <oasis:entry colname="col5">19 844 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 728</oasis:entry>  
         <oasis:entry colname="col6">3.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col7">27 369 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14 597</oasis:entry>  
         <oasis:entry colname="col8">54 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 40</oasis:entry>  
         <oasis:entry colname="col9">16 426 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9509</oasis:entry>  
         <oasis:entry colname="col10">28 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 25</oasis:entry>  
         <oasis:entry colname="col11">473 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 414</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Spring</oasis:entry>  
         <oasis:entry colname="col2">TN</oasis:entry>  
         <oasis:entry colname="col3">135 317 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14 614</oasis:entry>  
         <oasis:entry colname="col4">8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8</oasis:entry>  
         <oasis:entry colname="col5">68 431 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 48 060</oasis:entry>  
         <oasis:entry colname="col6">71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20</oasis:entry>  
         <oasis:entry colname="col7">49 672 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 52 116</oasis:entry>  
         <oasis:entry colname="col8">36 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 43</oasis:entry>  
         <oasis:entry colname="col9">29 515 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 32 908</oasis:entry>  
         <oasis:entry colname="col10">26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>127 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 480</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Summer</oasis:entry>  
         <oasis:entry colname="col2">TN</oasis:entry>  
         <oasis:entry colname="col3">13 888 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 596</oasis:entry>  
         <oasis:entry colname="col4">38 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>  
         <oasis:entry colname="col5">4853 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8326</oasis:entry>  
         <oasis:entry colname="col6">19 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11</oasis:entry>  
         <oasis:entry colname="col7">7155 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8370</oasis:entry>  
         <oasis:entry colname="col8">75 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 75</oasis:entry>  
         <oasis:entry colname="col9">5739 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1832</oasis:entry>  
         <oasis:entry colname="col10">44 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21</oasis:entry>  
         <oasis:entry colname="col11">380 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 164</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Fall</oasis:entry>  
         <oasis:entry colname="col2">TN</oasis:entry>  
         <oasis:entry colname="col3">15 334 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3700</oasis:entry>  
         <oasis:entry colname="col4">47 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1613 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12 124</oasis:entry>  
         <oasis:entry colname="col6">18 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>  
         <oasis:entry colname="col7">15 364 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12 548</oasis:entry>  
         <oasis:entry colname="col8">112 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 95</oasis:entry>  
         <oasis:entry colname="col9">4140 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6607</oasis:entry>  
         <oasis:entry colname="col10">30 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 43</oasis:entry>  
         <oasis:entry colname="col11">264 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 290</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Winter</oasis:entry>  
         <oasis:entry colname="col2">NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">37 749 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23 574</oasis:entry>  
         <oasis:entry colname="col4">5.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.6</oasis:entry>  
         <oasis:entry colname="col5">2080 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6235</oasis:entry>  
         <oasis:entry colname="col6">3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col7">31 791 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7417</oasis:entry>  
         <oasis:entry colname="col8">93 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 29</oasis:entry>  
         <oasis:entry colname="col9">26 299 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10 069</oasis:entry>  
         <oasis:entry colname="col10">74 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 33</oasis:entry>  
         <oasis:entry colname="col11">32 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 58</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Spring</oasis:entry>  
         <oasis:entry colname="col2">NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">95 395 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10 416</oasis:entry>  
         <oasis:entry colname="col4">7.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6</oasis:entry>  
         <oasis:entry colname="col5">30 039 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16 1747</oasis:entry>  
         <oasis:entry colname="col6">52 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 70</oasis:entry>  
         <oasis:entry colname="col7">40 206 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16 1977</oasis:entry>  
         <oasis:entry colname="col8">60 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 187</oasis:entry>  
         <oasis:entry colname="col9">30 998 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 26 791</oasis:entry>  
         <oasis:entry colname="col10">46 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 34</oasis:entry>  
         <oasis:entry colname="col11">8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 109</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Summer</oasis:entry>  
         <oasis:entry colname="col2">NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">7066 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 364</oasis:entry>  
         <oasis:entry colname="col4">49 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.3</oasis:entry>  
         <oasis:entry colname="col5">105 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4130</oasis:entry>  
         <oasis:entry colname="col6">17 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2</oasis:entry>  
         <oasis:entry colname="col7">5166 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4143</oasis:entry>  
         <oasis:entry colname="col8">96 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 141</oasis:entry>  
         <oasis:entry colname="col9">4223 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 763</oasis:entry>  
         <oasis:entry colname="col10">77 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19</oasis:entry>  
         <oasis:entry colname="col11">11 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Fall</oasis:entry>  
         <oasis:entry colname="col2">NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">10 526 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3006</oasis:entry>  
         <oasis:entry colname="col4">53 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 18.2</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>204 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6278</oasis:entry>  
         <oasis:entry colname="col6">13 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 35</oasis:entry>  
         <oasis:entry colname="col7">7291 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6812</oasis:entry>  
         <oasis:entry colname="col8">108 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 181</oasis:entry>  
         <oasis:entry colname="col9">5637 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6817</oasis:entry>  
         <oasis:entry colname="col10">85 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 122</oasis:entry>  
         <oasis:entry colname="col11">13 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 35</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Winter</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">130 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>  
         <oasis:entry colname="col4">4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4</oasis:entry>  
         <oasis:entry colname="col5">4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col6">2.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col7">130 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col8">97 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col9">77 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col10">68 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>  
         <oasis:entry colname="col11">86 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> NA</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Spring</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">374 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>  
         <oasis:entry colname="col4">7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>  
         <oasis:entry colname="col5">170 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 547</oasis:entry>  
         <oasis:entry colname="col6">52 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 136</oasis:entry>  
         <oasis:entry colname="col7">88 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 547</oasis:entry>  
         <oasis:entry colname="col8">48 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 136</oasis:entry>  
         <oasis:entry colname="col9">42 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 71</oasis:entry>  
         <oasis:entry colname="col10">26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31</oasis:entry>  
         <oasis:entry colname="col11"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>412 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1471</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Summer</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">30 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1</oasis:entry>  
         <oasis:entry colname="col4">53 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.6</oasis:entry>  
         <oasis:entry colname="col5">5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1</oasis:entry>  
         <oasis:entry colname="col6">17 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>  
         <oasis:entry colname="col7">27 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1</oasis:entry>  
         <oasis:entry colname="col8">83 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>  
         <oasis:entry colname="col9">18 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1</oasis:entry>  
         <oasis:entry colname="col10">83 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3</oasis:entry>  
         <oasis:entry colname="col11">NA</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Fall</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">40 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5</oasis:entry>  
         <oasis:entry colname="col4">55 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.8</oasis:entry>  
         <oasis:entry colname="col5">7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8</oasis:entry>  
         <oasis:entry colname="col6">13 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 68</oasis:entry>  
         <oasis:entry colname="col7">26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8</oasis:entry>  
         <oasis:entry colname="col8">87 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 105</oasis:entry>  
         <oasis:entry colname="col9">26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>  
         <oasis:entry colname="col10">87 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 105</oasis:entry>  
         <oasis:entry colname="col11">NA</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><?xmltex \begin{scaleboxenv}{.67}[.67]?><table-wrap-foot><p>TN: total nitrogen. NA indicates there was either no data or only one month with data
for that season and thus no SE value.
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> Blue Plains is a wastewater treatment plant.</p></table-wrap-foot><?xmltex \end{scaleboxenv}?></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><caption><p>Comparison of mean (<inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard error) seasonal discharge and
residence time within the Potomac River estuary.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Mean discharge</oasis:entry>  
         <oasis:entry colname="col3">Mean residence</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col3">time (days)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Winter</oasis:entry>  
         <oasis:entry colname="col2">187 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 60</oasis:entry>  
         <oasis:entry colname="col3">26 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 18</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Spring</oasis:entry>  
         <oasis:entry colname="col2">545 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 214</oasis:entry>  
         <oasis:entry colname="col3">57 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 36</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Summer</oasis:entry>  
         <oasis:entry colname="col2">81 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 29</oasis:entry>  
         <oasis:entry colname="col3">129 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 85</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Fall</oasis:entry>  
         <oasis:entry colname="col2">81 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 27</oasis:entry>  
         <oasis:entry colname="col3">196 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 102</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>Note: data are based on discharge and box model results for the period from April
2010 to March 2011.</p></table-wrap-foot></table-wrap>

      <p>Results of the box model indicate that an annual average of 8.4 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.8 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of TN are exported to the Bay
and the net loss in load for TN along the estuary (from Blue Plains to the
mouth of the estuary), attributed to assimilation, burial, and
denitrification, was 9.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of TN.
Using an N burial rate of 2.49 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Harris, unpublished data), a denitrification rate
of 6.17 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.3 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Cornwell et al., 2016) and a fisheries yield rate of 0.82 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Boynton et al., 1995), we see that
our box model estimate is nearly balanced by independently estimated values
for these loss terms. On a mean annual basis, denitrification accounts for
about 68 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 % of the loss in TN, burial is estimated to account for
27 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % of the loss in TN, and assimilation into fisheries accounts
for approximately 9 % of loss in TN load along the Potomac Estuary.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Comparing the TN fluxes along the Potomac River estuary estimated
from the box model used in this study and from the results from the
Chesapeake Bay nutrient model.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f08.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Correlation between the fluxes estimated from the box model used
in this study and the Chesapeake Bay nutrient model.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f09.png"/>

        </fig>

      <p>The net load (kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) of TN, NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> decreased down-estuary during each season
(Fig. 10a–c, <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.05 for winter and spring and <inline-formula><mml:math display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> &lt; 0.1 for summer
and fall). N loads were highest along the estuary during spring and winter
(Fig. 10), and there was a greater decline in TN loads on average from box 1
to box 6 during winter and spring (a loss of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 27 000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15 000 and 50 000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 52 000 kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively; Table 1) compared to
summer and fall (a loss of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8000 and 15 000 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 000 kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively). However, the summer and fall months
showed a greater percent decline in TN (75 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 75 and 112 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 95 %, respectively) compared to winter and spring
(54 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 40 and 36 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 43 %, respectively). The relatively high errors are primarily from
the larger uncertainty found in the last box, at the mouth of the estuary,
due to the larger size of this box and greater uncertainty in fluxes at the
mouth of the estuary; the uncertainties are much smaller further up-estuary
(See Fig. 10a). NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> follow
the same seasonal patterns as TN. Also, winter, along with summer and fall,
showed a greater percent decline in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
isotope loads compared to spring (Table 1).</p>
      <p>The percent contribution of TN inputs from the Blue Plains wastewater
treatment plant to the main stem of the Chesapeake Bay ranged from 8 to 47 % (Table 1). The contribution was significantly lower during the winter
and spring (10 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 and 8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 %, respectively) compared to
summer and fall (38 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 and 47 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 %, respectively, Table 1),
when TN fluxes from all sources are relatively low. The percent of Blue
Plains wastewater TN inputs that are exported to the Chesapeake Bay ranged
from &lt; 4 to 71 %, and they were highest in the spring (71 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20 %, Table 1), with an annual average of 28 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 % of blue plains
TN exported from the estuary. There were also N inputs to the Potomac
river–estuarine continuum from the Chesapeake Bay during each season, except
spring, due to higher flows (Tables 1 and 2) because flow in spring was too
high to allow the inputs from the Bay that occurred in the other seasons.
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> follow the same seasonal
patterns as TN, showing the greatest percentage of inputs from Blue Plains
exported during the spring.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>While coastal urbanization can have a major impact on water quality in
receiving waters, the results of this study suggest that rivers and
estuaries also show a large capacity to transform and bury anthropogenic N.
In particular, our results indicate that up to 96 % of inputs of N from
the Washington D.C. Blue Plains wastewater treatment plant were removed
via burial or denitrification along the Potomac river–estuarine continuum,
depending on the season (Table 1). Recent work shows that urban watersheds
and river networks can also be “transformers” of nitrogen across similar
broad spatial scales, which impacts downstream coastal water quality
(Kaushal et al., 2014a). Similar to our results, previous
studies have shown that estuaries can transform and remove wastewater inputs
of nitrogen through denitrification (e.g., Billen et al., 1985). Our
work characterized how the river–estuarine continuum transforms the sources,
amounts, and forms of nitrogen transported to the Chesapeake Bay. N sources
varied in response to transformation across seasons and hydrologic
conditions with important implications for anticipating changes in coastal
nitrogen pollution in response to future climate change. This is
particularly significant, given long-term increases in water temperatures of
major rivers and increased frequency and magnitude of droughts and floods in
this region and elsewhere (e.g., Kaushal et al., 2010a, 2014b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>Seasonal box model results showing how <bold>(a)</bold> TN, <bold>(b)</bold> NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and <bold>(c)</bold> <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> loads vary
down-estuary. Error bars are standard errors of the mean. For panels <bold>(a)</bold> and <bold>(b)</bold>, <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 for all seasons. For <bold>(c)</bold>,
<inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1 for winter, <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 for
spring and fall, and <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2 for summer. TN and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> data were
obtained from the Maryland DNR and the Chesapeake Bay Program Data Hub.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://bg.copernicus.org/articles/13/6211/2016/bg-13-6211-2016-f10.png"/>

      </fig>

<sec id="Ch1.S4.SS1">
  <title>Spatial and temporal trends in N concentrations and loads</title>
      <p>The decrease in DIN concentrations with distance down-estuary is largely
from denitrification, assimilation, and burial, as indicated by the inverse
relationship between NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations and DOC and TON
concentrations, the NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotope data, and N mass balance data.
Dilution from tidal marine waters plays a minor role in the decrease in DIN
and the incoming tidal waters may even contribute to DIN as suggested by the
decrease in DIN slope after 130 km down-estuary (Boynton et al.,
1995), depending on the season. The installation of tertiary wastewater
treatment technology at Blue Plains in the year 2000 showed a significant
drop in DIN concentrations within 20–30 km of Blue Plains. However, the DIN
concentrations below 30 km down-estuary were approximately the same based on
an annual average, before and after the year 2000. One explanation is that
the dissolved wastewater N is completely assimilated into particulate
organic matter, supported by the inverse NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> vs. TON or DOC
relationships (Figs. 3a and 4), or removed by denitrification (as suggested
by the isotope data) within the first 10 km down-estuary, and thus the
majority of DIN below 30 km is from other inputs than the Blue Plains
wastewater treatment plant. For example, there are 14 other smaller
wastewater treatment plants along the Potomac River estuary, which
contribute a total of about 1.02 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">9</mml:mn></mml:msup></mml:math></inline-formula> L day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (almost as much
as the amount Blue Plains contributes) and they could offset further
decreases in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations down-estuary. Also, our isotope
mixing model data show that nitrification (likely of upriver manure or
ammonia fertilizer inputs) and fertilizer are important sources further
down-estuary, and 42 % of the land use along the Potomac Estuary is
agriculture (Karrh et al., 2007b). A second explanation could be related
to a change in N : P ratio with distance down-estuary. Specifically, there was
a rise in estuarine salinity around 30 to 50 km down-estuary and a
coinciding increase in dissolved PO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> concentration (typical of
the estuarine salinity gradient; Jordan et al., 2008). When
the N : P ratio fell below the Redfield ratio of <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>16</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, the estuary could shift
from P limitation to N limitation (Fisher et al., 1999).
The potential shift from P to N limitation occurred 40–50 km down-estuary,
around the estuarine turbidity maximum, which is associated with higher
estuarine bacterial productivity (Crump and Baross, 1996), and may
be driving DIN removal further down-estuary.</p>
      <p>Mass balance indicates that TN and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> loads decreased
down-estuary each season (despite inputs from the 14 other wastewater
treatment plants down-estuary). The 8.4 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.8 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of TN exported to the Bay annually is close to
the 14.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> estimated by Boynton et al. (1995) for
the lower Potomac Estuary. The net loss in load for TN along the estuary
(9.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), attributed
to burial and denitrification, was also similar to the sum of the burial and
denitrification rates estimated by Boynton et al. (1995) for the lower
Potomac (13.3 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> kg yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of TN). Also, our comparison of
net losses in TN along the estuary with independent estimates of burial
(Harris, unpublished data), denitrification rate (Cornwell et
al., 2016), and assimilation (Boynton et al., 1995) closely
align with our estimate for the net loss in load for TN along the estuary.
The large loss in TN load attributed to denitrification (68 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 %)
is supported by the NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotope data indicating that there was
likely denitrification (and assimilation) of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, particularly
within 6 km down-estuary from the Blue Plains wastewater treatment plant.
Over seasonal timescales, there was a greater percent decline in TN loading
during summer and fall, likely due to warmer temperatures and increased
biological transformation (attributable to high rates of phytoplankton
uptake and detrital deposition; Eyre and Ferguson, 2005; Gillooly et
al., 2001; Harris and Brush, 2012; Nowicki, 1994), which suggested that the
urban river–estuarine continuum may be more efficient at removing TN during
the summer and fall. Compared to summer and fall, winter also had a
relatively high percent decline in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> loads possibly driven by
the higher concentrations typically found in winter months, which could
result in quicker assimilation through first-order reaction rate kinetics
(Betlach and Tiedje, 1981). Since there was no evidence for
denitrification during the winter, burial could also be a mechanism for the
relatively high decline in winter months, which is typical of higher flows
(Boynton et al., 1995; Milliman et al., 1985; Sanford et al., 2001).
However, more work is necessary to evaluate the fate of nitrate using
ecosystem process-level measurements.</p>
      <p>The higher exports of TN and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> to Chesapeake Bay during the
winter and spring are due to greater N inputs from the upper and lower
watershed and/or greater flow rates. The proportion of N exports attributed
to Blue Plains wastewater treatment plant was the highest in the spring,
likely due to shorter water residence times (Table 2), resulting in less
time for biological uptake, removal, or burial of N. The greater decline in
N loads during the spring, however, may be attributed to multiple factors,
such as greater N loads being imported from the upper estuary and higher
concentrations, compared to summer and fall (Table 1) and thus driving
greater losses (from burial and denitrification) due to first-order reaction
rate kinetics (Betlach and Tiedje, 1981) similar to winter (described
above), stratification that is characteristic of higher flows
(Boesch et al., 2001), and increased burial rates due to
greater sediment loads during higher flows (Milliman et al., 1985;
Sanford et al., 2001). As mentioned previously, more work is necessary
regarding linking ecosystem processes and microbial dynamics with the fate
of nitrate in the estuary. Nonetheless, the decline in TN and NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
loads down-estuary each season provide strong evidence for the
transformation and retention of N along estuaries.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <?xmltex \opttitle{Spatial trends in NO${}_{{3}}{}^{{-}}$ sources and role of denitrification,
assimilation, and nitrification}?><title>Spatial trends in NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> sources and role of denitrification,
assimilation, and nitrification</title>
      <p>The Potomac River estuary was a transformer of wastewater N inputs from the
Washington D.C. metropolitan area to its confluence with Chesapeake Bay. The
values for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> above the wastewater treatment
plant were relatively high, suggesting upriver sources may primarily be from
animal waste (Burns et al., 2009; Kaushal et al., 2011; Kendall et al.,
2007). This is consistent with a previous study which found that 43 % of
N inputs to the upper Potomac River are from manure (Jaworski
et al., 1992), while the lower Potomac River has more fertilizer and fewer
combined animal feeding operations (CAFOs; US EPA, 2016).
Effluent inputs from the Blue Plains wastewater treatment plant
significantly increased the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values even
further, yet this NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> signal from wastewater disappeared after
20–30 km down-estuary. The increase in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values within the first 1 to 6 km
down-estuary suggests denitrification or assimilation of nitrate, due to the
lighter <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>16</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> isotopes being preferentially denitrified or
assimilated and leaving behind the heavier nitrate isotopes (Granger et
al., 2004, 2008;  Kendall et al., 2007). But the gradual
decline in both <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values from 6 to 160 km down-estuary indicates
nitrification dominates this portion of the estuary (supported by the
nitrate isotope mixing model results) because the process of nitrification,
which converts ammonia to nitrate results in lighter nitrate isotopes being
generated through fractionation (Kendall et al., 2007; Vavilin, 2014).
However, the decline in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> loads corresponding to the decline in overall
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> loads down-estuary also suggests that the heavy nitrate
isotopes are being removed as well as the light isotopes. The disappearance
of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
down-estuary, where NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations are very low
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.01 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), may indicate that assimilation or even
denitrification is occurring on the remaining heavy <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> after the
lighter <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>16</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
is all used up (Fogel and Cifuentes, 1993; Vavilin et al., 2014; Waser et
al., 1998a, 1998b).</p>
      <p>Seasonal differences in the longitudinal trends for <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> suggest
differences in biological transformations of nitrate due to differences in
water temperature, hydrology, and/or N inputs. The <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values from effluent inputs were higher in warmer
months due likely to higher denitrification rates in the wastewater
treatment plant associated with warmer water temperatures (Dawson and
Murphy, 1972; Pfenning and McMahon, 1997), resulting in elevated <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values produced by isotopic fractionation
(Kendall et al., 2007; Mariotti et al., 1981). An increase in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> between 2 and 6 km down-estuary during summer and
fall (Fig. 5b) further shows increased denitrification or biological uptake
due to warmer water temperatures and fractionation (Eyre and Ferguson,
2005; Gillooly et al., 2001; Harris and Brush, 2012; Nowicki, 1994). The
significant drop in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> beyond 10 km
down-estuary during summer and fall may have been due to mixing with other N
sources and increased nitrification (Wankel et al., 2006), indicated
by the salinity mixing line results. During the spring, there was also a
significant decline in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> between 10 and 160 km down-estuary, but this was likely attributed to dilution and
nitrification, based on the conservative mixing results. The lack of a
significant change during the winter, may be due to shorter residence times
(Table 2) and cooler temperatures, contributing to lower biological
transformation rates. Further down-estuary, near the mouth of the estuary,
the increase in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> in winter and spring might
indicate denitrification in the estuary but in spring nitrate seems
conservative based on the salinity mixing plots. The decline in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> down-estuary in summer and fall suggests that
processes other than denitrification in the estuary are controlling the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, such as nitrification.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>Isotope and salinity mixing models and influence of temperature and
residence time</title>
      <p>Seasonally, the <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship between <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> during spring,
summer, and fall may indicate denitrification or assimilation, but the
salinity mixing plots suggest minimal denitrification in the spring. The fact
that the <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N : <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O ratio is between 1 and 2 for
summer and fall may mean assimilation plays a role, which is supported by
previous studies that found a <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relationship for assimilation in the
marine environment (Granger et al., 2004; Karsh et al., 2012, 2014). However, other previous studies suggest that a
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N : <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O ratio between 1 and 2 can also be caused by
denitrifying bacteria (Granger et al., 2008; Lehmann et al., 2003). The
divergence from <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ratio may also be attributed to hotspots of
denitrification, such as in hyporheic zones where nitrate is completely
consumed by denitrification, resulting in no fractionation (Fogel and
Cifuentes, 1993; Vavilin et al., 2014; Waser et al., 1998a, b). Additionally, the divergence from the <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ratio in samples further
down-estuary may indicate mixing between two or more NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> sources,
such as between atmospheric, marine, or nitrification (Kaushal et al.,
2011; Wankel et al., 2006). Due to water column dissolved oxygen levels
averaging over 4 mg L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (data from Chesapeake Bay Program, not shown),
assimilation likely dominates NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> removal in the water column,
while denitrification likely dominates nitrate removal from the sediment,
which is supported by previous work (Cornwell et al., 2014; Kemp et al.,
1990).</p>
      <p>Based on the nitrate isotope mixing model, the longitudinal trends in
nitrate sources along the Potomac Estuary correspond to the other results
of this study. The decline in wastewater nitrate matched the decline in
nitrate concentrations and loads, while the slight increases in
nitrification and fertilizer both correspond to a decline in N and O
isotope values down-estuary and the increase in agricultural land use in
the lower Potomac watershed. Future research would benefit from doing the
mixing model separately using different endmembers for the different seasons
in order to better constrain the differences between seasons. However, due to
lack of data on the seasonality of fertilizer and nitrification endmembers,
this was not feasible for the scope of this paper. Seasonal endmembers could
provide more confidence because we found that seasonality and temperature
mattered in the N sources and loads. Many isotopic studies do not always
take this into account and typically just use literature values; our work
showed that there are important seasonal variations, and in order to improve
the isotope mixing model to capture differences between seasons, the seasonal
changes in the endmembers may need to be captured.</p>
      <p>Denitrification is likely a sink for NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> during the summer and
fall based on the increases in <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> within 6 km down-estuary and due to warmer water
temperatures, while there is no evidence for denitrification in the winter
due to reduced biological activities typical in cooler winter temperatures
(Eyre and Ferguson, 2005; Gillooly et al., 2001; Harris and Brush, 2012;
Nowicki, 1994). Nevertheless, nitrate removal was significant in all
seasons, including winter, suggesting other mechanisms are important, as indicated by the
salinity-based mixing lines.</p>
      <p>Plots of salinity vs. NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> were used to provide evidence for
conservative mixing, uptake, production, or contributions from other
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> sources. NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations fell below the mixing
lines during the summer, fall, and winter, suggesting non-conservative
mixing behavior due to the presence of a NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> sink, such as
assimilation, denitrification, or burial (Wankel et al., 2006). However, during
the spring, NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations fell on the mixing line,
indicating that there were no important sources or sinks. This may be due to
higher flows and shorter residence times in the spring (Table 2), which can
result in fewer biological transformations of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>. In the salinity
vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
plots, when the isotope values fell below the mixing lines, this suggested
the contribution of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from sources with lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, such as
fertilizer inputs or nitrification, which produces nitrate with lower
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values
through fractionation (Kaushal et al., 2011; Kendall et al., 2007). An
increase in nitrification down-estuary is likely attributed to the
conversion of remineralized N to nitrate or from down-estuary inputs of
wastewater ammonia that is converted to nitrate (Middelburg and
Nieuwenhuize, 2001). During the spring, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
isotope values again fell mostly on the mixing line, which may indicate the
Potomac River estuary is acting more like a transporter instead of a
transformer (e.g., Kaushal and Belt, 2012), transporting
NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> without there being any significant sinks of NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
or mixing with additional sources, likely due to lower residence times
(Table 2) in the spring. However, the fact that during the spring the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values were slightly below the mixing line
indicates that there may have been an increased amount of nitrate inputs from the
watershed through runoff carrying nitrate produced by nitrification. During
the winter, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> values also fell above the
mixing line for some samples, which suggested the contribution of heavy
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn>15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N-NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> from an additional down-estuary source
(potentially from one of the 14 other wastewater treatment plants in the
lower Potomac watershed). This was likely not the case during the summer and
fall, when other sources and sinks may dominate due to greater biological
activities (Eyre and Ferguson, 2005; Gillooly et al., 2001; Harris and
Brush, 2012; Nowicki, 1994), or during the spring, when there is more
conservative behavior due to higher flows. Even though only surface water
salinity, nutrient, and isotope values were used in these mixing line plots,
when bottom water nutrient and isotope data were averaged with the surface
water values, the mixing lines plots and results did not change (data not
shown).</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p>By coupling isotope tracking techniques and a mass balance over broader
spatial and temporal scales, we found that an urban river–estuarine
continuum in the Chesapeake Bay, and likely similar estuaries globally can
transform anthropogenic inputs of N over relatively short spatial scales.
Only a small fraction of N inputs from a major wastewater treatment plant
were exported out of the estuary. However, processing of N by estuaries can
vary considerably across seasons and hydrologic extremes, with greater
exports during periods of higher flows and cooler temperatures, and greater
transformations and retention during longer hydrologic residence times and
warmer temperatures. In particular, this study supports previous work,
showing that non-point sources of N were more dominant during winter and
spring, when runoff from the watershed and estuarine flows were higher,
compared to summer and fall, when the point-sources were more dominant, due
to lower flows. These differences suggest N processing in urban rivers and
estuaries would differ from those in non-urban estuaries. Also, the
potential for long-term and widespread increase in water temperatures as well
as frequency and magnitude of droughts and floods through climate change
(Kaushal et al., 2010a, b, 2014b)
will likely influence the sources and transformation of nitrogen to the
Chesapeake Bay and estuaries globally. Consequently, future efforts to
manage nutrient exports along rivers and estuaries would benefit from a better
understanding of the interactive effects of land use and climate variability on
the sources, amounts, and transformations of N exported to coastal waters
and targeting critical times for more intensive wastewater treatment.</p>
</sec>
<sec id="Ch1.S6">
  <title>Data availability</title>
      <p>Data used for the research in this paper are available through 4TU.Centre (2016) at
the following DOI: <ext-link xlink:href="http://dx.doi.org/10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51" ext-link-type="DOI">10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51</ext-link>.</p>
<sec id="Ch1.S6.SSx1" specific-use="unnumbered">
  <title>Information about the Supplement</title>
      <p>The following can be found in the Supplement:
<list list-type="bullet"><list-item>
      <p>Additional site information and details on methods</p></list-item><list-item>
      <p>A table with site coordinates</p></list-item><list-item>
      <p>A table with the mixing model results</p></list-item><list-item>
      <p>A table comparing the box model (this study) and Chesapeake Bay Model</p></list-item><list-item>
      <p>A figure comparing box model results with and without bottom water isotope
data</p></list-item></list></p>
</sec>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/bg-13-6211-2016-supplement" xlink:title="pdf">doi:10.5194/bg-13-6211-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>This paper is based on work from Michael Pennino's PhD dissertation.
Michael Pennino collected water samples, conducted data analysis, and wrote
the manuscript. Sujay Kaushal contributed to the study design and
provided helpful feedback on data analysis and manuscript writing.
Sudhir Murthy contributed to study design, provided data, and contributed to
manuscript revisions. Joel Blomquist contributed to study design, sample
collection, and manuscript revisions.  Jeff Cornwell contributed to
manuscript revisions and provided feedback on data analysis.  Lora Harris
contributed to study design, helped with manuscript writing, and provided
significant contributions to data analysis (particularly for the box model
mass balance).</p>
  </notes><ack><title>Acknowledgements</title><p>The historical water quality data used
in this study were collected by the Maryland Department of Natural Resources
and is available free through the Chesapeake Bay Program's Data Hub website:
(<uri>www.chesapeakebay.net/data/downloads/cbp_water_quality_database_1984_present</uri>).</p><p>This research was supported by the Washington D.C. Water and Sewer
Authority. We would like to thank Sally Bowen and Matt Hall from the
Maryland Department of Natural Resources (DNR) for their assistance in
collecting monthly water samples along the Potomac Estuary and David Brower
at the US Geological Survey for help in collecting monthly river input
samples for the Potomac River. We acknowledge the input provided by Lewis Linker and Ping Wang of the US EPA Chesapeake Bay Program's Modeling Team
for providing simulated output from the CE QUAL ICEM model at three flux
boundaries in the Potomac for comparison with our box model output.
Gratitude is extended to  Jeremy Testa for his suggestions regarding the
box model effort. Tom Jordan also provided helpful suggestions.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: J. Middelburg<?xmltex \hack{\newline}?>
Reviewed by: A. E. Giblin and A. F. Bouwman</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>4TU.Centre: Sources and Transformations of Anthropogenic Nitrogen along an Urban River-Estuarine Continuum,
available at: <uri>http://doi.org/10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51</uri>, last access: 08 July 2016.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Aitkenhead-Peterson, J. A., Steele, M. K., Nahar, N., and Santhy, K.:
Dissolved organic carbon and nitrogen in urban and rural watersheds of
south-central Texas: land use and land management influences,
Biogeochemistry, 96, 119–129, 2009.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Betlach, M. R. and Tiedje, J. M.: Kinetic explanation for accumulation of
nitrite, nitric-oxide, and nitrous-oxide during bacterial denitrification,
Appl. Environ. Microbiol., 42, 1074–1084, 1981.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Billen, G., Somville, M., De Becker, E., and Servais, P.: A nitrogen budget
of the Scheldt hydrographical basin, Neth. J. Sea Res.,
19, 223–230, 1985.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Boesch, D. F., Brinsfield, R. B., and Magnien, R. E.: Chesapeake Bay
eutrophication: Scientific understanding, ecosystem restoration, and
challenges for agriculture, J. Environ. Qual., 30, 303–320, 2001.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Boynton, W. R., Garber, J. H., Summers, R., and Kemp, W. M.: Inputs,
transformations, and transport of nitrogen and phosphorus in Chesapeake Bay
and selected tributaries, Estuaries, 18, 285–314, 1995.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Boynton, W. R., Hagy, J. D., Cornwell, J. C., Kemp, W. M., Greene, S. M.,
Owens, M. S., Baker, J. E., and Larsen, R. K.: Nutrient budgets and
management actions in the Patuxent River estuary, Maryland, Estuar.
Coast., 31, 623–651, 2008.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Buda, A. R. and DeWalle, D. R.: Dynamics of stream nitrate sources and flow
pathways during stormflows on urban, forest and agricultural watersheds in
central Pennsylvania, USA, Hydrol. Process., 23, 3292–3305, 2009.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Burns, D. A. and Kendall, C.: Analysis of delta(15)N and delta(18)O to
differentiate NO(3)(-) sources in runoff at two watersheds in the Catskill
Mountains of New York, Water Resour. Res., 38, 1051, <ext-link xlink:href="http://dx.doi.org/10.1029/2001WR000292" ext-link-type="DOI">10.1029/2001WR000292</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Burns, D. A., Boyer, E. W., Elliott, E. M., and Kendall, C.: Sources and
Transformations of Nitrate from Streams Draining Varying Land Uses: Evidence
from Dual Isotope Analysis, J. Environ. Qual., 38, 1149–1159, 2009.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Casciotti, K. L., Sigman, D. M., Hastings, M. G., Bohlke, J. K., and
Hilkert, A.: Measurement of the oxygen isotopic composition of nitrate in
seawater and freshwater using the denitrifier method, Anal. Chem.,
74, 4905–4912, 2002.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Cerco, C., Kim, S. C., and Noel, M. R.: The 2010 Chesapeake Bay
Eutrophication Model, A Report to the US Environmental Protection Agency and
to the US Army Corps of Engineer Baltimore District, US Army Engineer
Research and Development Center, Vicksburg, MD, available at:
<uri>http://www.chesapeakebay.net/content/publications/cbp_26167.pdf</uri>
(last access: 7 May 2014), 2010.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Chesapeake Bay Program: CBP Water Quality Database (1984–present),
<uri>http://www.chesapeakebay.net/data/downloads/cbp_water_quality_database_1984_present</uri>,
last access: 29 October  2013.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>
Cornwell, J. C., Glibert, P. M., and Owens, M. S.: Nutrient Fluxes from
Sediments in the San Francisco Bay Delta, Estuar. Coast., 37,
1120–1133, 2014.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>
Cornwell, J. C., Owens, M. S., Boynton, W. R., and Harris, L. A.:
Sediment-Water Nitrogen Exchange along the Potomac River Estuarine Salinity
Gradient, J. Coast. Res., 32, 776–787, 2016.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>
Crump, B. C. and Baross, J. A.: Particle-attached bacteria and heterotrophic
plankton associated with the Columbia River estuarine turbidity maxima,
Mar. Ecol.-Prog. Ser., 138, 265–273, 1996.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
Dawson, R. N. and Murphy, K. L.: Temperature dependency of biological
denitrification, Water Res., 6, 71–83, 1972.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Divers, M. T., Elliott, E. M., and Bain, D. J.: Quantification of Nitrate
Sources to an Urban Stream Using Dual Nitrate Isotopes, Environ. Sci.
Technol., 48, 10580–10587, 2014.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R.,
and Mearns, L. O.: Climate extremes: Observations, modeling, and impacts,
Science, 289, 2068–2074, 2000.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>
Elliott, A. J.: The circulation and salinity distribution of the upper
Potomac estuary Maryland USA, Chesapeake Science, 17, 141–147, 1976.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Elliott, A. J.: Observations of meteorologically induced circulation in
Potomac estuary, Estuar. Coast. Mar. Sci., 6, 285–299, 1978.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>
Eyre, B. D. and Ferguson, A. J. P.: Benthic metabolism and nitrogen cycling
in a subtropical east Australian Estuary (Brunswick): Temporal variability
and controlling factors, Limnol. Oceanogr., 50, 81–96, 2005.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Fawcett, S. E., Ward, B. B., Lomas, M. W., and Sigman, D. M.: Vertical
decoupling of nitrate assimilation and nitrification in the Sargasso Sea,
Deep-Sea Res. Pt. I, 103, 64–72, 2015.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>
Filoso, S. and Palmer, M. A.: Assessing stream restoration effectiveness at
reducing nitrogen export to downstream waters, Ecol. Appl., 21,
1989–2006, 2011.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>
Fisher, T. R., Gustafson, A. B., Sellner, K., Lacouture, R., Haas, L. W.,
Wetzel, R. L., Magnien, R., Everitt, D., Michaels, B., and Karrh, R.:
Spatial and temporal variation of resource limitation in Chesapeake Bay,
Mar. Biol., 133, 763–778, 1999.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>
Fogel, M. and Cifuentes, L.: Isotope fractionation during primary
production, Plenum Press, New York, 1993.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., and Charnov, E.
L.: Effects of size and temperature on metabolic rate, Science, 293,
2248–2251, 2001.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>
Granger, J., Sigman, D. M., Needoba, J. A., and Harrison, P. J.: Coupled
nitrogen and oxygen isotope fractionation of nitrate during assimilation by
cultures of marine phytoplankton, Limnol. Oceanogr., 49, 1763–1773,
2004.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>
Granger, J., Sigman, D. M., Lehmann, M. F., and Tortell, P. D.: Nitrogen and
oxygen isotope fractionation during dissimilatory nitrate reduction by
denitrifying bacteria, Limnol. Oceanogr., 53, 2533–2545, 2008.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>
Hagy, J. D., Sanford, L. P., and Boynton, W. R.: Estimation of net physical
transport and hydraulic residence times for a coastal plain estuary using
box models, Estuaries, 23, 328–340, 2000.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>
Hamdan, L. J. and Jonas, R. B.: Seasonal and interannual dynamics of
free-living bacterioplankton and microbially labile organic carbon along the
salinity gradient of the Potomac River, Estuar. Coast., 29, 40–53,
2006.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>
Harris, L. A. and Brush, M. J.: Bridging the gap between empirical and
mechanistic models of aquatic primary production with the metabolic theory
of ecology: An example from estuarine ecosystems, Ecol. Modell., 233,
83–89, 2012.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>
Hopkinson, C. S. and Vallino, J. J.: The relationships among mans activities
in watersheds and estuaries – a model of runoff effects on patterns of
estuarine community metabolism, Estuaries, 18, 598–621, 1995.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>
Horrigan, S. G., Montoya, J. P., Nevins, J. L., and McCarthy, J. J.: Natural
isotopic composition of dissolved inorganic nitrogen in the Chesapeake Bay,
Estuar. Coast. Shelf Sci., 30, 393–410, 1990.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>
IPCC: Climate Change 2007, The Physical Science Basis, Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, Cambridge University Press, Cambridge and New York,
2007.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>
Jaworski, N. A., Groffman, P. M., Keller, A. A., and Prager, J. C.: A
watershed nitrogen and phosphorus balance – the upper Potomac River basin,
Estuaries, 15, 83–95, 1992.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>
Jordan, T. E., Weller, D. E., and Correll, D. L.: Sources of nutrient inputs
to the Patuxent River estuary, Estuaries, 26, 226–243, 2003.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>
Jordan, T. E., Cornwell, J. C., Boynton, W. R., and Anderson, J. T.: Changes
in phosphorus biogeochemistry along an estuarine salinity gradient: The iron
conveyer belt, Limnol. Oceanogr., 53, 172–184, 2008.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>
Karrh, R., Romano, W., Garrison, S., Michael, B., Hall, M., Coyne, K.,
Reynolds, D., and Ebersole, B.: Maryland Tributary Strategy Upper Potomac
River Basin Summary Report for 1985–2005 Data, Maryland Department of
Natural Resources, 2007a.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>
Karrh, R., Romano, W., Raves-Golden, R., Tango, P., Garrison, S., Michael,
B., Baldizar, J., Trumbauer, C., Hall, M., Cole, B., Aadland, C., Trice, M.,
Coyne, K., Reynolds, D., Ebersole, B., and Karrh, L.: Maryland Tributary
Strategy Lower Potomac River Basin Summary Report for 1985–2005 Data,
Maryland Department of Natural Resources, 2007b.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>
Karsh, K. L., Granger, J., Kritee, K., and Sigman, D. M.: Eukaryotic
Assimilatory Nitrate Reductase Fractionates N and O Isotopes with a Ratio
near Unity, Environ. Sci. Technol., 46, 5727–5735, 2012.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>
Karsh, K. L., Trull, T. W., Sigman, D. M., Thompson, P. A., and Granger, J.:
The contributions of nitrate uptake and efflux to isotope fractionation
during algal nitrate assimilation, Geochim. Cosmochim. Ac., 132,
391–412, 2014.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>
Kaushal, S. S. and Belt, K. T.: The urban watershed continuum: evolving
spatial and temporal dimensions, Urban Ecosystems, 15, 409–435, 2012.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>
Kaushal, S. S., Likens, G. E., Jaworski, N. A., Pace, M. L., Sides, A. M.,
Seekell, D., Belt, K. T., Secor, D. H., and Wingate, R. L.: Rising stream
and river temperatures in the United States, Front. Ecol. Environ., 8, 461–466, 2010a.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>
Kaushal, S. S., Pace, M. L., Groffman, P. M., Band, L. E., Belt, K. T.,
Mayer, P. M., and Welty, C.: Land use and climate variability amplify
contaminant pulses, EOS, 91, 221–222, 2010b.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>
Kaushal, S. S., Groffman, P. M., Band, L. E., Elliott, E. M., Shields, C.
A., and Kendall, C.: Tracking Nonpoint Source Nitrogen Pollution in
Human-Impacted Watersheds, Environ. Sci. Technol., 45, 8225–8232, 2011.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>Kaushal, S. S., Delaney-Newcomb, K., Findlay, S. E. G., Newcomer, T. A.,
Duan, S., Pennino, M. J., Sivirichi, G. M., Sides-Raley, A. M., Walbridge,
M. R., and Belt, K. T.: Longitudinal patterns in carbon and nitrogen fluxes
and stream metabolism along an urban watershed continuum, Biogeochemistry,
121,  23–44, <ext-link xlink:href="http://dx.doi.org/10.1007/s10533-014-9979-9" ext-link-type="DOI">10.1007/s10533-014-9979-9</ext-link>, 2014a.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>
Kaushal, S. S., Mayer, P. M., Vidon, P. G., Smith, R. M., Pennino, M. J.,
Duan, S., Newcomer, T. A., Welty, C., and Belt, K. T.: Land use and climate
variability amplify carbon, nutrient, and contaminant pulses: a review with
management implications, J. Am. Water Resour. Assoc., 50, 585–614, 2014b.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>
Kaushal, S. S., McDowell, W. H., and Wollheim, W. M.: Tracking evolution of
urban biogeochemical cycles: past, present, and future, Biogeochemistry,
121, 1–21, 2014c.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>
Kemp, W. M., Sampou, P., Caffrey, J., Mayer, M., Henriksen, K., and Boynton,
W. R.: Ammonium recycling versus denitrification in Chesapeake Bay
sediments, Limnol. Oceanogr., 35, 1545–1563, 1990.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>Kendall, C., Elliott, E. M., and Wankel, S. D.: Tracing anthropogenic inputs
of nitrogen to ecosystems, Stable Isotopes in Ecology and Environmental
Science, 2nd Edn., <ext-link xlink:href="http://dx.doi.org/10.1002/9780470691854.ch12" ext-link-type="DOI">10.1002/9780470691854.ch12</ext-link>, 375–449,  2007.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>
Lehmann, M. F., Reichert, P., Bernasconi, S. M., Barbieri, A., and McKenzie,
J. A.: Modelling nitrogen and oxygen isotope fractionation during
denitrification in a lacustrine redox-transition zone, Geochim. Cosmochim. Ac., 67, 2529–2542, 2003.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>
Marconi, D., Weigand, M. A., Rafter, P. A., McIlvin, M. R., Forbes, M.,
Casciotti, K. L., and Sigman, D. M.: Nitrate isotope distributions on the US
GEOTRACES North Atlantic cross-basin section: Signals of polar nitrate
sources and low latitude nitrogen cycling, Mar. Chem., 177, 143–156,
2015.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>
Mariotti, A., Germon, J. C., Hubert, P., Kaiser, P., Letolle, R., Tardieux,
A., and Tardieux, P.: Experimental-determination of nitrogen kinetic isotope
fractionation – some principles – illustration for the denitrification and
nitrification processes, Plant Soil, 62, 413–430, 1981.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>
Mayer, B., Bollwerk, S. M., Mansfeldt, T., Hutter, B., and Veizer, J.: The
oxygen isotope composition of nitrate generated by nitrification in acid
forest floors, Geochim. Cosmochim. Ac., 65, 2743–2756, 2001.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>
Mayer, B., Boyer, E. W., Goodale, C., Jaworski, N. A., Van Breemen, N.,
Howarth, R. W., Seitzinger, S., Billen, G., Lajtha, L. J., Nosal, M., and
Paustian, K.: Sources of nitrate in rivers draining sixteen watersheds in
the northeastern US: Isotopic constraints, Biogeochemistry, 57, 171–197,
2002.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><mixed-citation>
Middelburg, J. J. and Nieuwenhuize, J.: Nitrogen isotope tracing of
dissolved inorganic nitrogen behaviour in tidal estuaries, Estuar. Coast. Shelf Sci., 53, 385–391, 2001.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><mixed-citation>
Middelburg, J. J. and Nieuwenhuize, J.: Nitrogen uptake by heterotrophic
bacteria and phytoplankton in the nitrate-rich Thames estuary, Mar. Ecol.-Prog. Ser., 203, 13–21, 2000.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><mixed-citation>
Milliman, J. D., Shen, H. T., Yang, Z. S., and Meade, R. H.: Transport and
deposition of river sediment in the changjiang estuary and adjacent
continental-shelf, Cont. Shelf Res., 4, 37–45, 1985.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><mixed-citation>
Nixon, S. W., Ammerman, J. W., Atkinson, L. P., Berounsky, V. M., Billen,
G., Boicourt, W. C., Boynton, W. R., Church, T. M., Ditoro, D. M., Elmgren,
R., Garber, J. H., Giblin, A. E., Jahnke, R. A., Owens, N. J. P., Pilson, M.
E. Q., and Seitzinger, S. P.: The fate of nitrogen and phosphorus at the
land sea margin of the North Atlantic Ocean, Biogeochemistry, 35, 141–180,
1996.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><mixed-citation>
Nowicki, B. L.: The effect of temperature, oxygen, salinity, and nutrient
enrichment on estuarine denitrification rates measured with a modified
nitrogen gas flux technique, Estuar. Coast. Shelf Sci., 38,
137–156, 1994.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><mixed-citation>
Oczkowski, A., Nixon, S., Henry, K., DiMilla, P., Pilson, M., Granger, S.,
Buckley, B., Thornber, C., McKinney, R., and Chaves, J.: Distribution and
trophic importance of anthropogenic nitrogen in Narragansett Bay: An
assessment using stable isotopes, Estuar. Coast., 31, 53–69, 2008.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><mixed-citation>
Officer, C. B.: Box models revisited, in: Estuarine and wetland processes,
with emphasis on modeling, edited by: Hamilton, P. and Macdonald, K. B., Plenum
Press, New York and London, 1980.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><mixed-citation>
Paerl, H. W., Valdes, L. M., Piehler, M. F., and Stow, C. A.: Assessing the
effects of nutrient management in an estuary experiencing climatic change:
The Neuse River Estuary, North Carolina, Environ. Manage., 37, 422–436,
2006.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><mixed-citation>
Parnell, A. C., Inger, R., Bearhop, S., and Jackson, A. L.: Source
Partitioning Using Stable Isotopes: Coping with Too Much Variation, Plos
One, 5, 2010.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><mixed-citation>
Parnell, A. C., Phillips, D. L., Bearhop, S., Semmens, B. X., Ward, E. J.,
Moore, J. W., Jackson, A. L., Grey, J., Kelly, D. J., and Inger, R.:
Bayesian stable isotope mixing models, Environmetrics, 24, 387–399, 2013.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><mixed-citation>Petrone, K. C.: Catchment export of carbon, nitrogen, and phosphorus across
an agro-urban land use gradient, Swan-Canning River system, southwestern
Australia, J. Geophys. Res.-Biogeo., 115,  G01016, <ext-link xlink:href="http://dx.doi.org/10.1029/2009JG001051" ext-link-type="DOI">10.1029/2009JG001051</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><mixed-citation>
Pfenning, K. S. and McMahon, P. B.: Effect of nitrate, organic carbon, and
temperature on potential denitrification rates in nitrate-rich riverbed
sediments, J. Hydrol., 187, 283–295, 1997.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><mixed-citation>
Pritchard, D. W.: The dynamic structure of a coastal plain estuary, J. Mar. Res., 15, 33–42, 1956.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><mixed-citation>R Development Core Team: <uri>http://www.R-project.org</uri> (last access: 15 June 2016), 2013.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><mixed-citation>
Rafter, P. A., DiFiore, P. J., and Sigman, D. M.: Coupled nitrate nitrogen
and oxygen isotopes and organic matter remineralization in the Southern and
Pacific Oceans, J. Geophys. Res.-Oceans, 118, 4781–4794,
2013.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><mixed-citation>
Sanford, L. P., Suttles, S. E., and Halka, J. P.: Reconsidering the physics
of the Chesapeake Bay estuarine turbidity maximum, Estuaries, 24, 655–669,
2001.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><mixed-citation>
Saunders, M. A. and Lea, A. S.: Large contribution of sea surface warming to
recent increase in Atlantic hurricane activity, Nature, 451, 557–553, 2008.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><mixed-citation>
Sigman, D. M., Casciotti, K. L., Andreani, M., Barford, C., Galanter, M.,
and Bohlke, J. K.: A bacterial method for the nitrogen isotopic analysis of
nitrate in seawater and freshwater, Anal. Chem., 73, 4145–4153,
2001.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><mixed-citation>
Smart, S. M., Fawcett, S. E., Thomalla, S. J., Weigand, M. A., Reason, C. J.
C., and Sigman, D. M.: Isotopic evidence for nitrification in the Antarctic
winter mixed layer, Global Biogeochem. Cy., 29, 427–445, 2015.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><mixed-citation>
Testa, J. M., Kemp, W. M., Boynton, W. R., and Hagy, J. D.: Long-Term
Changes in Water Quality and Productivity in the Patuxent River Estuary:
1985 to 2003, Estuar. Coast., 31, 1021–1037, 2008.</mixed-citation></ref>
      <ref id="bib1.bib77"><label>77</label><mixed-citation>US-EPA: Clean Water Act, United States Environmental Protection Agency, <uri>http://cfpub.epa.gov/npdes/cwa.cfm</uri> (last access: 19 June 2014), 1972.</mixed-citation></ref>
      <ref id="bib1.bib78"><label>78</label><mixed-citation>US-EPA: US Environmental Protection Agency, National Pollutant Discharge Elimination System (NPDES), <uri>http://cfpub.epa.gov/npdes/</uri> (last access: 19 June 2014), 2009.</mixed-citation></ref>
      <ref id="bib1.bib79"><label>79</label><mixed-citation>
US-EPA: US Environmental Protection Agency, National Pollutant Discharge
Elimination System (NPDES) Stormwater Program, 2011.</mixed-citation></ref>
      <ref id="bib1.bib80"><label>80</label><mixed-citation>US EPA: Concentrated Animal Feeding Operations (CAFOs) per County Downloadable Package, US, 2013, US Environmental Protection Agency, <ext-link xlink:href="http://catalog.data.gov/dataset/concentrated-animal-feeding-operations-cafos-per-county-downloadable-package-us-2013-us-epa">http://catalog.data.gov/dataset/concentrated-animal-feeding</ext-link>,
last access: 22 September  2016.</mixed-citation></ref>
      <ref id="bib1.bib81"><label>81</label><mixed-citation>USGS: US Geological Survey Surface Water Data, <uri>http://waterdata.usgs.gov/md/nwis/uv?01646500</uri> (last access: 11 June 2014),
2014.</mixed-citation></ref>
      <ref id="bib1.bib82"><label>82</label><mixed-citation>
Vavilin, V. A.: Describing a Kinetic Effect of Fractionation of Stable
Nitrogen Isotopes in Nitrification Process, Water Resour., 41, 325–329,
2014.</mixed-citation></ref>
      <ref id="bib1.bib83"><label>83</label><mixed-citation>Vavilin, V. A., Rytov, S. V., and Lokshina, L. Y.: Non-linear dynamics of
nitrogen isotopic signature based on biological kinetic model of uptake and
assimilation of ammonium, nitrate and urea by a marine diatom, Ecol. Modell., 279, 45–53, 2014.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib84"><label>84</label><mixed-citation>
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A.,
Schindler, D. W., Schlesinger, W. H., and Tilman, D.: Human alteration of
the global nitrogen cycle: Sources and consequences, Ecol. Appl., 7, 737–750, 1997.</mixed-citation></ref>
      <ref id="bib1.bib85"><label>85</label><mixed-citation>
Wang, S. Q., Tang, C. Y., Song, X. F., Yuan, R. Q., Wang, Q. X., and Zhang,
Y. H.: Using major ions and delta N-15-NO3- to identify nitrate sources and
fate in an alluvial aquifer of the Baiyangdian lake watershed, North China
Plain, Environmental Science-Processes &amp; Impacts, 15, 1430–1443, 2013.</mixed-citation></ref>
      <ref id="bib1.bib86"><label>86</label><mixed-citation>
Wankel, S. D., Kendall, C., Francis, C. A., and Paytan, A.: Nitrogen sources
and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic
composition approach, Limnol. Oceanogr., 51, 1654–1664, 2006.</mixed-citation></ref>
      <ref id="bib1.bib87"><label>87</label><mixed-citation>
Waser, N. A., Yin, K. D., Yu, Z. M., Tada, K., Harrison, P. J., Turpin, D.
H., and Calvert, S. E.: Nitrogen isotope fractionation during nitrate,
ammonium and urea uptake by marine diatoms and coccolithophores under
various conditions of N availability, Mar. Ecol.-Prog. Ser., 169,
29–41, 1998a.</mixed-citation></ref>
      <ref id="bib1.bib88"><label>88</label><mixed-citation>
Waser, N. A. D., Harrison, P. J., Nielsen, B., Calvert, S. E., and Turpin,
D. H.: Nitrogen isotope fractionation during the uptake and assimilation of
nitrate, nitrite, ammonium, and urea by a marine diatom, Limnol. Oceanogr., 43, 215–224, 1998b.</mixed-citation></ref>
      <ref id="bib1.bib89"><label>89</label><mixed-citation>
Wiegert, R. G. and Penaslado, E.: Nitrogen-pulsed systems on the coast of
northwest Spain, Estuaries, 18, 622–635, 1995.</mixed-citation></ref>
      <ref id="bib1.bib90"><label>90</label><mixed-citation>
Xue, D. M., De Baets, B., Van Cleemput, O., Hennessy, C., Berglund, M., and
Boeckx, P.: Use of a Bayesian isotope mixing model to estimate proportional
contributions of multiple nitrate sources in surface water, Environ.
Pollut., 161, 43–49, 2012.</mixed-citation></ref>
      <ref id="bib1.bib91"><label>91</label><mixed-citation>
Yang, Y. Y. and Toor, G. S.: delta N-15 and delta O-18 Reveal the Sources of
Nitrate-Nitrogen in Urban Residential Stormwater Runoff, Environ. Sci.
Technol., 50, 2881–2889, 2016.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>Sources and transformations of anthropogenic nitrogen along an urban river–estuarine continuum</article-title-html>
<abstract-html><p class="p">Urbanization has altered the fate and transport of anthropogenic nitrogen
(N) in rivers and estuaries globally. This study evaluates the capacity of
an urbanizing river–estuarine continuum to transform N inputs from the
world's largest advanced (e.g., phosphorus and biological N removal)
wastewater treatment facility. Effluent samples and surface water were
collected monthly along the Potomac River estuary from Washington D.C. to
the Chesapeake Bay over a distance of 150 km. In conjunction with box model mass balances,
nitrate stable isotopes and mixing models were used to trace the fate of
urban wastewater nitrate. Nitrate concentrations and <i>δ</i><sup>15</sup>N-NO<sub>3</sub><sup>−</sup> values were higher down-estuary from the Blue
Plains wastewater outfall in Washington D.C. (2.25 ± 0.62 mg L<sup>−1</sup> and
25.7 ± 2.9 ‰, respectively) compared to
upper-estuary concentrations (1.0 ± 0.2 mg L<sup>−1</sup> and 9.3 ± 1.4 ‰, respectively). Nitrate concentration then
decreased rapidly within 30 km down-estuary (to
0.8 ± 0.2 mg L<sup>−1</sup>),
corresponding to an increase in organic nitrogen and dissolved organic
carbon, suggesting biotic uptake and organic transformation. TN loads
declined down-estuary (from an annual average of 48 000 ± 5000 kg day<sup>−1</sup>
at the sewage treatment plant outfall to 23 000 ± 13 000 kg day<sup>−1</sup> at the
estuary mouth), with the greatest percentage decrease during summer and
fall. Annually, there was a 70 ± 31 % loss in wastewater
NO<sub>3</sub><sup>−</sup> along the estuary, and 28 ± 6 % of urban wastewater TN
inputs were exported to the Chesapeake Bay, with the greatest contribution
of wastewater TN loads during the spring. Our results suggest that
biological transformations along the urban river–estuary continuum can
significantly transform wastewater N inputs from major cities globally, and
more work is necessary to evaluate the potential of organic nitrogen and
carbon to contribute to eutrophication and hypoxia.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
4TU.Centre: Sources and Transformations of Anthropogenic Nitrogen along an Urban River-Estuarine Continuum,
available at: <a href="http://doi.org/10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51" target="_blank">http://doi.org/10.4121/uuid:e68c6141-f83e-4375-ac3b-088ddf4eff51</a>, last access: 08 July 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Aitkenhead-Peterson, J. A., Steele, M. K., Nahar, N., and Santhy, K.:
Dissolved organic carbon and nitrogen in urban and rural watersheds of
south-central Texas: land use and land management influences,
Biogeochemistry, 96, 119–129, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Betlach, M. R. and Tiedje, J. M.: Kinetic explanation for accumulation of
nitrite, nitric-oxide, and nitrous-oxide during bacterial denitrification,
Appl. Environ. Microbiol., 42, 1074–1084, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Billen, G., Somville, M., De Becker, E., and Servais, P.: A nitrogen budget
of the Scheldt hydrographical basin, Neth. J. Sea Res.,
19, 223–230, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Boesch, D. F., Brinsfield, R. B., and Magnien, R. E.: Chesapeake Bay
eutrophication: Scientific understanding, ecosystem restoration, and
challenges for agriculture, J. Environ. Qual., 30, 303–320, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Boynton, W. R., Garber, J. H., Summers, R., and Kemp, W. M.: Inputs,
transformations, and transport of nitrogen and phosphorus in Chesapeake Bay
and selected tributaries, Estuaries, 18, 285–314, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Boynton, W. R., Hagy, J. D., Cornwell, J. C., Kemp, W. M., Greene, S. M.,
Owens, M. S., Baker, J. E., and Larsen, R. K.: Nutrient budgets and
management actions in the Patuxent River estuary, Maryland, Estuar.
Coast., 31, 623–651, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Buda, A. R. and DeWalle, D. R.: Dynamics of stream nitrate sources and flow
pathways during stormflows on urban, forest and agricultural watersheds in
central Pennsylvania, USA, Hydrol. Process., 23, 3292–3305, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Burns, D. A. and Kendall, C.: Analysis of delta(15)N and delta(18)O to
differentiate NO(3)(-) sources in runoff at two watersheds in the Catskill
Mountains of New York, Water Resour. Res., 38, 1051, <a href="http://dx.doi.org/10.1029/2001WR000292" target="_blank">doi:10.1029/2001WR000292</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Burns, D. A., Boyer, E. W., Elliott, E. M., and Kendall, C.: Sources and
Transformations of Nitrate from Streams Draining Varying Land Uses: Evidence
from Dual Isotope Analysis, J. Environ. Qual., 38, 1149–1159, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Casciotti, K. L., Sigman, D. M., Hastings, M. G., Bohlke, J. K., and
Hilkert, A.: Measurement of the oxygen isotopic composition of nitrate in
seawater and freshwater using the denitrifier method, Anal. Chem.,
74, 4905–4912, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Cerco, C., Kim, S. C., and Noel, M. R.: The 2010 Chesapeake Bay
Eutrophication Model, A Report to the US Environmental Protection Agency and
to the US Army Corps of Engineer Baltimore District, US Army Engineer
Research and Development Center, Vicksburg, MD, available at:
<a href="http://www.chesapeakebay.net/content/publications/cbp_26167.pdf" target="_blank">http://www.chesapeakebay.net/content/publications/cbp_26167.pdf</a>
(last access: 7 May 2014), 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Chesapeake Bay Program: CBP Water Quality Database (1984–present),
<a href="http://www.chesapeakebay.net/data/downloads/cbp_water_quality_database_1984_present" target="_blank">http://www.chesapeakebay.net/data/downloads/cbp_water_quality_database_1984_present</a>,
last access: 29 October  2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Cornwell, J. C., Glibert, P. M., and Owens, M. S.: Nutrient Fluxes from
Sediments in the San Francisco Bay Delta, Estuar. Coast., 37,
1120–1133, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Cornwell, J. C., Owens, M. S., Boynton, W. R., and Harris, L. A.:
Sediment-Water Nitrogen Exchange along the Potomac River Estuarine Salinity
Gradient, J. Coast. Res., 32, 776–787, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Crump, B. C. and Baross, J. A.: Particle-attached bacteria and heterotrophic
plankton associated with the Columbia River estuarine turbidity maxima,
Mar. Ecol.-Prog. Ser., 138, 265–273, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Dawson, R. N. and Murphy, K. L.: Temperature dependency of biological
denitrification, Water Res., 6, 71–83, 1972.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Divers, M. T., Elliott, E. M., and Bain, D. J.: Quantification of Nitrate
Sources to an Urban Stream Using Dual Nitrate Isotopes, Environ. Sci.
Technol., 48, 10580–10587, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R.,
and Mearns, L. O.: Climate extremes: Observations, modeling, and impacts,
Science, 289, 2068–2074, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Elliott, A. J.: The circulation and salinity distribution of the upper
Potomac estuary Maryland USA, Chesapeake Science, 17, 141–147, 1976.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Elliott, A. J.: Observations of meteorologically induced circulation in
Potomac estuary, Estuar. Coast. Mar. Sci., 6, 285–299, 1978.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Eyre, B. D. and Ferguson, A. J. P.: Benthic metabolism and nitrogen cycling
in a subtropical east Australian Estuary (Brunswick): Temporal variability
and controlling factors, Limnol. Oceanogr., 50, 81–96, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Fawcett, S. E., Ward, B. B., Lomas, M. W., and Sigman, D. M.: Vertical
decoupling of nitrate assimilation and nitrification in the Sargasso Sea,
Deep-Sea Res. Pt. I, 103, 64–72, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Filoso, S. and Palmer, M. A.: Assessing stream restoration effectiveness at
reducing nitrogen export to downstream waters, Ecol. Appl., 21,
1989–2006, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Fisher, T. R., Gustafson, A. B., Sellner, K., Lacouture, R., Haas, L. W.,
Wetzel, R. L., Magnien, R., Everitt, D., Michaels, B., and Karrh, R.:
Spatial and temporal variation of resource limitation in Chesapeake Bay,
Mar. Biol., 133, 763–778, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Fogel, M. and Cifuentes, L.: Isotope fractionation during primary
production, Plenum Press, New York, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., and Charnov, E.
L.: Effects of size and temperature on metabolic rate, Science, 293,
2248–2251, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Granger, J., Sigman, D. M., Needoba, J. A., and Harrison, P. J.: Coupled
nitrogen and oxygen isotope fractionation of nitrate during assimilation by
cultures of marine phytoplankton, Limnol. Oceanogr., 49, 1763–1773,
2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Granger, J., Sigman, D. M., Lehmann, M. F., and Tortell, P. D.: Nitrogen and
oxygen isotope fractionation during dissimilatory nitrate reduction by
denitrifying bacteria, Limnol. Oceanogr., 53, 2533–2545, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Hagy, J. D., Sanford, L. P., and Boynton, W. R.: Estimation of net physical
transport and hydraulic residence times for a coastal plain estuary using
box models, Estuaries, 23, 328–340, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Hamdan, L. J. and Jonas, R. B.: Seasonal and interannual dynamics of
free-living bacterioplankton and microbially labile organic carbon along the
salinity gradient of the Potomac River, Estuar. Coast., 29, 40–53,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Harris, L. A. and Brush, M. J.: Bridging the gap between empirical and
mechanistic models of aquatic primary production with the metabolic theory
of ecology: An example from estuarine ecosystems, Ecol. Modell., 233,
83–89, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Hopkinson, C. S. and Vallino, J. J.: The relationships among mans activities
in watersheds and estuaries – a model of runoff effects on patterns of
estuarine community metabolism, Estuaries, 18, 598–621, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Horrigan, S. G., Montoya, J. P., Nevins, J. L., and McCarthy, J. J.: Natural
isotopic composition of dissolved inorganic nitrogen in the Chesapeake Bay,
Estuar. Coast. Shelf Sci., 30, 393–410, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
IPCC: Climate Change 2007, The Physical Science Basis, Contribution of
Working Group I to the Fourth Assessment Report of the Intergovernmental
Panel on Climate Change, Cambridge University Press, Cambridge and New York,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Jaworski, N. A., Groffman, P. M., Keller, A. A., and Prager, J. C.: A
watershed nitrogen and phosphorus balance – the upper Potomac River basin,
Estuaries, 15, 83–95, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Jordan, T. E., Weller, D. E., and Correll, D. L.: Sources of nutrient inputs
to the Patuxent River estuary, Estuaries, 26, 226–243, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Jordan, T. E., Cornwell, J. C., Boynton, W. R., and Anderson, J. T.: Changes
in phosphorus biogeochemistry along an estuarine salinity gradient: The iron
conveyer belt, Limnol. Oceanogr., 53, 172–184, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Karrh, R., Romano, W., Garrison, S., Michael, B., Hall, M., Coyne, K.,
Reynolds, D., and Ebersole, B.: Maryland Tributary Strategy Upper Potomac
River Basin Summary Report for 1985–2005 Data, Maryland Department of
Natural Resources, 2007a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Karrh, R., Romano, W., Raves-Golden, R., Tango, P., Garrison, S., Michael,
B., Baldizar, J., Trumbauer, C., Hall, M., Cole, B., Aadland, C., Trice, M.,
Coyne, K., Reynolds, D., Ebersole, B., and Karrh, L.: Maryland Tributary
Strategy Lower Potomac River Basin Summary Report for 1985–2005 Data,
Maryland Department of Natural Resources, 2007b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Karsh, K. L., Granger, J., Kritee, K., and Sigman, D. M.: Eukaryotic
Assimilatory Nitrate Reductase Fractionates N and O Isotopes with a Ratio
near Unity, Environ. Sci. Technol., 46, 5727–5735, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Karsh, K. L., Trull, T. W., Sigman, D. M., Thompson, P. A., and Granger, J.:
The contributions of nitrate uptake and efflux to isotope fractionation
during algal nitrate assimilation, Geochim. Cosmochim. Ac., 132,
391–412, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Kaushal, S. S. and Belt, K. T.: The urban watershed continuum: evolving
spatial and temporal dimensions, Urban Ecosystems, 15, 409–435, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Kaushal, S. S., Likens, G. E., Jaworski, N. A., Pace, M. L., Sides, A. M.,
Seekell, D., Belt, K. T., Secor, D. H., and Wingate, R. L.: Rising stream
and river temperatures in the United States, Front. Ecol. Environ., 8, 461–466, 2010a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Kaushal, S. S., Pace, M. L., Groffman, P. M., Band, L. E., Belt, K. T.,
Mayer, P. M., and Welty, C.: Land use and climate variability amplify
contaminant pulses, EOS, 91, 221–222, 2010b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Kaushal, S. S., Groffman, P. M., Band, L. E., Elliott, E. M., Shields, C.
A., and Kendall, C.: Tracking Nonpoint Source Nitrogen Pollution in
Human-Impacted Watersheds, Environ. Sci. Technol., 45, 8225–8232, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Kaushal, S. S., Delaney-Newcomb, K., Findlay, S. E. G., Newcomer, T. A.,
Duan, S., Pennino, M. J., Sivirichi, G. M., Sides-Raley, A. M., Walbridge,
M. R., and Belt, K. T.: Longitudinal patterns in carbon and nitrogen fluxes
and stream metabolism along an urban watershed continuum, Biogeochemistry,
121,  23–44, <a href="http://dx.doi.org/10.1007/s10533-014-9979-9" target="_blank">doi:10.1007/s10533-014-9979-9</a>, 2014a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Kaushal, S. S., Mayer, P. M., Vidon, P. G., Smith, R. M., Pennino, M. J.,
Duan, S., Newcomer, T. A., Welty, C., and Belt, K. T.: Land use and climate
variability amplify carbon, nutrient, and contaminant pulses: a review with
management implications, J. Am. Water Resour. Assoc., 50, 585–614, 2014b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Kaushal, S. S., McDowell, W. H., and Wollheim, W. M.: Tracking evolution of
urban biogeochemical cycles: past, present, and future, Biogeochemistry,
121, 1–21, 2014c.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Kemp, W. M., Sampou, P., Caffrey, J., Mayer, M., Henriksen, K., and Boynton,
W. R.: Ammonium recycling versus denitrification in Chesapeake Bay
sediments, Limnol. Oceanogr., 35, 1545–1563, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Kendall, C., Elliott, E. M., and Wankel, S. D.: Tracing anthropogenic inputs
of nitrogen to ecosystems, Stable Isotopes in Ecology and Environmental
Science, 2nd Edn., <a href="http://dx.doi.org/10.1002/9780470691854.ch12" target="_blank">doi:10.1002/9780470691854.ch12</a>, 375–449,  2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Lehmann, M. F., Reichert, P., Bernasconi, S. M., Barbieri, A., and McKenzie,
J. A.: Modelling nitrogen and oxygen isotope fractionation during
denitrification in a lacustrine redox-transition zone, Geochim. Cosmochim. Ac., 67, 2529–2542, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Marconi, D., Weigand, M. A., Rafter, P. A., McIlvin, M. R., Forbes, M.,
Casciotti, K. L., and Sigman, D. M.: Nitrate isotope distributions on the US
GEOTRACES North Atlantic cross-basin section: Signals of polar nitrate
sources and low latitude nitrogen cycling, Mar. Chem., 177, 143–156,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Mariotti, A., Germon, J. C., Hubert, P., Kaiser, P., Letolle, R., Tardieux,
A., and Tardieux, P.: Experimental-determination of nitrogen kinetic isotope
fractionation – some principles – illustration for the denitrification and
nitrification processes, Plant Soil, 62, 413–430, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Mayer, B., Bollwerk, S. M., Mansfeldt, T., Hutter, B., and Veizer, J.: The
oxygen isotope composition of nitrate generated by nitrification in acid
forest floors, Geochim. Cosmochim. Ac., 65, 2743–2756, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Mayer, B., Boyer, E. W., Goodale, C., Jaworski, N. A., Van Breemen, N.,
Howarth, R. W., Seitzinger, S., Billen, G., Lajtha, L. J., Nosal, M., and
Paustian, K.: Sources of nitrate in rivers draining sixteen watersheds in
the northeastern US: Isotopic constraints, Biogeochemistry, 57, 171–197,
2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Middelburg, J. J. and Nieuwenhuize, J.: Nitrogen isotope tracing of
dissolved inorganic nitrogen behaviour in tidal estuaries, Estuar. Coast. Shelf Sci., 53, 385–391, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Middelburg, J. J. and Nieuwenhuize, J.: Nitrogen uptake by heterotrophic
bacteria and phytoplankton in the nitrate-rich Thames estuary, Mar. Ecol.-Prog. Ser., 203, 13–21, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Milliman, J. D., Shen, H. T., Yang, Z. S., and Meade, R. H.: Transport and
deposition of river sediment in the changjiang estuary and adjacent
continental-shelf, Cont. Shelf Res., 4, 37–45, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Nixon, S. W., Ammerman, J. W., Atkinson, L. P., Berounsky, V. M., Billen,
G., Boicourt, W. C., Boynton, W. R., Church, T. M., Ditoro, D. M., Elmgren,
R., Garber, J. H., Giblin, A. E., Jahnke, R. A., Owens, N. J. P., Pilson, M.
E. Q., and Seitzinger, S. P.: The fate of nitrogen and phosphorus at the
land sea margin of the North Atlantic Ocean, Biogeochemistry, 35, 141–180,
1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Nowicki, B. L.: The effect of temperature, oxygen, salinity, and nutrient
enrichment on estuarine denitrification rates measured with a modified
nitrogen gas flux technique, Estuar. Coast. Shelf Sci., 38,
137–156, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Oczkowski, A., Nixon, S., Henry, K., DiMilla, P., Pilson, M., Granger, S.,
Buckley, B., Thornber, C., McKinney, R., and Chaves, J.: Distribution and
trophic importance of anthropogenic nitrogen in Narragansett Bay: An
assessment using stable isotopes, Estuar. Coast., 31, 53–69, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Officer, C. B.: Box models revisited, in: Estuarine and wetland processes,
with emphasis on modeling, edited by: Hamilton, P. and Macdonald, K. B., Plenum
Press, New York and London, 1980.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Paerl, H. W., Valdes, L. M., Piehler, M. F., and Stow, C. A.: Assessing the
effects of nutrient management in an estuary experiencing climatic change:
The Neuse River Estuary, North Carolina, Environ. Manage., 37, 422–436,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Parnell, A. C., Inger, R., Bearhop, S., and Jackson, A. L.: Source
Partitioning Using Stable Isotopes: Coping with Too Much Variation, Plos
One, 5, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Parnell, A. C., Phillips, D. L., Bearhop, S., Semmens, B. X., Ward, E. J.,
Moore, J. W., Jackson, A. L., Grey, J., Kelly, D. J., and Inger, R.:
Bayesian stable isotope mixing models, Environmetrics, 24, 387–399, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Petrone, K. C.: Catchment export of carbon, nitrogen, and phosphorus across
an agro-urban land use gradient, Swan-Canning River system, southwestern
Australia, J. Geophys. Res.-Biogeo., 115,  G01016, <a href="http://dx.doi.org/10.1029/2009JG001051" target="_blank">doi:10.1029/2009JG001051</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Pfenning, K. S. and McMahon, P. B.: Effect of nitrate, organic carbon, and
temperature on potential denitrification rates in nitrate-rich riverbed
sediments, J. Hydrol., 187, 283–295, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Pritchard, D. W.: The dynamic structure of a coastal plain estuary, J. Mar. Res., 15, 33–42, 1956.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
R Development Core Team: <a href="http://www.R-project.org" target="_blank">http://www.R-project.org</a> (last access: 15 June 2016), 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Rafter, P. A., DiFiore, P. J., and Sigman, D. M.: Coupled nitrate nitrogen
and oxygen isotopes and organic matter remineralization in the Southern and
Pacific Oceans, J. Geophys. Res.-Oceans, 118, 4781–4794,
2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Sanford, L. P., Suttles, S. E., and Halka, J. P.: Reconsidering the physics
of the Chesapeake Bay estuarine turbidity maximum, Estuaries, 24, 655–669,
2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Saunders, M. A. and Lea, A. S.: Large contribution of sea surface warming to
recent increase in Atlantic hurricane activity, Nature, 451, 557–553, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Sigman, D. M., Casciotti, K. L., Andreani, M., Barford, C., Galanter, M.,
and Bohlke, J. K.: A bacterial method for the nitrogen isotopic analysis of
nitrate in seawater and freshwater, Anal. Chem., 73, 4145–4153,
2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
Smart, S. M., Fawcett, S. E., Thomalla, S. J., Weigand, M. A., Reason, C. J.
C., and Sigman, D. M.: Isotopic evidence for nitrification in the Antarctic
winter mixed layer, Global Biogeochem. Cy., 29, 427–445, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
Testa, J. M., Kemp, W. M., Boynton, W. R., and Hagy, J. D.: Long-Term
Changes in Water Quality and Productivity in the Patuxent River Estuary:
1985 to 2003, Estuar. Coast., 31, 1021–1037, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>77</label><mixed-citation>
US-EPA: Clean Water Act, United States Environmental Protection Agency, <a href="http://cfpub.epa.gov/npdes/cwa.cfm" target="_blank">http://cfpub.epa.gov/npdes/cwa.cfm</a> (last access: 19 June 2014), 1972.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>78</label><mixed-citation>
US-EPA: US Environmental Protection Agency, National Pollutant Discharge Elimination System (NPDES), <a href="http://cfpub.epa.gov/npdes/" target="_blank">http://cfpub.epa.gov/npdes/</a> (last access: 19 June 2014), 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>79</label><mixed-citation>
US-EPA: US Environmental Protection Agency, National Pollutant Discharge
Elimination System (NPDES) Stormwater Program, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>80</label><mixed-citation>
US EPA: Concentrated Animal Feeding Operations (CAFOs) per County Downloadable Package, US, 2013, US Environmental Protection Agency, <a href="http://catalog.data.gov/dataset/concentrated-animal-feeding-operations-cafos-per-county-downloadable-package-us-2013-us-epa" target="_blank">http://catalog.data.gov/dataset/concentrated-animal-feeding</a>,
last access: 22 September  2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>81</label><mixed-citation>
USGS: US Geological Survey Surface Water Data, <a href="http://waterdata.usgs.gov/md/nwis/uv?01646500" target="_blank">http://waterdata.usgs.gov/md/nwis/uv?01646500</a> (last access: 11 June 2014),
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>82</label><mixed-citation>
Vavilin, V. A.: Describing a Kinetic Effect of Fractionation of Stable
Nitrogen Isotopes in Nitrification Process, Water Resour., 41, 325–329,
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>83</label><mixed-citation>
Vavilin, V. A., Rytov, S. V., and Lokshina, L. Y.: Non-linear dynamics of
nitrogen isotopic signature based on biological kinetic model of uptake and
assimilation of ammonium, nitrate and urea by a marine diatom, Ecol. Modell., 279, 45–53, 2014.

</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>84</label><mixed-citation>
Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A.,
Schindler, D. W., Schlesinger, W. H., and Tilman, D.: Human alteration of
the global nitrogen cycle: Sources and consequences, Ecol. Appl., 7, 737–750, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>85</label><mixed-citation>
Wang, S. Q., Tang, C. Y., Song, X. F., Yuan, R. Q., Wang, Q. X., and Zhang,
Y. H.: Using major ions and delta N-15-NO3- to identify nitrate sources and
fate in an alluvial aquifer of the Baiyangdian lake watershed, North China
Plain, Environmental Science-Processes &amp; Impacts, 15, 1430–1443, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>86</label><mixed-citation>
Wankel, S. D., Kendall, C., Francis, C. A., and Paytan, A.: Nitrogen sources
and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic
composition approach, Limnol. Oceanogr., 51, 1654–1664, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>87</label><mixed-citation>
Waser, N. A., Yin, K. D., Yu, Z. M., Tada, K., Harrison, P. J., Turpin, D.
H., and Calvert, S. E.: Nitrogen isotope fractionation during nitrate,
ammonium and urea uptake by marine diatoms and coccolithophores under
various conditions of N availability, Mar. Ecol.-Prog. Ser., 169,
29–41, 1998a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>88</label><mixed-citation>
Waser, N. A. D., Harrison, P. J., Nielsen, B., Calvert, S. E., and Turpin,
D. H.: Nitrogen isotope fractionation during the uptake and assimilation of
nitrate, nitrite, ammonium, and urea by a marine diatom, Limnol. Oceanogr., 43, 215–224, 1998b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>89</label><mixed-citation>
Wiegert, R. G. and Penaslado, E.: Nitrogen-pulsed systems on the coast of
northwest Spain, Estuaries, 18, 622–635, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>90</label><mixed-citation>
Xue, D. M., De Baets, B., Van Cleemput, O., Hennessy, C., Berglund, M., and
Boeckx, P.: Use of a Bayesian isotope mixing model to estimate proportional
contributions of multiple nitrate sources in surface water, Environ.
Pollut., 161, 43–49, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>91</label><mixed-citation>
Yang, Y. Y. and Toor, G. S.: delta N-15 and delta O-18 Reveal the Sources of
Nitrate-Nitrogen in Urban Residential Stormwater Runoff, Environ. Sci.
Technol., 50, 2881–2889, 2016.
</mixed-citation></ref-html>--></article>
