Articles | Volume 14, issue 11
https://doi.org/10.5194/bg-14-2831-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-2831-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Influence of infrastructure on water quality and greenhouse gas dynamics in urban streams
Rose M. Smith
CORRESPONDING AUTHOR
Department of Biology, University of Utah, Salt Lake City, UT 84112,
USA
Department of Geology, Earth System Science Interdisciplinary
Center, University of Maryland, College Park, MD 20742, USA
Sujay S. Kaushal
Department of Geology, Earth System Science Interdisciplinary
Center, University of Maryland, College Park, MD 20742, USA
Jake J. Beaulieu
US Environmental Protection Agency, Office of Research and
Development, National Risk Management Research
Laboratory, Cincinnati, OH 45220, USA
Michael J. Pennino
US Environmental Protection Agency National Health and Environmental
Effects Research Lab, Corvallis, OR 97333, USA
Department of Chemical, Biochemical, and Environmental Engineering,
Center for Urban Environmental Research and
Education, University of Maryland Baltimore County, Baltimore, MD 21250,
USA
Claire Welty
Department of Chemical, Biochemical, and Environmental Engineering,
Center for Urban Environmental Research and
Education, University of Maryland Baltimore County, Baltimore, MD 21250,
USA
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Latest update: 05 Nov 2024
Short summary
Urban streams receive excess nitrogen from numerous sources. We hypothesized that variations in carbon availability and subsurface infrastructure influence emissions of N2O and other greenhouse gases (CH4 and CO2) as excess N is utilized by microbes. We sampled eight streams draining four categories of stormwater and sanitary infrastructure. Dissolved nitrogen concentration was the strongest predictor of CO2 and N2O concentrations, while C : N ratio was the strongest predictor of CH4 in streams.
Urban streams receive excess nitrogen from numerous sources. We hypothesized that variations in...
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