Articles | Volume 19, issue 3
https://doi.org/10.5194/bg-19-665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Feb 2022
Research article |
| 03 Feb 2022
| 03 Feb 2022
Predicting the impact of spatial heterogeneity on microbially mediated nutrient cycling in the subsurface
Swamini Khurana
CORRESPONDING AUTHOR
Department of Environmental Microbiology, Helmholtz Centre for
Environmental Research – UFZ, Leipzig, 04318, Germany
Falk Heße
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig, 04318, Germany
Institute of Earth and Environmental Science-Geoecology, University Potsdam,
Potsdam, 14476, Germany
Anke Hildebrandt
Department of Computational Hydrosystems, Helmholtz Centre for
Environmental Research – UFZ, Leipzig, 04318, Germany
Institute of Geoscience, Friedrich Schiller University Jena, Jena, 07749, Germany
German Centre for Integrative Biodiversity Research, Leipzig, 04103, Germany
Martin Thullner
Department of Environmental Microbiology, Helmholtz Centre for
Environmental Research – UFZ, Leipzig, 04318, Germany
Related authors
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Gökben Demir, Andrew J. Guswa, Janett Filipzik, Johanna Clara Metzger, Christine Römermann, and Anke Hildebrandt
Hydrol. Earth Syst. Sci., 28, 1441–1461, https://doi.org/10.5194/hess-28-1441-2024, https://doi.org/10.5194/hess-28-1441-2024, 2024
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Experimental evidence is scarce to understand how the spatial variation in below-canopy precipitation affects root water uptake patterns. Here, we conducted field measurements to investigate drivers of root water uptake patterns while accounting for canopy induced heterogeneity in water input. We found that tree species interactions and soil moisture variability, rather than below-canopy precipitation patterns, control root water uptake patterns in a mixed unmanaged forest.
Amir Golparvar, Matthias Kästner, and Martin Thullner
Geosci. Model Dev., 17, 881–898, https://doi.org/10.5194/gmd-17-881-2024, https://doi.org/10.5194/gmd-17-881-2024, 2024
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Coupled reaction transport modelling is an established and beneficial method for studying natural and synthetic porous material, with applications ranging from industrial processes to natural decompositions in terrestrial environments. Up to now, a framework that explicitly considers the porous structure (e.g. from µ-CT images) for modelling the transport of reactive species is missing. We presented a model that overcomes this limitation and represents a novel numerical simulation toolbox.
Falk Heße, Sebastian Müller, and Sabine Attinger
Hydrol. Earth Syst. Sci., 28, 357–374, https://doi.org/10.5194/hess-28-357-2024, https://doi.org/10.5194/hess-28-357-2024, 2024
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In this study, we have presented two different advances for the field of subsurface geostatistics. First, we present data of variogram functions from a variety of different locations around the world. Second, we present a series of geostatistical analyses aimed at examining some of the statistical properties of such variogram functions and their relationship to a number of widely used variogram model functions.
Sinikka J. Paulus, Rene Orth, Sung-Ching Lee, Anke Hildebrandt, Martin Jung, Jacob A. Nelson, Tarek S. El-Madany, Arnaud Carrara, Gerardo Moreno, Matthias Mauder, Jannis Groh, Alexander Graf, Markus Reichstein, and Mirco Migliavacca
EGUsphere, https://doi.org/10.5194/egusphere-2023-2556, https://doi.org/10.5194/egusphere-2023-2556, 2023
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In this analysis, we compare weighing lysimeters and the eddy covariance (EC) method to test if EC is able to measure the adsorption of atmospheric water vapor by soils at night. We find this flux to occur frequently during dry nights in a Mediterranean ecosystem and 88.8 % of the EC-measured downward-directed vapor fluxes occur when at least one lysimeter detects soil vapor adsorption. The EC method underestimates however both, evaporation and soil vapor adsorption at the site.
Sandra Raab, Karel Castro-Morales, Anke Hildebrandt, Martin Heimann, Jorien Elisabeth Vonk, Nikita Zimov, and Mathias Goeckede
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-156, https://doi.org/10.5194/bg-2023-156, 2023
Revised manuscript accepted for BG
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Water status is an important control factor on sustainability of Arctic permafrost soils, including production and transport of carbon. We compared a drained permafrost ecosystem with a natural control area, investigating water levels, thaw depths, and lateral water flows. We found that shifts in water levels following drainage affected carbon processes and that lateral transport patterns were of major relevance. Understanding these shifts is crucial for future carbon budget studies.
Sven Armin Westermann, Anke Hildebrandt, Souhail Bousetta, and Stephan Thober
EGUsphere, https://doi.org/10.5194/egusphere-2023-2101, https://doi.org/10.5194/egusphere-2023-2101, 2023
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Plants at the land surface mediates between soil and atmosphere regarding water and carbon transport. Since plant growth is a dynamic process, models need to care for this dynamics. Here, two models which predict water and carbon fluxes by considering plant temporal evolution were tested against observational data. Currently, dynamizing plants in these models did not enhance their representativeness which is caused by a mismatch between implemented physical relations and observable connections.
Christine Fischer-Bedtke, Johanna Clara Metzger, Gökben Demir, Thomas Wutzler, and Anke Hildebrandt
Hydrol. Earth Syst. Sci., 27, 2899–2918, https://doi.org/10.5194/hess-27-2899-2023, https://doi.org/10.5194/hess-27-2899-2023, 2023
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Canopies change how rain reaches the soil: some spots receive more and others less water. It has long been debated whether this also leads to locally wetter and drier soil. We checked this using measurements of canopy drip and soil moisture. We found that the increase in soil water content after rain was aligned with canopy drip. Independently, the soil storage reaction was dampened in locations prone to drainage, like hig-macroporosity areas, suggesting that canopy drip enhances bypass flow.
Sinikka Jasmin Paulus, Tarek Sebastian El-Madany, René Orth, Anke Hildebrandt, Thomas Wutzler, Arnaud Carrara, Gerardo Moreno, Oscar Perez-Priego, Olaf Kolle, Markus Reichstein, and Mirco Migliavacca
Hydrol. Earth Syst. Sci., 26, 6263–6287, https://doi.org/10.5194/hess-26-6263-2022, https://doi.org/10.5194/hess-26-6263-2022, 2022
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In this study, we analyze small inputs of water to ecosystems such as fog, dew, and adsorption of vapor. To measure them, we use a scaling system and later test our attribution of different water fluxes to weight changes. We found that they occur frequently during 1 year in a dry summer ecosystem. In each season, a different flux seems dominant, but they all mainly occur during the night. Therefore, they could be important for the biosphere because rain is unevenly distributed over the year.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
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In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Ralf Loritz, Maoya Bassiouni, Anke Hildebrandt, Sibylle K. Hassler, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 4757–4771, https://doi.org/10.5194/hess-26-4757-2022, https://doi.org/10.5194/hess-26-4757-2022, 2022
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In this study, we combine a deep-learning approach that predicts sap flow with a hydrological model to improve soil moisture and transpiration estimates at the catchment scale. Our results highlight that hybrid-model approaches, combining machine learning with physically based models, are a promising way to improve our ability to make hydrological predictions.
Bahar Bahrami, Anke Hildebrandt, Stephan Thober, Corinna Rebmann, Rico Fischer, Luis Samaniego, Oldrich Rakovec, and Rohini Kumar
Geosci. Model Dev., 15, 6957–6984, https://doi.org/10.5194/gmd-15-6957-2022, https://doi.org/10.5194/gmd-15-6957-2022, 2022
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Leaf area index (LAI) and gross primary productivity (GPP) are crucial components to carbon cycle, and are closely linked to water cycle in many ways. We develop a Parsimonious Canopy Model (PCM) to simulate GPP and LAI at stand scale, and show its applicability over a diverse range of deciduous broad-leaved forest biomes. With its modular structure, the PCM is able to adapt with existing data requirements, and run in either a stand-alone mode or as an interface linked to hydrologic models.
Sebastian Müller, Lennart Schüler, Alraune Zech, and Falk Heße
Geosci. Model Dev., 15, 3161–3182, https://doi.org/10.5194/gmd-15-3161-2022, https://doi.org/10.5194/gmd-15-3161-2022, 2022
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The GSTools package provides a Python-based platform for geoostatistical applications. Salient features of GSTools are its random field generation, its kriging capabilities and its versatile covariance model. It is furthermore integrated with other Python packages, like PyKrige, ogs5py or scikit-gstat, and provides interfaces to meshio and PyVista. Four presented workflows showcase the abilities of GSTools.
Josephin Kroll, Jasper M. C. Denissen, Mirco Migliavacca, Wantong Li, Anke Hildebrandt, and Rene Orth
Biogeosciences, 19, 477–489, https://doi.org/10.5194/bg-19-477-2022, https://doi.org/10.5194/bg-19-477-2022, 2022
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Plant growth relies on having access to energy (solar radiation) and water (soil moisture). This energy and water availability is impacted by weather extremes, like heat waves and droughts, which will occur more frequently in response to climate change. In this context, we analysed global satellite data to detect in which regions extreme plant growth is controlled by energy or water. We find that extreme plant growth is associated with temperature- or soil-moisture-related extremes.
Miao Jing, Rohini Kumar, Falk Heße, Stephan Thober, Oldrich Rakovec, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 24, 1511–1526, https://doi.org/10.5194/hess-24-1511-2020, https://doi.org/10.5194/hess-24-1511-2020, 2020
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This study investigates the response of regional groundwater system to the climate change under three global warming levels (1.5, 2, and 3 °C) in a central German basin. A comprehensive uncertainty analysis is also presented. This study indicates that the variability of responses increases with the amount of global warming, which might affect the cost of managing the groundwater system.
Johanna C. Metzger, Jens Schumacher, Markus Lange, and Anke Hildebrandt
Hydrol. Earth Syst. Sci., 23, 4433–4452, https://doi.org/10.5194/hess-23-4433-2019, https://doi.org/10.5194/hess-23-4433-2019, 2019
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Variation in stemflow (rain water running down the stem) enhances the formation of flow hot spots at the forest floor. Investigating drivers based on detailed measurements, we find that forest structure affects stemflow, both for individual trees and small communities. Densely packed forest patches received more stemflow, due to a higher proportion of woody structure and canopy morphology adjustments, which increase the potential for flow path generation connecting crowns and soil.
Miao Jing, Falk Heße, Rohini Kumar, Olaf Kolditz, Thomas Kalbacher, and Sabine Attinger
Hydrol. Earth Syst. Sci., 23, 171–190, https://doi.org/10.5194/hess-23-171-2019, https://doi.org/10.5194/hess-23-171-2019, 2019
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We evaluated the uncertainty propagation from the inputs (forcings) and parameters to the predictions of groundwater travel time distributions (TTDs) using a fully distributed numerical model (mHM-OGS) and the StorAge Selection (SAS) function. Through detailed numerical and analytical investigations, we emphasize the key role of recharge estimation in the reliable predictions of TTDs and the good interpretability of the SAS function.
Yoram Rubin, Ching-Fu Chang, Jiancong Chen, Karina Cucchi, Bradley Harken, Falk Heße, and Heather Savoy
Hydrol. Earth Syst. Sci., 22, 5675–5695, https://doi.org/10.5194/hess-22-5675-2018, https://doi.org/10.5194/hess-22-5675-2018, 2018
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This paper addresses questions related to the adoption of stochastic methods in hydrogeology, looking at factors such as environmental regulations, financial incentives, higher education, and the collective feedback loop involving these factors. We show that stochastic hydrogeology's blind spot is in focusing on risk while ignoring uncertainty, to the detriment of its potential clients. The imbalance between the treatments of risk and uncertainty is shown to be common to multiple disciplines.
Miao Jing, Falk Heße, Rohini Kumar, Wenqing Wang, Thomas Fischer, Marc Walther, Matthias Zink, Alraune Zech, Luis Samaniego, Olaf Kolditz, and Sabine Attinger
Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, https://doi.org/10.5194/gmd-11-1989-2018, 2018
Nicolas Dalla Valle, Karin Potthast, Stefanie Meyer, Beate Michalzik, Anke Hildebrandt, and Thomas Wutzler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-336, https://doi.org/10.5194/hess-2017-336, 2017
Manuscript not accepted for further review
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Dual permeability models are an important tool to simulate water movement in soils and can be used to assess the risk of groundwater contamination by pesticides or the risk of flooding after strong precipitation events. However, their application is often hampered by the large amount of data they require. We developed a method to run this kind of models based on mostly just soil water content measurements, which will hopefully increase their usage and improve environmental risk assessment.
Falk Heße, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 549–570, https://doi.org/10.5194/hess-21-549-2017, https://doi.org/10.5194/hess-21-549-2017, 2017
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Travel-time distributions are a comprehensive tool for the characterization of hydrological systems. In our study, we used data that were simulated by virtue of a well-established hydrological model. This gave us a very large yet realistic dataset, both in time and space, from which we could infer the relative impact of different factors on travel-time behavior. These were, in particular, meteorological (precipitation), land surface (land cover, leaf-area index) and subsurface (soil) properties.
Anke Hildebrandt, Axel Kleidon, and Marcel Bechmann
Hydrol. Earth Syst. Sci., 20, 3441–3454, https://doi.org/10.5194/hess-20-3441-2016, https://doi.org/10.5194/hess-20-3441-2016, 2016
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This theoretical paper describes the energy fluxes and dissipation along the flow paths involved in root water uptake, an approach that is rarely taken. We show that this provides useful additional insights for understanding the biotic and abiotic impediments to root water uptake. This approach shall be applied to explore efficient water uptake strategies and help locate the limiting processes in the complex soil–plant–atmosphere system.
M. Guderle and A. Hildebrandt
Hydrol. Earth Syst. Sci., 19, 409–425, https://doi.org/10.5194/hess-19-409-2015, https://doi.org/10.5194/hess-19-409-2015, 2015
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This paper is the result of a numerical study to test the application of water balance methods for estimating evapotranspiration and water extraction profiles based on measured soil water content data. The advantage of the tested methods is that they do not rely on a priori information of any root distribution parameters. Our research shows the potential of water balance methods for derivation of water extraction profiles, but their application may be challenging in realistic conditions.
M. Bechmann, C. Schneider, A. Carminati, D. Vetterlein, S. Attinger, and A. Hildebrandt
Hydrol. Earth Syst. Sci., 18, 4189–4206, https://doi.org/10.5194/hess-18-4189-2014, https://doi.org/10.5194/hess-18-4189-2014, 2014
Related subject area
Biogeochemistry: Groundwater
Small-scale hydrological patterns in a Siberian permafrost ecosystem affected by drainage
Conversion of tropical forests to smallholder rubber and oil palm plantations impacts nutrient leaching losses and nutrient retention efficiency in highly weathered soils
Molecular characterization of organic matter mobilized from Bangladeshi aquifer sediment: tracking carbon compositional change during microbial utilization
Tracking the direct impact of rainfall on groundwater at Mt. Fuji by multiple analyses including microbial DNA
Functional diversity of microbial communities in pristine aquifers inferred by PLFA- and sequencing-based approaches
Biogeochemical constraints on the origin of methane in an alluvial aquifer: evidence for the upward migration of methane from underlying coal measures
Ash leachates from some recent eruptions of Mount Etna (Italy) and Popocatépetl (Mexico) volcanoes and their impact on amphibian living freshwater organisms
Predicting the denitrification capacity of sandy aquifers from in situ measurements using push–pull 15N tracer tests
Biomass uptake and fire as controls on groundwater solute evolution on a southeast Australian granite: aboriginal land management hypothesis
17O excess traces atmospheric nitrate in paleo-groundwater of the Saharan desert
Interactions of local climatic, biotic and hydrogeochemical processes facilitate phosphorus dynamics along an Everglades forest-marsh gradient
Predicting the denitrification capacity of sandy aquifers from shorter-term incubation experiments and sediment properties
Management, regulation and environmental impacts of nitrogen fertilization in northwestern Europe under the Nitrates Directive; a benchmark study
Regional analysis of groundwater nitrate concentrations and trends in Denmark in regard to agricultural influence
Denitrification and inference of nitrogen sources in the karstic Floridan Aquifer
Characterization of broom fibers for PRB in the remediation of aquifers contaminated by heavy metals
Sandra Raab, Karel Castro-Morales, Anke Hildebrandt, Martin Heimann, Jorien Elisabeth Vonk, Nikita Zimov, and Mathias Goeckede
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-156, https://doi.org/10.5194/bg-2023-156, 2023
Revised manuscript accepted for BG
Short summary
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Water status is an important control factor on sustainability of Arctic permafrost soils, including production and transport of carbon. We compared a drained permafrost ecosystem with a natural control area, investigating water levels, thaw depths, and lateral water flows. We found that shifts in water levels following drainage affected carbon processes and that lateral transport patterns were of major relevance. Understanding these shifts is crucial for future carbon budget studies.
Syahrul Kurniawan, Marife D. Corre, Amanda L. Matson, Hubert Schulte-Bisping, Sri Rahayu Utami, Oliver van Straaten, and Edzo Veldkamp
Biogeosciences, 15, 5131–5154, https://doi.org/10.5194/bg-15-5131-2018, https://doi.org/10.5194/bg-15-5131-2018, 2018
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Our study generates information to aid policies and improve soil management practices for minimizing the negative impacts of forest conversion to rubber and oil palm plantations while maintaining production. Compared to forests, the fertilized areas of oil palm plantations had higher leaching of N, organic C, and base cations, whereas the unfertilized rubber plantations showed lower leaching of dissolved P and organic C. These signaled a decrease in extant soil fertility and groundwater quality.
Lara E. Pracht, Malak M. Tfaily, Robert J. Ardissono, and Rebecca B. Neumann
Biogeosciences, 15, 1733–1747, https://doi.org/10.5194/bg-15-1733-2018, https://doi.org/10.5194/bg-15-1733-2018, 2018
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Organic carbon in aquifer recharge waters and sediments can fuel microbial reactions that affect groundwater quality. We used high-resolution mass spectrometry to molecularly characterize organic carbon mobilized off sediment collected from a Bangladeshi aquifer, to reference its composition against dissolved organic carbon in aquifer recharge water, to track compositional changes during incubation, and to advance understanding of microbial processing of organic carbon in anaerobic environments.
Ayumi Sugiyama, Suguru Masuda, Kazuyo Nagaosa, Maki Tsujimura, and Kenji Kato
Biogeosciences, 15, 721–732, https://doi.org/10.5194/bg-15-721-2018, https://doi.org/10.5194/bg-15-721-2018, 2018
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The direct impact of rainfall on groundwater at Mt. Fuji, the largest volcanic mountain in Japan, was elucidated by multiple analyses including microbial DNA. Bacterial abundance and DNA not only supported the findings on the movement of groundwater obtained from chemical analyses but also elucidated chemically unseen flow. Evidence of piston flow in deep groundwater was first shown through changes in archaeal density and diversity. Microbial analysis extends our understanding of groundwater.
Valérie F. Schwab, Martina Herrmann, Vanessa-Nina Roth, Gerd Gleixner, Robert Lehmann, Georg Pohnert, Susan Trumbore, Kirsten Küsel, and Kai U. Totsche
Biogeosciences, 14, 2697–2714, https://doi.org/10.5194/bg-14-2697-2017, https://doi.org/10.5194/bg-14-2697-2017, 2017
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We used phospholipid fatty acids (PLFAs) to link specific microbial markers to the spatio-temporal changes of groundwater physico-chemistry. PLFA-based functional groups were directly supported by DNA/RNA results. O2 resulted in increased eukaryotic biomass and abundance of nitrite-oxidizing bacteria but impeded anammox, sulphate-reducing and iron-reducing bacteria. Our study demonstrates the power of PLFA-based approaches to study the nature and activity of microorganisms in pristine aquifers.
Charlotte P. Iverach, Sabrina Beckmann, Dioni I. Cendón, Mike Manefield, and Bryce F. J. Kelly
Biogeosciences, 14, 215–228, https://doi.org/10.5194/bg-14-215-2017, https://doi.org/10.5194/bg-14-215-2017, 2017
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This research characterised the biogeochemical constraints on the origin of methane in an alluvial aquifer, concluding that the most likely source was the upward migration from a directly underlying coal seam. This research was undertaken due to concerns about the effect of coal seam gas production on groundwater quality in the study area. The implications include the fact that no methane is being produced in the aquifer (in situ) and that there is local natural connectivity in the study area.
M. D'Addabbo, R. Sulpizio, M. Guidi, G. Capitani, P. Mantecca, and G. Zanchetta
Biogeosciences, 12, 7087–7106, https://doi.org/10.5194/bg-12-7087-2015, https://doi.org/10.5194/bg-12-7087-2015, 2015
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Leaching experiments were carried out on fresh ash samples from the 2012 Popocatépetl, and 2011/12 Etna eruptions, in order to investigate the release of compounds in water. Results were discussed in the light of changing pH and release of compounds for the different leachates. They were used for toxicity experiments on living biota (Xenopus laevis). They are mildly toxic, and no significant differences exist between the toxic profiles of the two leachates.
W. Eschenbach, R. Well, and W. Walther
Biogeosciences, 12, 2327–2346, https://doi.org/10.5194/bg-12-2327-2015, https://doi.org/10.5194/bg-12-2327-2015, 2015
J. F. Dean, J. A. Webb, G. E. Jacobsen, R. Chisari, and P. E. Dresel
Biogeosciences, 11, 4099–4114, https://doi.org/10.5194/bg-11-4099-2014, https://doi.org/10.5194/bg-11-4099-2014, 2014
M. Dietzel, A. Leis, R. Abdalla, J. Savarino, S. Morin, M. E. Böttcher, and S. Köhler
Biogeosciences, 11, 3149–3161, https://doi.org/10.5194/bg-11-3149-2014, https://doi.org/10.5194/bg-11-3149-2014, 2014
T. G. Troxler, C. Coronado-Molina, D. N. Rondeau, S. Krupa, S. Newman, M. Manna, R. M. Price, and F. H. Sklar
Biogeosciences, 11, 899–914, https://doi.org/10.5194/bg-11-899-2014, https://doi.org/10.5194/bg-11-899-2014, 2014
W. Eschenbach and R. Well
Biogeosciences, 10, 1013–1035, https://doi.org/10.5194/bg-10-1013-2013, https://doi.org/10.5194/bg-10-1013-2013, 2013
H. J. M. van Grinsven, H. F. M. ten Berge, T. Dalgaard, B. Fraters, P. Durand, A. Hart, G. Hofman, B. H. Jacobsen, S. T. J. Lalor, J. P. Lesschen, B. Osterburg, K. G. Richards, A.-K. Techen, F. Vertès, J. Webb, and W. J. Willems
Biogeosciences, 9, 5143–5160, https://doi.org/10.5194/bg-9-5143-2012, https://doi.org/10.5194/bg-9-5143-2012, 2012
B. Hansen, T. Dalgaard, L. Thorling, B. Sørensen, and M. Erlandsen
Biogeosciences, 9, 3277–3286, https://doi.org/10.5194/bg-9-3277-2012, https://doi.org/10.5194/bg-9-3277-2012, 2012
J. B. Heffernan, A. R. Albertin, M. L. Fork, B. G. Katz, and M. J. Cohen
Biogeosciences, 9, 1671–1690, https://doi.org/10.5194/bg-9-1671-2012, https://doi.org/10.5194/bg-9-1671-2012, 2012
C. Fallico, S. Troisi, A. Molinari, and M. F. Rivera
Biogeosciences, 7, 2545–2556, https://doi.org/10.5194/bg-7-2545-2010, https://doi.org/10.5194/bg-7-2545-2010, 2010
Cited articles
Aguilera, D. R., Jourabchi, P., Spiteri, C., and Regnier, P.: A knowledge-based reactive transport approach for the simulation of biogeochemical dynamics in Earth systems, Geochem. Geophys. Geosys., 6, Q07012, https://doi.org/10.1029/2004gc000899, 2005.
Alewell, C., Paul, S., Lischeid, G., Küsel, K., and Gehre, M.:
Characterizing the redox status in three different forested wetlands with
geochemical data, Environ. Sci. Technol., 40, 7609–7615,
https://doi.org/10.1021/es061018y, 2006.
Alfreider, A., Krossbacher, M., and Psenner, R.: Groundwater samples do not
reflect bacterial densities and activity in subsurface systems, Water
Res., 31, 832–840, 1997.
Anneser, B., Einsiedl, F., Meckenstock, R. U., Richters, L., Wisotzky, F.,
and Griebler, C.: High-resolution monitoring of biogeochemical gradients in
a tar oil-contaminated aquifer, Appl. Geochem., 23, 1715–1730,
https://doi.org/10.1016/j.apgeochem.2008.02.003, 2008.
Arora, B., Spycher, N. F., Steefel, C. I., Molins, S., Bill, M., Conrad, M.
E., Dong, W., Faybishenko, B., Tokunaga, T. K., Wan, J., Williams, K. H.,
and Yabusaki, S. B.: Influence of hydrological, biogeochemical and
temperature transients on subsurface carbon fluxes in a flood plain
environment, Biogeochemistry, 127, 367–396, https://doi.org/10.1007/s10533-016-0186-8, 2016.
Báez-Cazull, S., McGuire, J. T., Cozzarelli, I. M., Raymond, A., and
Welsh, L.: Centimeter-scale characterization of biogeochemical gradients at
a wetland-aquifer interface using capillary electrophoresis, Appl. Geochem., 22, 2664–2683, https://doi.org/10.1016/j.apgeochem.2007.06.003, 2007.
Ballarini, E., Beyer, C., Bauer, R. D., Griebler, C., and Bauer, S.: Model
based evaluation of a contaminant plume development under aerobic and
anaerobic conditions in 2D bench-scale tank experiments, Biodegradation, 25,
351–371, https://doi.org/10.1007/s10532-013-9665-y, 2014.
Benk, S. A., Yan, L., Lehmann, R., Roth, V.-N., Schwab, V. F., Totsche, K.
U., Küsel, K., and Gleixner, G.: Fueling Diversity in the Subsurface:
Composition and Age of Dissolved Organic Matter in the Critical Zone,
Front. Earth Sci., 7, 296, https://doi.org/10.3389/feart.2019.00296, 2019.
Centler, F., Shao, H., De Biase, C., Park, C.-H., Regnier, P., Kolditz, O.,
and Thullner, M.: GeoSysBRNS – A flexible multidimensional reactive
transport model for simulating biogeochemical subsurface processes,
Comp. Geosci., 36, 397–405, https://doi.org/10.1016/j.cageo.2009.06.009, 2010.
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J.,
Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg,
J. J., and Melack, J.: Plumbing the Global Carbon Cycle: Integrating Inland
Waters into the Terrestrial Carbon Budget, Ecosystems, 10, 172–185,
https://doi.org/10.1007/s10021-006-9013-8, 2007.
Couradeau, E., Sasse, J., Goudeau, D., Nath, N., Hazen, T. C., Bowen, B. P.,
Chakraborty, R., Malmstrom, R. R., and Northen, T. R.: Probing the active
fraction of soil microbiomes using BONCAT-FACS, Nat. Commun., 10, 2770,
https://doi.org/10.1038/s41467-019-10542-0, 2019.
De Brabandere, L., Canfield, D. E., Dalsgaard, T., Friederich, G. E.,
Revsbech, N. P., Ulloa, O., and Thamdrup, B.: Vertical partitioning of
nitrogen-loss processes across the oxic-anoxic interface of an oceanic
oxygen minimum zone, Environ Microbiol., 16, 3041–3054,
https://doi.org/10.1111/1462-2920.12255, 2014.
Desbarats, A. J. and Bachu, S.: Geostatistical analysis of aquifer
heterogeneity from the core scale to the basin scale: A case study, Water Resour. Res., 30,
673–684, 1994.
Ding, D.: Transport of bacteria in aquifer sediment: experiments and
modeling, Hydrogeol. J., 18, 669–679, https://doi.org/10.1007/s10040-009-0559-3,
2009.
Dwivedi, D., Arora, B., Steefel, C. I., Dafflon, B., and Versteeg, R.: Hot
Spots and Hot Moments of Nitrogen in a Riparian Corridor, Water Resour. Res., 54, 205–222, https://doi.org/10.1002/2017wr022346, 2018.
Eckert, D., Kürzinger, P., Bauer, R., Griebler, C., and Cirpka, O. A.:
Fringe-controlled biodegradation under dynamic conditions: Quasi 2-D
flow-through experiments and reactive-transport modeling, J. Contaminant Hydrol., 172, 100–111,
https://doi.org/10.1016/j.jconhyd.2014.11.003, 2015.
Edery, Y., Porta, G. M., Guadagnini, A., Scher, H., and Berkowitz, B.:
Characterization of Bimolecular Reactive Transport in Heterogeneous Porous
Media, Transport in Porous Media, 115, 291–310, https://doi.org/10.1007/s11242-016-0684-0, 2016.
Franklin, S., Vasilas, B., and Jin, Y.: More than Meets the Dye: Evaluating
Preferential Flow Paths as Microbial Hotspots, Vadose Zone J., 18,
190024, https://doi.org/10.2136/vzj2019.03.0024, 2019.
Fukuda, R., Ogawa, H., Nagata, T., and Koike, I.: Direct determination of
carbon and nitrogen contents of natural bacterial assemblages in marine
environments, Appl. Environ. Microb., 64, 3352–3358,
https://doi.org/10.1128/aem.64.9.3352-3358.1998, 1998.
Gharasoo, M., Centler, F., Regnier, P., Harms, H., and Thullner, M.: A
reactive transport modeling approach to simulate biogeochemical processes in
pore structures with pore-scale heterogeneities, Environ. Model. Softw., 30, 102–114, https://doi.org/10.1016/j.envsoft.2011.10.010, 2012.
Giardino, J. R. and Houser, C.: Chapter 20 - A Summary and Future Direction of the Principles and Dynamics of the Critical Zone, in: Developments in Earth Surface Processes, edited by: Giardino, J. R. and Houser, C., Elsevier, 19, 619–628, https://doi.org/10.1016/B978-0-444-63369-9.00020-3, 2015.
Griebler, C., Mindl, B., Slezak, D., and Geiger-Kaiser, M.: Distribution
patterns of attached and suspended bacteria in pristine and contaminated
shallow aquifers studied with an in situ sediment exposure microcosm,
Aquat. Microb. Ecol., 28, 117–129, 2002.
Griebler, C. and Lueders, T.: Microbial biodiversity in groundwater
ecosystems, Freshwater Biol., 54, 649–677,
https://doi.org/10.1111/j.1365-2427.2008.02013.x, 2009.
Grösbacher, M., Eckert, D., Cirpka, O. A., and Griebler, C.: Contaminant
concentration versus flow velocity: drivers of biodegradation and microbial
growth in groundwater model systems, Biodegradation, 29, 211–232,
https://doi.org/10.1007/s10532-018-9824-2, 2018.
Gu, A. Z., Pedros, P. B., Kristiansen, A., Onnis-Hayden, A., and Schramm,
A.: Nitrifying community analysis in a single submerged attached-growth
bioreactor for treatment of high-ammonia waste stream, Water Environ. Res.,
79, 2510–2518, https://doi.org/10.2175/106143007x254566, 2007.
Harden, J. W., O'Neill, K. P., Trumbore, S. E., Veldhuis, H., and Stocks, B.
J.: Moss and soil contributions to the annual net carbon flux of a maturing
boreal forest, J. Geophys. Res.-Atmos., 102,
28805–28816, 1997.
Heath, R. C.: Basic groundwater-hydrology, U.S. Geological Survey, U.S.
Geological Survey Water-Supply Paper, 81 pp., 1983.
Heße, F., Harms, H., Attinger, S., and Thullner, M.: Linear exchange
model for the description of mass transfer limited bioavailability at the
pore scale, Environ. Sci. Technol., 44, 2064–2071, 2010.
Heße, F., Prykhodko, V., Schlüter, S., and Attinger, S.: Generating
random fields with a truncated power-law variogram: A comparison of several
numerical methods, Environ. Model. Softw., 55, 32–48,
https://doi.org/10.1016/j.envsoft.2014.01.013, 2014.
Hofmann, R. and Griebler, C.: DOM and bacterial growth efficiency in
oligotrophic groundwater: absence of priming and co-limitation by organic
carbon and phosphorus, Aquat. Microb. Ecol., 81, 55–71,
https://doi.org/10.3354/ame01862, 2018.
Hofmann, R., Uhl, J., Hertkorn, N., and Griebler, C.: Linkage Between
Dissolved Organic Matter Transformation, Bacterial Carbon Production, and
Diversity in a Shallow Oligotrophic Aquifer: Results From Flow-Through
Sediment Microcosm Experiments, Front. Microbiol., 11, 543567,
https://doi.org/10.3389/fmicb.2020.543567, 2020.
Holm, P. E., Nielsen, P. H., Albrechtsen, H. J., and Christensen, T. H.:
Importance of unattached bacteria and bacteria attached to sediment in
determining potentials for degradation of xenobiotic organic contaminants in
an aerobic aquifer, Appl. Environ. Microb., 58, 3020–3026,
https://doi.org/10.1128/aem.58.9.3020-3026.1992, 1992.
Holt, M. S.: Sources of chemical contaminants and routes into the freshwater
environment, Food Chem. Toxicol., 38, 21–27,
https://doi.org/10.1016/S0278-6915(99)00136-2, 2000.
Hunter, K. S., Wang, Y., and Cappellen, P. V.: Kinetic modeling of
microbially-driven redox chemistry of subsurface environments: coupling
transport, microbial metabolism and geochemistry, J. Hydrol., 209,
53–80, 1998.
ISO 17289: 2014-Water quality – Determination of dissolved oxygen – Optical
sensor method, International Organization for Standardization, Geneva,
Switzerland, 14 pp., 2014.
Jing, M., Heße, F., Kumar, R., Wang, W., Fischer, T., Walther, M., Zink, M., Zech, A., Samaniego, L., Kolditz, O., and Attinger, S.: Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS), Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, 2018.
Jung, H. and Meile, C.: Upscaling of microbially driven first-order
reactions in heterogeneous porous media, J. Contam. Hydrol., 224, 103483,
https://doi.org/10.1016/j.jconhyd.2019.04.006, 2019.
Kalvelage, T., Lavik, G., Lam, P., Contreras, S., Arteaga, L., Löscher,
C. R., Oschlies, A., Paulmier, A., Stramma, L., and Kuypers, M. M. M.:
Nitrogen cycling driven by organic matter export in the South Pacific oxygen
minimum zone, Nat. Geosci., 6, 228–234, https://doi.org/10.1038/ngeo1739, 2013.
Khurana, S., Heße, F., Hildebrandt, A., and Thullner, M.: Simulation
Results: Influence of spatial heterogeneity on microbial redox dynamics in
the subsurface, Zenodo [data set], https://doi.org/10.5281/zenodo.4288721, 2020.
Khurana, S., Heße, F., Hildebrandt, A., and Thullner, M.: Spatial
heterogeneity impact on microbial redox dynamics (Version v1.0.0), Zenodo [code], https://doi.org/10.5281/zenodo.4617988,
2021.
Kim, K. H., Yun, S. T., Choi, B. Y., Chae, G. T., Joo, Y., Kim, K., and Kim,
H. S.: Hydrochemical and multivariate statistical interpretations of spatial
controls of nitrate concentrations in a shallow alluvial aquifer around
oxbow lakes (Osong area, central Korea), J. Contam. Hydrol., 107, 114–127,
https://doi.org/10.1016/j.jconhyd.2009.04.007, 2009.
Kim, K. H., Michael, H. A., Field, E. K., and Ullman, W. J.: Hydrologic
Shifts Create Complex Transient Distributions of Particulate Organic Carbon
and Biogeochemical Responses in Beach Aquifers, J. Geophys. Res.-Biogeo., 124, 3024–3038, https://doi.org/10.1029/2019jg005114, 2019.
King, E. L., Tuncay, K., Ortoleva, P., and Meile, C.: Modeling
biogeochemical dynamics in porous media: Practical considerations of pore
scale variability, reaction networks, and microbial population dynamics in a
sandy aquifer, J. Contam. Hydrol., 112, 130–140, https://doi.org/10.1016/j.jconhyd.2009.12.002,
2010.
Kohlhepp, B., Lehmann, R., Seeber, P., Küsel, K., Trumbore, S. E., and Totsche, K. U.: Aquifer configuration and geostructural links control the groundwater quality in thin-bedded carbonate–siliciclastic alternations of the Hainich CZE, central Germany, Hydrol. Earth Syst. Sci., 21, 6091–6116, https://doi.org/10.5194/hess-21-6091-2017, 2017.
Kolditz, O., Bauer, S., Bilke, L., Böttcher, N., Delfs, J. O., Fischer,
T., Görke, U. J., Kalbacher, T., Kosakowski, G., McDermott, C. I., Park,
C. H., Radu, F., Rink, K., Shao, H., Shao, H. B., Sun, F., Sun, Y. Y.,
Singh, A. K., Taron, J., Walther, M., Wang, W., Watanabe, N., Wu, Y., Xie,
M., Xu, W., and Zehner, B.: OpenGeoSys: an open-source initiative for
numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes
in porous media, Environ. Earth Sci., 67, 589–599,
https://doi.org/10.1007/s12665-012-1546-x, 2012.
Küsel, K., Totsche, K. U., Trumbore, S. E., Lehmann, R.,
Steinhäuser, C., and Herrmann, M.: How Deep Can Surface Signals Be
Traced in the Critical Zone?, Merging Biodiversity with Biogeochemistry
Research in a Central German Muschelkalk Landscape, Front. Earth
Sci., 4, 32, https://doi.org/10.3389/feart.2016.00032, 2016.
Lehmann, K., Lehmann, R., and Totsche, K. U.: Event-driven dynamics of the
total mobile inventory in undisturbed soil account for significant fluxes of
particulate organic carbon, Sci. Tot. Environ., 756, 143774,
https://doi.org/10.1016/j.scitotenv.2020.143774, 2021.
Lennon, J. T. and Jones, S. E.: Microbial seed banks: the ecological and
evolutionary implications of dormancy, Nat. Rev. Microbiol., 9, 119–130,
https://doi.org/10.1038/nrmicro2504, 2011.
Liao, Z. and Cirpka, O. A.: Shape-free inference of hyporheic traveltime
distributions from synthetic conservative and “smart” tracer tests in
streams, Water Resour. Res., 47, W07510, https://doi.org/10.1029/2010wr009927, 2011.
Liu, Y., Lawrence, C. R., Winnick, M. J., Hsu, H. T., Maher, K., and Druhan,
J. L.: Modeling Transient Soil Moisture Limitations on Microbial Carbon
Respiration, J. Geophys. Res.-Biogeo., 124,
2222–2247, https://doi.org/10.1029/2018jg004628, 2019.
Lohmann, P., Benk, S., Gleixner, G., Potthast, K., Michalzik, B., Jehmlich,
N., and Bergen, M. V.: Seasonal Patterns of Dominant Microbes Involved in
Central Nutrient Cycles in the Subsurface, Microorganisms, 8, 1694,
https://doi.org/10.3390/microorganisms8111694, 2020.
Manzoni, S. and Porporato, A.: Soil carbon and nitrogen mineralization:
Theory and models across scales, Soil Biol. Biochem., 41,
1355–1379, https://doi.org/10.1016/j.soilbio.2009.02.031, 2009.
McGuire, J. T., Smith, E. W., Long, D. T., Hyndman, D. W., Haack, S. K.,
Klug, M. J., and Velbel, M. A.: Temporal variations in parameters reflecting
terminal-electron-accepting processes in an aquifer contaminated with waste
fuel and chlorinated solvents, Chem. Geol., 169, 471–485,
https://doi.org/10.1016/S0009-2541(00)00223-0, 2000.
McMahon, S. and Parnell, J.: Weighing the deep continental biosphere, FEMS
Microbiol. Ecol., 87, 113–120, https://doi.org/10.1111/1574-6941.12196, 2014.
Meile, C. and Tuncay, K.: Scale dependence of reaction rates in porous
media, Adv. Water Res., 29, 62–71,
https://doi.org/10.1016/j.advwatres.2005.05.007, 2006.
Molins, S., Trebotich, D., Yang, L., Ajo-Franklin, J. B., Ligocki, T. J.,
Shen, C., and Steefel, C. I.: Pore-scale controls on calcite dissolution
rates from flow-through laboratory and numerical experiments, Environ Sci.
Technol., 48, 7453–7460, https://doi.org/10.1021/es5013438, 2014.
Müller, S., Schüler, L., Zech, A., and Heße, F.: GSTools v1.3: A toolbox for geostatistical modelling in Python, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-301, in review, 2021.
Müller, S., Zech, A., and Heße, F.: ogs5py: A Python-API for the OpenGeoSys 5 Scientific Modeling Package, Groundwater, 59, 117–122, https://doi.org/10.1111/gwat.13017, 2021.
Murphy, E. M., Ginn, T. R., Chilakapati, A., Resch, C. T., Phillips, J. L.,
Wietsma, T. W., and Spadoni, C. M.: The influence of physical heterogeneity
on microbial degradation and distribution in porous media, Water Resour.
Res., 33, 1087–1103, https://doi.org/10.1029/96wr03851, 1997.
Opitz, S., Küsel, K., Spott, O., Totsche, K. U., and Herrmann, M.:
Oxygen availability and distance to surface environments determine community
composition and abundance of ammonia-oxidizing prokaroytes in two
superimposed pristine limestone aquifers in the Hainich region, Germany,
FEMS Microb. Ecol., 90, 39–53, https://doi.org/10.1111/1574-6941.12370, 2014.
Painter, S. L.: Multiscale Framework for Modeling Multicomponent Reactive
Transport in Stream Corridors, Water Resour. Res., 54, 7216–7230,
https://doi.org/10.1029/2018wr022831, 2018.
Powell, R. M. and Puls, R. W.: Passive sampling of groundwater monitoring
wells without purging: multilevel well chemistry and tracer disappearance,
J. Contam. Hydrol., 12, 51–77, https://doi.org/10.1016/0169-7722(93)90015-K,
1993.
Prommer, H., Barry, D. A., and Davis, G. B.: A one-dimensional reactive
multi-component transport model for biodegradation of petroleum hydrocarbons
in groundwater, Environ. Model. Softw., 14, 213–223, 1999.
Regnier, P., O'Kane, J. P., Steefel, C. I., and vanderborght, J. P.:
Modeling complex multi-component reactive-transport systems: towards a
simulation environment based on the concept of a Knowledge Base, Appl. Math. Model., 26, 913–927, 2002.
Ronen, D., Magaritz, M., Gvirtzman, H., and Garner, W.: Microscale chemical
heterogeneity in groundwater, J. Hydrol., 92, 173–178,
https://doi.org/10.1016/0022-1694(87)90094-1, 1987.
Sanz-Prat, A., Lu, C., Finkel, M., and Cirpka, O. A.: On the validity of
travel-time based nonlinear bioreactive transport models in steady-state
flow, J. Contam. Hydrol., 175, 26–43, https://doi.org/10.1016/j.jconhyd.2015.02.003, 2015.
Sanz-Prat, A., Lu, C., Finkel, M., and Cirpka, O. A.: Using travel times to
simulate multi-dimensional bioreactive transport in time-periodic flows, J.
Contam. Hydrol., 187, 1–17, https://doi.org/10.1016/j.jconhyd.2016.01.005, 2016.
Schäfer, D., Schäfer, W., and Kinzelbach, W.: Simulation of reactive
processes related to biodegradation in aquifers 2. Model application to a
column study on organic carbon degradation, J.
Contam. Hydrol., 31, 187–209, 1998a.
Schäfer, D., Schäfer, W., and Kinzelbach, W.: Simulation of reactive
processes related to biodegradation in aquifers. 1. Structure of the
three-dimensional reactive transport model, J.
Contam. Hydrol., 31, 167–186, https://doi.org/10.1016/S0169-7722(97)00060-0, 1998b.
Schlesinger, W. H. and Andrews, J. A.: Soil respiration and the global
carbon cycle, Biogeochemistry, 48, 7–20, 2000.
Schwab, V. F., Herrmann, M., Roth, V.-N., Gleixner, G., Lehmann, R., Pohnert, G., Trumbore, S., Küsel, K., and Totsche, K. U.: Functional diversity of microbial communities in pristine aquifers inferred by PLFA- and sequencing-based approaches, Biogeosciences, 14, 2697–2714, https://doi.org/10.5194/bg-14-2697-2017, 2017.
Seitzinger, S., Harrison, J. A., J.K. Böhlke, Bouwman, A. F., Lowrance,
R., Peterson, B., Tobias, C., and Drecht, G. V.: Denitrification across
landscapes and waterscapes: A Synthesis, Ecol. Appl., 16,
2064–2090, 2006.
Smith, R. L., Howes, B. L., and Duff, J. H.: Denitrification in
nitrate-contaminated groundwater: Occurrence in steep vertical geochemical
gradients, Geochim. Cosmochim. Ac., 55, 1815–1825,
https://doi.org/10.1016/0016-7037(91)90026-2, 1991.
Smith, H. J., Zelaya, A. J., De León, K. B., Chakraborty, R., Elias, D.
A., Hazen, T. C., Arkin, A. P., Cunningham, A. B., and Fields, M. W.: Impact
of hydrologic boundaries on microbial planktonic and biofilm communities in
shallow terrestrial subsurface environments, FEMS Microb. Ecol., 94, fiy191,
https://doi.org/10.1093/femsec/fiy191, 2018.
Stolpovsky, K., Martinez-Lavanchy, P., Heipieper, H. J., Van Cappellen, P.,
and Thullner, M.: Incorporating dormancy in dynamic microbial community
models, Ecol. Model., 222, 3092–3102,
https://doi.org/10.1016/j.ecolmodel.2011.07.006, 2011.
Thullner, M., Van Cappellen, P., and Regnier, P.: Modeling the impact of
microbial activity on redox dynamics in porous media, Geochim. Cosmochim. Ac., 69, 5005–5019, https://doi.org/10.1016/j.gca.2005.04.026, 2005.
Thullner, M., Regnier, P., and Van Cappellen, P.: Modeling Microbially
Induced Carbon Degradation in Redox-Stratified Subsurface Environments:
Concepts and Open Questions, Geomicrobiol. J., 24, 139–155,
https://doi.org/10.1080/01490450701459275, 2007.
Thullner, M. and Regnier, P.: Microbial Controls on the Biogeochemical
Dynamics in the Subsurface, Rev. Mineral. Geochem., 85,
265–302, https://doi.org/10.2138/rmg.2019.85.9, 2019.
Tufenkji, N.: Modeling microbial transport in porous media: Traditional
approaches and recent developments, Adv. Water Res., 30,
1455–1469, https://doi.org/10.1016/j.advwatres.2006.05.014, 2007.
Turcke, M. A. and Kueper, B. H.: Geostatistical analysis of the Borden
aquifer hydraulic conductivity field, 178, 223–240, 1996.
van Leeuwen, F. X. R.: Safe Drinking Water: the Toxicologist's Approach,
Food Chem. Toxicol., 38, 51–58, https://doi.org/10.1016/S0278-6915(99)00140-4, 2000.
van Rossum, G. and Drake Jr., F. L.: The Python Language Reference Manual
(version 3.2), edited by: Drake Jr, F. L., Network Theory Ltd, 120 pp.,
2006.
Vogel, L. E., Pot, V., Makowski, D., Garnier, P., and Baveye, P. C.: To what
extent do uncertainty and sensitivity analyses help unravel the influence of
microscale physical and biological drivers in soil carbon dynamics models?,
Ecol. Model., 383, 10–22, https://doi.org/10.1016/j.ecolmodel.2018.05.007, 2018.
Vrede, K., Heldal, M., Norland, S., and Bratbak, G.: Elemental composition
(C, N, P) and cell volume of exponentially growing and nutrient-limited
bacterioplankton, Appl. Environ. Microb., 68, 2965–2971,
https://doi.org/10.1128/AEM.68.6.2965-2971.2002, 2002.
Waldron, P. J., Wu, L., Van Nostrand, J. D., Schadt, C. W., He, Z., Watson,
D. B., Jardine, P. M., Palumbo, A. V., Hazen, T. C., and Zhou, J.:
Functional gene array-based analysis of microbial community structure in
groundwaters with a gradient of contaminant levels, Environ. Sci. Technol., 43, 3529–3534, https://doi.org/10.1021/es803423p, 2009.
Welhan, J. A. and Reed, M. F.: Geostatistical analysis of regional hydraulic
conductivity variations in the Snake River Plain aquifer, eastern Idaho, GSA Bull.,
109, 855–868, 1997.
Wirtz, K. W.: Control of biogeochemical cycling by mobility and metabolic
strategies of microbes in the sediments: an integrated model study, FEMS
Microb. Ecol., 46, 295–306, https://doi.org/10.1016/s0168-6496(03)00196-x, 2003.
Yabusaki, S. B., Wilkins, M. J., Fang, Y., Williams, K. H., Arora, B.,
Bargar, J., Beller, H. R., Bouskill, N. J., Brodie, E. L., Christensen, J.
N., Conrad, M. E., Danczak, R. E., King, E., Soltanian, M., R., Spycher, N.
F., Steefel, C. I., Tokunaga, T. K., Versteeg, R., Waichler, S. T., and
Wainwright, H. M.: Water Table Dynamics and Biogeochemical Cycling in a
Shallow, Variably-Saturated Floodplain, Environ. Sci. Technol., 51, 3307–3317, https://doi.org/10.1021/acs.est.6b04873, 2017a.
Yabusaki, S. B., Wilkins, M. J., Fang, Y., Williams, K. H., Arora, B.,
Bargar, J., Beller, H. R., Bouskill, N. J., Brodie, E. L., Christensen, J.
N., Conrad, M. E., Danczak, R. E., King, E., Soltanian, M. R., Spycher, N.
F., Steefel, C. I., Tokunaga, T. K., Versteeg, R., Waichler, S. R., and
Wainwright, H. M.: Water Table Dynamics and Biogeochemical Cycling in a
Shallow, Variably-Saturated Floodplain, Environ. Sci. Technol., 51, 3307–3317,
https://doi.org/10.1021/acs.est.6b04873, 2017b.
Zhou, Y., Kellermann, C., and Griebler, C.: Spatio-temporal patterns of
microbial communities in a hydrologically dynamic pristine aquifer, FEMS
Microb. Ecol., 81, 230–242, https://doi.org/10.1111/j.1574-6941.2012.01371.x, 2012.
Short summary
In this study, we concluded that the residence times of solutes and the Damköhler number (Da) of the biogeochemical reactions in the domain are governing factors for evaluating the impact of spatial heterogeneity of the domain on chemical (such as carbon and nitrogen compounds) removal. We thus proposed a relationship to scale this impact governed by Da. This relationship may be applied in larger domains, thereby resulting in more accurate modelling outcomes of nutrient removal in groundwater.
In this study, we concluded that the residence times of solutes and the Damköhler number (Da) of...
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