H41G:
The Food–Water Link and Nonpoint Source Flux Impact on Groundwater, Vadose Zone, and Surface Water Quality I


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Session ID#: 62099

Session Description:
Nonpoint source (NPS) fluxes in vadose zone, groundwater, and at their interface to surface water are critical to societal issues including agricultural sustainability, food security, drinking water quality, ecosystem health, and global change.  Better understanding is needed of bio/geo/hydro/chemical and anthropogenic factors affecting diffuse mass fluxes of nutrients, pesticides, emerging contaminants, trace elements, greenhouse gases and other chemical/biological agents. Strategies are emerging to monitor the sources and fate of NPS fluxes and to more effectively control and remediate water quality. We invite contributions assessing processes and mass fluxes in the subsurface and at the subsurface-surface interface using field, laboratory, and modeling approaches (lab, plot, or watershed/(sub)basin scale); presentations on innovative approaches to control or remediate NPS pollution in urban, agricultural, and forest watersheds/groundwater basins; and on studies that address linkages between chemical, biological, hydro(geo)logical, and/or social factors, or studies linking agricultural practices to NPS fluxes to develop sustainable management options.
Primary Convener:  Christopher T Green, USGS, Integrated Modeling Prediction Division, Moffett Field, California, United States
Conveners:  Joachim Rozemeijer, Deltares, Delft, Netherlands, Laura A Schifman, Boston University, Biology, Boston, United States and Thomas Harter, University of California Davis, Land, Air and Water Resources, Davis, United States
Primary Liaison:  Christopher T Green, USGS, Integrated Modeling Prediction Division, Moffett Field, California, United States
Chairs:  Thomas Harter, University of California Davis, Land, Air and Water Resources, Davis, United States and Christopher T Green, USGS, Integrated Modeling Prediction Division, Moffett Field, California, United States
OSPA Liaison:  Christopher T Green, USGS, Integrated Modeling Prediction Division, Moffett Field, California, United States

Cross-Listed:
  • B - Biogeosciences
Index Terms:

1831 Groundwater quality [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1849 Numerical approximations and analysis [HYDROLOGY]
1871 Surface water quality [HYDROLOGY]

Abstracts Submitted to this Session:

Chesapeake Legacies: Implications of Groundwater N Accumulation for Water Quality Improvements in the Chesapeake Bay (Invited) (346835)
Kimberly Van Meter, University of Illinois at Chicago, Earth and Environmental Sciences, Chicago, IL, United States, Nandita B Basu, University of Waterloo, Department of Civil and Environmental Engineering, Waterloo, ON, Canada and Dr. Qian Zhang, Qian Zhang, Environmental Protection Agency Chesapeake Bay Program, Annapolis, United States
Investigating Groundwater Nitrate Attenuation in the Great Barrier Reef Catchments in Australia (403041)
Lucy Reading1, Jim Stanley1 and James William Yaxley2, (1)Queensland University of Technology, Brisbane, QLD, Australia, (2)Queensland University of Technology, Brisbane, Australia
Catchment and in-stream analysis of nitrate transport and removal: integrating fully distributed modeling and high frequency monitoring (378128)
Xiaoqiang Yang, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Department of Ecohydrology and Biogeochemistry, Berlin, Germany, Seifeddine Jomaa, UFZ, Department of Aquatic Ecosystem Analysis and Management, Magdeburg, Germany and Michael Rode, Helmholtz Centre for Environmental Research - UFZ, Department of Aquatic Ecosystem Analysis and Management, Magdeburg, Germany
Nitrogen Balance as an Indicator of Nitrate Losses from Row Crop Agriculture (390833)
Alison J Eagle1, Eileen McLellan1 and Kenneth G Cassman2, (1)Environmental Defense Fund DC, Washington, DC, United States, (2)University of Nebraska, Lincoln, United States
Decadal changes in groundwater recharge and nitrate concentrations in a shallow aquifer under changing agricultural practices: application of repeat sampling and machine learning approaches (Invited) (371221)
Troy E Gilmore, University of Nebraska Lincoln, Conservation and Survey Division - School of Natural Resources, Lincoln, NE, United States, Martin J. Wells, University of Nebraska Lincoln, Department of Biological Systems Engineering, Lincoln, NE, United States, Natalie Nelson, North Carolina State University Raleigh, Department of Biological and Agricultural Engineering, Raleigh, NC, United States, Aaron R. Mittelstet, University of Nebraska - Lincoln, Biological Systems Engineering Department, Lincoln, NE, United States, John Karl Bohlke, USGS, 431 National Center, Reston, VA, United States and Daniel Davidson Snow, University of Nebraska Lincoln, Lincoln, NE, United States
Evaluating our Ability to Predict Future Nitrate Concentrations in Groundwater Based on a Few Key-Measurements (453933)
Camille Léonie Vautier1, Tamara Kolbe2, Jean Marçais3, Tristan Babey4, Ronan Abherve1, Thierry Labasque5, Gilles Pinay6, Luc Aquilina4, Anniet Laverman7 and Jean-Raynald De Dreuzy8, (1)Géosciences Rennes, Rennes Cedex, France, (2)SLU Swedish University of Agricultural Sciences Uppsala, Uppsala, Sweden, (3)Agroparistech, Paris, France, (4)Géosciences Rennes, UMR CNRS 6118 - Université Rennes 1, Rennes Cedex, France, (5)University of Rennes 1, Géosciences Rennes UMR 6118, Rennes, France, (6)IRSTEA Lyon, RiverLy, Villeurbanne Cedex, France, (7)University of Rennes 1, Rennes, France, (8)Univ Rennes 1, Rennes, France
Nonpoint source flux impact studies for wellhead treatment costs (438903)
Rina Schumer, Desert Research Institute, Reno, NV, United States and Todd E. Robins, Robins Borghei LLP, San Francisco, CA, United States

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