2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/21/2018 | 9:15 AM - 9:30 AM | RIVER NETWORK-SCALE PATTERNS OF GROUNDWATER DISCHARGE AND DENITRIFICATION OF LEGACY NITROGEN AT THE STREAMBED INTERFACE | 330 B
RIVER NETWORK-SCALE PATTERNS OF GROUNDWATER DISCHARGE AND DENITRIFICATION OF LEGACY NITROGEN AT THE STREAMBED INTERFACE
More than half of surface water in the United States is derived from groundwater, and widespread contamination in aquifers from decades of watershed nitrogen inputs suggest legacy nitrogen discharging from groundwater may contribute to contemporary nitrogen pollution in surface waters. Legacy nitrogen loads to surface waters are controlled by both regional scale flow paths and fine-scale processes that drive nitrogen transformations, such as groundwater-surface water exchange across steep redox gradients at streambed interfaces. Integrating these disparate scales is a challenge for predicting spatial patterns of legacy nitrogen discharge and the role of the streambed interface in attenuating legacy nitrogen. We developed a regional groundwater model for the Farmington River watershed, Connecticut. To evaluate and refine the model, we used thermal infrared imagery along 36km of stream length paired with vertical temperature profiling (n=25) to measure spatial patterns of groundwater discharge. We also quantified nitrogen loading and denitrification (n=54) at the streambed interface in zones of groundwater discharge. Integrating regional and local estimates of groundwater discharge of legacy N to river networks should improve our ability to predict spatiotemporal patterns of legacy N loading to and transformation within surface waters.
- Groundwater
- Denitrification
- Watershed
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Presenters/Authors
Ashley Helton
(), University of Connecticut, ashley.helton@uconn.edu;
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Janet Barclay
(), USGS New England Water Science Center, Hartford, jbarclay@usgs.gov ;
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Martin Briggs
(), U. S. Geological Survey, Hydrogeophysics Branch, Storrs, Connecticut, USA, mbriggs@usgs.gov;
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J. Jeffrey Starn
(), USGS National Water-Quality Assessment , jjstarn@usgs.gov;
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Ann Hunt
(), University of Minnesota, huntx218@d.umn.edu;
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