Gregory E Schwarz (Former Employee)
Science and Products
Filter Total Items: 68
How hydrologic connectivity regulates water quality in river corridors How hydrologic connectivity regulates water quality in river corridors
Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality —...
Authors
Judson Harvey, Jesus Gomez-Velez, Noah Schmadel, Durelle Scott, Elizabeth W. Boyer, Richard Alexander, Ken Eng, Heather E. Golden, Albert Kettner, Christopher Konrad, Richard Moore, Jim Pizzuto, Gregory E. Schwarz, Chris Soulsby, Jay Choi
Thresholds of lake and reservoir connectivity in river networks control nitrogen removal Thresholds of lake and reservoir connectivity in river networks control nitrogen removal
Lakes, reservoirs, and other ponded waters are ubiquitous features of the aquatic landscape, yet their cumulative role in nitrogen removal in large river basins is often unclear. Here we use predictive modeling, together with comprehensive river water quality, land use, and hydrography datasets, to examine and explain the influences of more than 18,000 ponded waters on nitrogen removal...
Authors
Noah M. Schmadel, Judson Harvey, Richard Alexander, Gregory E. Schwarz, Richard Moore, Ken Eng, Jesus D. Gomez-Velez, Elizabeth W. Boyer, Durelle Scott
A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA
Intense demand for water in the Central Valley of California and related increases in groundwater nitrate concentration threaten the sustainability of the groundwater resource. To assess contamination risk in the region, we developed a hybrid, non-linear, machine learning model within a statistical learning framework to predict nitrate contamination of groundwater to depths of...
Authors
Katherine M. Ransom, Bernard T. Nolan, Jonathan A. Traum, Claudia C. Faunt, Andrew M. Bell, Jo Ann M. Gronberg, David C. Wheeler, Celia Zamora, Bryant C. Jurgens, Gregory E. Schwarz, Kenneth Belitz, Sandra M. Eberts, George Kourakos, Thomas Harter
Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin
Despite progress in the implementation of conservation practices, related improvements in water quality have been challenging to measure in larger river systems. In this paper we quantify these downstream effects by applying the empirical U.S. Geological Survey water-quality model SPARROW to investigate whether spatial differences in conservation intensity were statistically correlated...
Authors
Ana Maria Garcia, Richard B. Alexander, Jeffrey G. Arnold, Lee Norfleet, Michael J. White, Dale M. Robertson, Gregory E. Schwarz
NHDPlus as a geospatial framework for SPARROW modeling NHDPlus as a geospatial framework for SPARROW modeling
Successful water-resource management requires thorough knowledge and understanding of the relations among water-quality contaminate sources and the factors that affect the transport throughout a hydrologic system. Surface-water modeling is a valuable tool that can be applied to help advance and achieve the understanding of these dynamic relations. Spatially Referenced Regressions on...
Authors
John W. Brakebill, Gregory E. Schwarz
An evaluation of methods for estimating decadal stream loads An evaluation of methods for estimating decadal stream loads
Effective management of water resources requires accurate information on the mass, or load of water-quality constituents transported from upstream watersheds to downstream receiving waters. Despite this need, no single method has been shown to consistently provide accurate load estimates among different water-quality constituents, sampling sites, and sampling regimes. We evaluate the...
Authors
Casey J. Lee, Robert M. Hirsch, Gregory E. Schwarz, David J. Holtschlag, Stephen D. Preston, Charles G. Crawford, Aldo V. Vecchia
Science and Products
Filter Total Items: 68
How hydrologic connectivity regulates water quality in river corridors How hydrologic connectivity regulates water quality in river corridors
Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality —...
Authors
Judson Harvey, Jesus Gomez-Velez, Noah Schmadel, Durelle Scott, Elizabeth W. Boyer, Richard Alexander, Ken Eng, Heather E. Golden, Albert Kettner, Christopher Konrad, Richard Moore, Jim Pizzuto, Gregory E. Schwarz, Chris Soulsby, Jay Choi
Thresholds of lake and reservoir connectivity in river networks control nitrogen removal Thresholds of lake and reservoir connectivity in river networks control nitrogen removal
Lakes, reservoirs, and other ponded waters are ubiquitous features of the aquatic landscape, yet their cumulative role in nitrogen removal in large river basins is often unclear. Here we use predictive modeling, together with comprehensive river water quality, land use, and hydrography datasets, to examine and explain the influences of more than 18,000 ponded waters on nitrogen removal...
Authors
Noah M. Schmadel, Judson Harvey, Richard Alexander, Gregory E. Schwarz, Richard Moore, Ken Eng, Jesus D. Gomez-Velez, Elizabeth W. Boyer, Durelle Scott
A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA
Intense demand for water in the Central Valley of California and related increases in groundwater nitrate concentration threaten the sustainability of the groundwater resource. To assess contamination risk in the region, we developed a hybrid, non-linear, machine learning model within a statistical learning framework to predict nitrate contamination of groundwater to depths of...
Authors
Katherine M. Ransom, Bernard T. Nolan, Jonathan A. Traum, Claudia C. Faunt, Andrew M. Bell, Jo Ann M. Gronberg, David C. Wheeler, Celia Zamora, Bryant C. Jurgens, Gregory E. Schwarz, Kenneth Belitz, Sandra M. Eberts, George Kourakos, Thomas Harter
Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin
Despite progress in the implementation of conservation practices, related improvements in water quality have been challenging to measure in larger river systems. In this paper we quantify these downstream effects by applying the empirical U.S. Geological Survey water-quality model SPARROW to investigate whether spatial differences in conservation intensity were statistically correlated...
Authors
Ana Maria Garcia, Richard B. Alexander, Jeffrey G. Arnold, Lee Norfleet, Michael J. White, Dale M. Robertson, Gregory E. Schwarz
NHDPlus as a geospatial framework for SPARROW modeling NHDPlus as a geospatial framework for SPARROW modeling
Successful water-resource management requires thorough knowledge and understanding of the relations among water-quality contaminate sources and the factors that affect the transport throughout a hydrologic system. Surface-water modeling is a valuable tool that can be applied to help advance and achieve the understanding of these dynamic relations. Spatially Referenced Regressions on...
Authors
John W. Brakebill, Gregory E. Schwarz
An evaluation of methods for estimating decadal stream loads An evaluation of methods for estimating decadal stream loads
Effective management of water resources requires accurate information on the mass, or load of water-quality constituents transported from upstream watersheds to downstream receiving waters. Despite this need, no single method has been shown to consistently provide accurate load estimates among different water-quality constituents, sampling sites, and sampling regimes. We evaluate the...
Authors
Casey J. Lee, Robert M. Hirsch, Gregory E. Schwarz, David J. Holtschlag, Stephen D. Preston, Charles G. Crawford, Aldo V. Vecchia