David A Saad
David Saad is Chief of the Environmental Hydrodynamics Branch, Earth System Processes Division, USGS Water Resources Mission Area.
In the Environmental Hydrodynamics Branch, Dave oversees a diverse group of multi-disciplinary researchers and scientists who study the connections between surface and groundwater hydraulics and chemical and ecological fate and transport. This includes human and natural influences on the quality of surface and groundwater.
Dave has been with the USGS since 1987 where he has been a scientist (hydrologist), project manager, team leader, and supervisor in the Pennsylvania and Upper Midwest Water Science Centers and the Water Mission Area. In Pennsylvania, he worked on projects evaluating coal-mining reclamation methods and the effects on acid-mine drainage. In Wisconsin, Dave was the groundwater specialist and study unit chief of the Western Lake Michigan Drainages study unit of the USGS National Water Quality Assessment (NAWQA) program. He also worked on groundwater modeling projects for the Water Science Center. Dave also developed regional SPARROW (stream-water quality) models of the Midwest for NAWQA and binational SPARROW models of the Great Lakes Basin in collaboration with the International Joint Commission and the National Research Council Canada. In addition to being a branch chief with the Water Mission Area, Dave is currently project manager for “Quantifying Water Reuse and Return Flow Influences on Water Quality and Suitability”. This project is looking at the influences of return flow on water availability and is utilizing SPARROW models to achieve project goals.
Education and Certifications
B.S. in Geology, University of Wisconsin-Madison, 1987
Science and Products
Spatial variability in nutrient transport by HUC8, state, and subbasin based on Mississippi/Atchafalaya River Basin SPARROW models
Refinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008-11
Vulnerability of streams to legacy nitrate sources
Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin
SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin
Reply to discussion: "Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. De
Effects of future urban and biofuel crop expansions on the riverine export of phosphorus to the Laurentian Great Lakes
Use of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008-9
A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models
Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models
A multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models
Hydrology, water quality, and response to changes in phosphorus loading of Minocqua and Kawaguesaga Lakes, Oneida County, Wisconsin, with special emphasis on effects of urbanization
Science and Products
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Filter Total Items: 52
Spatial variability in nutrient transport by HUC8, state, and subbasin based on Mississippi/Atchafalaya River Basin SPARROW models
Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. With geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and monitored loads throughout the MARB, SPAtially Referenced Regression On Watershed attributes (SPARROW) watershed models were constructed specifically for the MAAuthorsDale M. Robertson, David A. Saad, Gregory E. SchwarzRefinement of regression models to estimate real-time concentrations of contaminants in the Menomonee River drainage basin, southeast Wisconsin, 2008-11
In 2008, the U.S. Geological Survey and the Milwaukee Metropolitan Sewerage District initiated a study to develop regression models to estimate real-time concentrations and loads of chloride, suspended solids, phosphorus, and bacteria in streams near Milwaukee, Wisconsin. To collect monitoring data for calibration of models, water-quality sensors and automated samplers were installed at six sitesAuthorsAustin K. Baldwin, Dale M. Robertson, David A. Saad, Christopher MagruderVulnerability of streams to legacy nitrate sources
The influence of hydrogeologic setting on the susceptibility of streams to legacy nitrate was examined at seven study sites having a wide range of base flow index (BFI) values. BFI is the ratio of base flow to total streamflow volume. The portion of annual stream nitrate loads from base flow was strongly correlated with BFI. Furthermore, dissolved oxygen concentrations in streambed pore water wereAuthorsAnthony J. Tesoriero, John H. Duff, David A. Saad, Norman E. Spahr, David M. WolockSimulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin
The shallow groundwater system in the Forest County Potawatomi Comminity, Forest County, Wisconsin, was simulated by expanding and recalibrating a previously calibrated regional model. The existing model was updated using newly collected water-level measurements, inclusion of surface-water features beyond the previous near-field boundary, and refinements to surface-water features. The updated modeAuthorsMichael N. Fienen, David A. Saad, Paul F. JuckemSPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin
Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPsAuthorsDale M. Robertson, David A. SaadReply to discussion: "Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. De
No abstract available.AuthorsDale M. Robertson, David A. SaadEffects of future urban and biofuel crop expansions on the riverine export of phosphorus to the Laurentian Great Lakes
Increased phosphorus (P) loadings threaten the health of the world’s largest freshwater resource, the Laurentian Great Lakes (GL). To understand the linkages between land use and P delivery, we coupled two spatially explicit models, the landscape-scale SPARROW P fate and transport watershed model and the Land Transformation Model (LTM) land use change model, to predict future P export from nonpoinAuthorsMeredith B. LaBeau, Dale M. Robertson, Alex S. Mayer, Bryan C. Pijanowski, David A. SaadUse of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008-9
The Menomonee River drainage basin in southeast Wisconsin is undergoing changes that may affect water quality. Several rehabilitation and flood-management projects are underway, including removal of concrete channels and the construction of floodwater retention basins. The city of Waukesha may begin discharging treated wastewater into Underwood Creek, thus approximately doubling the current base-fAuthorsAustin K. Baldwin, David J. Graczyk, Dale M. Robertson, David A. Saad, Christopher MagruderA multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models
Stream-loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, wereAuthorsDavid A. Saad, Gregory E. Schwarz, Dale M. Robertson, Nathaniel BoothNutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models
Nutrient input to the Laurentian Great Lakes continues to cause problems with eutrophication. To reduce the extent and severity of these problems, target nutrient loads were established and Total Maximum Daily Loads are being developed for many tributaries. Without detailed loading information it is difficult to determine if the targets are being met and how to prioritize rehabilitation efforts. TAuthorsDale M. Robertson, David A. SaadA multi-agency nutrient dataset used to estimate loads, improve monitoring design, and calibrate regional nutrient SPARROW models
Stream‐loading information was compiled from federal, state, and local agencies, and selected universities as part of an effort to develop regional SPAtially Referenced Regressions On Watershed attributes (SPARROW) models to help describe the distribution, sources, and transport of nutrients in streams throughout much of the United States. After screening, 2,739 sites, sampled by 73 agencies, wereAuthorsD. A. Saad, G. E. Schwarz, Dale M. Robertson, N.L. BoothHydrology, water quality, and response to changes in phosphorus loading of Minocqua and Kawaguesaga Lakes, Oneida County, Wisconsin, with special emphasis on effects of urbanization
Minocqua and Kawaguesaga Lakes are 1,318- and 690-acre interconnected lakes in the popular recreation area of north-central Wisconsin. The lakes are the lower end of a complex chain of lakes in Oneida and Vilas Counties, Wis. There is concern that increased stormwater runoff from rapidly growing residential/commercial developments and impervious surfaces from the urbanized areas of the Town of MinAuthorsHerbert S. Garn, Dale M. Robertson, William J. Rose, David A. Saad - Web Tools
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