Modeling
SCIENCE: MODELING
SPARROW models and interactive mappers to improve understanding of environmental processes
The USGS is at the forefront of devising new techniques and computer software to solve practical problems in the study of water resources. Predictive models are needed to make informed decisions in many emerging areas related to the effects of water resources development. Governments, scientists, and engineers in the private sector regularly use USGS models as an integral part of their work.
The USGS is at the forefront of devising new techniques and computer software to solve practical problems in the study of water resources. Predictive models are needed to make informed decisions in many emerging areas related to the effects of water resources development. New models and methods enhance all USGS water programs. State and local governments as well as scientists and engineers in the private sector regularly use USGS models as an integral part of their work.
MD-DE-DC WSC Microsites: Advanced Technical Capabilities
There's a lot of talent at the Maryland, Delaware, Washington, DC Water Science Center! So. we’ve created a series of websites, thematically named to characterize our work as “Capabilities”, working interdependently with a diverse array of cooperative partners, the scientists, technicians, and support staff work tirelessly to produce the high-quality output for which the USGS is world renown.
USGS models are widely used to predict responses of hydrologic systems to changing stresses, such as increases in precipitation or ground-water pumping rates, as well as to predict the fate and movement of solutes and contaminants in water.
Related Content
Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012
Spatially referenced models of streamflow and nitrogen, phosphorus, and suspended-sediment loads in streams of the northeastern United States
Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams
Simulating stream transport of nutrients in the eastern United States, 2002, using a spatially-referenced regression model and 1:100,000-scale hydrography
Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed: An empirical model
Section 3. The SPARROW Surface Water-Quality Model—Theory, application and user documentation
Digital data used to relate nutrient inputs to water quality in the Chesapeake Bay watershed, version 3.0
Application of spatially referenced regression modeling for the evaluation of total nitrogen loading in the Chesapeake Bay watershed
Related Content
- Publications
Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012
Understanding trends in stream chemistry is critical to watershed management, and often complicated by multiple contaminant sources and landscape conditions changing over varying time scales. We adapted spatially-referenced regression (SPARROW) to infer causes of recent nutrient trends in Chesapeake Bay tributaries by relating observed fluxes during 1992, 2002, and 2012 to contemporary inputs andAuthorsScott Ator, Ana M. Garcia, Gregory E. Schwarz, Joel Blomquist, Andrew SekellickSpatially referenced models of streamflow and nitrogen, phosphorus, and suspended-sediment loads in streams of the northeastern United States
SPAtially Referenced Regression On Watershed attributes (SPARROW) models were developed to quantify and improve the understanding of the sources, fate, and transport of nitrogen, phosphorus, and suspended sediment in the northeastern United States. Excessive nutrients and suspended sediment from upland watersheds and tributary streams have contributed to ecological and economic degradation of nortAuthorsScott W. AtorApplication of SPARROW modeling to understanding contaminant fate and transport from uplands to streams
Understanding spatial variability in contaminant fate and transport is critical to efficient regional water-quality restoration. An approach to capitalize on previously calibrated spatially referenced regression (SPARROW) models to improve the understanding of contaminant fate and transport was developed and applied to the case of nitrogen in the 166,000 km2 Chesapeake Bay watershed. A continuousAuthorsScott Ator, Ana María GarcíaSimulating stream transport of nutrients in the eastern United States, 2002, using a spatially-referenced regression model and 1:100,000-scale hydrography
Existing Spatially Referenced Regression on Watershed attributes (SPARROW) nutrient models for the northeastern and southeastern regions of the United States were recalibrated to achieve a hydrographically consistent model with which to assess nutrient sources and stream transport and investigate specific management questions about the effects of wetlands and atmospheric deposition on nutrient traAuthorsAnne B. Hoos, Richard B. Moore, Ana Maria Garcia, Gregory B. Noe, Silvia E. Terziotti, Craig M. Johnston, Robin L. DennisSources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed: An empirical model
Spatially Referenced Regression on Watershed Attributes (SPARROW) was used to provide empirical estimates of the sources, fate, and transport of total nitrogen (TN) and total phosphorus (TP) in the Chesapeake Bay watershed, and the mean annual TN and TP flux to the bay and in each of 80,579 nontidal tributary stream reaches. Restoration efforts in recent decades have been insufficient to meet estaAuthorsScott W. Ator, John W. Brakebill, Joel D. BlomquistSection 3. The SPARROW Surface Water-Quality Model—Theory, application and user documentation
SPARROW (SPAtially Referenced Regressions On Watershed attributes) is a watershed modeling technique for relating water-quality measurements made at a network of monitoring stations to attributes of the watersheds containing the stations. The core of the model consists of a nonlinear regression equation describing the non-conservative transport of contaminants from point and diffuse sources on lanAuthorsGregory Schwarz, Anne B. Hoos, R. B. Alexander, R. A. SmithDigital data used to relate nutrient inputs to water quality in the Chesapeake Bay watershed, version 3.0
Chesapeake Bay restoration efforts are focused on improving water quality, living resources, and ecological habitats by 2010. One aspect of the water-quality restoration is the refinement of strategies designed to implement nutrient-reduction practices within the Bay watershed. These strategies are being refined and implemented by resource managers of the Chesapeake Bay Program (CBP), a partnershiAuthorsJohn W. Brakebill, Stephen D. PrestonApplication of spatially referenced regression modeling for the evaluation of total nitrogen loading in the Chesapeake Bay watershed
The reduction of stream nutrient loads is an important part of current efforts to improve water quality in the Chesapeake Bay. To design programs that will effectively reduce stream nutrient loading, resource managers need spatially detailed information that describes the location of nutrient sources and the watershed factors that affect delivery of nutrients to the Bay. To address this need, theAuthorsStephen D. Preston, John W. Brakebill - News