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.
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.
Some of Our Work
SPARROW (SPAtially Referenced Regression On Watershed attributes)
SPARROW is a hybrid statistical and mechanistic approach for modeling the sources, fate, and transport of contaminants in watersheds. SPARROW was developed by the USGS in the 1990s and has been used widely in the mid-Atlantic Region, the wider United States, and elsewhere. SPARROW has been used extensively within the MD-DE-DC Water Science Center to support improved understanding of the multiple natural and human factors affecting the occurrence, distribution, and changes over time in nutrients and sediment in surface waters.
Some SPARROW-Related Publications
Spatially Referenced Models of Streamflow and Nitrogen, Phosphorus, and Suspended-Sediment Loads in Streams of the Northeastern United States
By: Scott W. Ator
Toward Explaining Nitrogen and Phosphorus Trends in Chesapeake Bay Tributaries, 1992–2012
By: Scott W. Ator, Ana Maria García, Gregory E. Schwarz, Joel D. Blomquist, and Andrew J. Sekellick
Application of SPARROW Modeling to Understanding Contaminant Fate and Transport from Uplands to Streams
By: Scott W. Ator, Ana Maria García
Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed-An empirical model
By: Scott W. Ator, John W. Brakebill, and Joel D. Blomquist
Simulating Stream Transport of Nutrients in the Eastern United States, 2002, Using a Spatially-Referenced Regression Model and 1:100,000-Scale Hydrography
By Anne B. Hoos, Richard B. Moore, Ana Maria Garcia, Gregory B. Noe, Silvia E. Terziotti, Craig M. Johnston, and Robin L. Dennis
MTC (More to Come)
Below are other science projects associated with this project.
MODFLOW and Related Programs
New information on chemical and physical characteristics of streams and floodplains across the Chesapeake Bay and Delaware River watersheds
The USGS is known the world over for creating modeling and geospatial map applications. Below are several publications that go over these products in detail.
Spatially referenced models of streamflow and nitrogen, phosphorus, and suspended-sediment loads in streams of the northeastern United States
Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992-2012
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
Sources of suspended-sediment flux in streams of the chesapeake bay watershed: A regional application of the sparrow 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
User's guide for MODTOOLS: Computer programs for translating data of MODFLOW and MODPATH into geographic information system files
The USGS is known the world over for developing modeling and geospatial map applications. Many of these applications are linked-to below.
SPARROW Modeling Program
SPARROW is a popular watershed modeling technique, distributed by the USGS, that estimates the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources.
MODFLOW 6: USGS Modular Hydrologic Model
MODFLOW is a popular open-source groundwater flow model distributed by the U.S. Geological Survey.
Precipitation Runoff Modeling System (PRMS)
The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical process based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology.
RSPARROW
RSPARROW, now available on the USGS GitLab repository, provides the first open-source version of the USGS SPARROW water-quality model
MT3D-USGS: Groundwater Solute Transport Simulator for MODFLOW
MT3D-USGS is a USGS updated release of the groundwater solute transport code MT3DMS. MT3D-USGS includes new transport modeling capabilities to accommodate flow terms calculated by MODFLOW packages that were previously unsupported by MT3DMS and to provide greater flexibility in the simulation of solute transport and reactive solute transport.
MODFLOW-2005: USGS Three-Dimensional Finite-Difference Ground-Water Model
MODFLOW 6 is presently the core MODFLOW version distributed by the USGS, but MODFLOW-2005 (the previous core version) is still actively maintained and supported. MODFLOW-2005 simulates steady and nonsteady flow in an irregularly shaped flow system in which aquifer layers can be confined, unconfined, or a combination of confined and unconfined.
SWToolbox Software Information
USGS and the U.S. Environmental Protection Agency (EPA) have combined their SWSTAT and DFLOW software programs into a new tool for the low-flow anlaysis, the SWToolbox. As of May 2022, the SWToolbox has been superseded by the Hydrologic Toolbox.
GWM: Groundwater Management Process for MODFLOW Using Optimization
GWM is a Groundwater Management Process for the U.S. Geological Survey modular three-dimensional groundwater model, MODFLOW.
- Overview
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.
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.
Some of Our Work
SPARROW (SPAtially Referenced Regression On Watershed attributes)
SPARROW is a hybrid statistical and mechanistic approach for modeling the sources, fate, and transport of contaminants in watersheds. SPARROW was developed by the USGS in the 1990s and has been used widely in the mid-Atlantic Region, the wider United States, and elsewhere. SPARROW has been used extensively within the MD-DE-DC Water Science Center to support improved understanding of the multiple natural and human factors affecting the occurrence, distribution, and changes over time in nutrients and sediment in surface waters.
Some SPARROW-Related Publications
Spatially Referenced Models of Streamflow and Nitrogen, Phosphorus, and Suspended-Sediment Loads in Streams of the Northeastern United States
By: Scott W. Ator
Toward Explaining Nitrogen and Phosphorus Trends in Chesapeake Bay Tributaries, 1992–2012
By: Scott W. Ator, Ana Maria García, Gregory E. Schwarz, Joel D. Blomquist, and Andrew J. Sekellick
Application of SPARROW Modeling to Understanding Contaminant Fate and Transport from Uplands to Streams
By: Scott W. Ator, Ana Maria García
Sources, fate, and transport of nitrogen and phosphorus in the Chesapeake Bay watershed-An empirical model
By: Scott W. Ator, John W. Brakebill, and Joel D. Blomquist
Simulating Stream Transport of Nutrients in the Eastern United States, 2002, Using a Spatially-Referenced Regression Model and 1:100,000-Scale Hydrography
By Anne B. Hoos, Richard B. Moore, Ana Maria Garcia, Gregory B. Noe, Silvia E. Terziotti, Craig M. Johnston, and Robin L. Dennis
MTC (More to Come)
- Science
Below are other science projects associated with this project.
MODFLOW and Related Programs
MODFLOW is the USGS's modular hydrologic model. MODFLOW is considered an international standard for simulating and predicting groundwater conditions and groundwater/surface-water interactions. MODFLOW 6 is presently the core MODFLOW version distributed by the USGS. The previous core version, MODFLOW-2005, is actively maintained and supported as well.New information on chemical and physical characteristics of streams and floodplains across the Chesapeake Bay and Delaware River watersheds
Issue: Improving stream health is an important outcome of the Chesapeake Bay Program partnership. Stream conditions are important for recreational fisheries, and mitigating the amount of nutrients, sediment, and contaminants delivered to the Bay. - Publications
The USGS is known the world over for creating modeling and geospatial map applications. Below are several publications that go over these products in detail.
Spatially 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 nortToward 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 andApplication 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 continuousSimulating 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 traSources, 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 estaSources of suspended-sediment flux in streams of the chesapeake bay watershed: A regional application of the sparrow model
We describe the sources and transport of fluvial suspended sediment in nontidal streams of the Chesapeake Bay watershed and vicinity. We applied SPAtially Referenced Regressions on Watershed attributes, which spatially correlates estimated mean annual flux of suspended sediment in nontidal streams with sources of suspended sediment and transport factors. According to our model, urban development gSection 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 lanDigital 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 partnershiApplication 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, theUser's guide for MODTOOLS: Computer programs for translating data of MODFLOW and MODPATH into geographic information system files
MODTOOLS is a set of computer programs for translating data of the ground-water model, MODFLOW, and the particle-tracker, MODPATH, into a Geographic Information System (GIS). MODTOOLS translates data into a GIS software called ARC/INFO. MODFLOW is the recognized name for the U.S. Geological Survey Modular Three-Dimensional Finite-Difference Ground-Water Model. MODTOOLS uses the data arrays input t - Software
The USGS is known the world over for developing modeling and geospatial map applications. Many of these applications are linked-to below.
SPARROW Modeling Program
SPARROW is a popular watershed modeling technique, distributed by the USGS, that estimates the amount of a contaminant transported from inland watersheds to larger water bodies by linking monitoring data with information on watershed characteristics and contaminant sources.
MODFLOW 6: USGS Modular Hydrologic Model
MODFLOW is a popular open-source groundwater flow model distributed by the U.S. Geological Survey.
Precipitation Runoff Modeling System (PRMS)
The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical process based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology.
RSPARROW
RSPARROW, now available on the USGS GitLab repository, provides the first open-source version of the USGS SPARROW water-quality model
MT3D-USGS: Groundwater Solute Transport Simulator for MODFLOW
MT3D-USGS is a USGS updated release of the groundwater solute transport code MT3DMS. MT3D-USGS includes new transport modeling capabilities to accommodate flow terms calculated by MODFLOW packages that were previously unsupported by MT3DMS and to provide greater flexibility in the simulation of solute transport and reactive solute transport.
MODFLOW-2005: USGS Three-Dimensional Finite-Difference Ground-Water Model
MODFLOW 6 is presently the core MODFLOW version distributed by the USGS, but MODFLOW-2005 (the previous core version) is still actively maintained and supported. MODFLOW-2005 simulates steady and nonsteady flow in an irregularly shaped flow system in which aquifer layers can be confined, unconfined, or a combination of confined and unconfined.
SWToolbox Software Information
USGS and the U.S. Environmental Protection Agency (EPA) have combined their SWSTAT and DFLOW software programs into a new tool for the low-flow anlaysis, the SWToolbox. As of May 2022, the SWToolbox has been superseded by the Hydrologic Toolbox.
GWM: Groundwater Management Process for MODFLOW Using Optimization
GWM is a Groundwater Management Process for the U.S. Geological Survey modular three-dimensional groundwater model, MODFLOW.