Filters: partyWithName: Scott W Ator (X) > partyWithName: Water Resources (X) > Types: OGC WMS Service (X)
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The CBTN_v5 and CBTP_v5 SPARROW models were developed to support inferences about causes of observed changes in nitrogen and phosphorus (respectively) fluxes in Chesapeake Bay tributaries between 1992 and 2012. Model inputs and outputs are included in three files, which are described below. Detailed documentation of the SPARROW modeling technique is available at https://pubs.er.usgs.gov/publication/tm6B3.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
National Water Quality Program,
USGS Science Data Catalog (SDC),
nutrients
This dataset contains generalized lithologic classes (rocktypes) as reassigned from the USGS state geologic map compilation for the conterminous United States (Schweitzer, 2011). Lithology was classified into 12 generalized categories using the fields LITH62 and LITH62MINO available in Schweitzer (2011). Geospatial and tabular data associated with the generalized lithologic classes (rocktypes) are included in the data release. References: Schweitzer, Peter N., 2011, Combined geologic map data for the conterminous US derived from the USGS state geologic map compilation: U.S. Geological Survey, available at https://mrdata.usgs.gov/geology/state/geol_poly.zip.
The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based streamflow...
This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of climate change on in-stream nitrogen (TN) loads in the Chesapeake Bay watershed between 1995 and 2025. Model scenarios were run using data for nitrogen sources and landscape characteristics from 2012, changing only temperature and runoff using climate change predictions to evaluate the change in climate on TN loads. Confidence intervals for model output predictions are also included.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
Hydrology,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
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