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SPARROW model datasets for total nitrogen and total phosphorus in North Carolina, including simulated stream loads

Dates

Publication Date
Start Date
1999
End Date
2014

Citation

Gurley, L.N., Garcia, A.M., Terziotti, S., and Hoos, A.B., 2019, SPARROW model datasets for total nitrogen and total phosphorus in North Carolina, including simulated stream loads: U.S. Geologcial Survey data release, https://doi.org/10.5066/P9UUT74V.

Summary

To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina, excessive sediment [...]

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Attached Files

Click on title to download individual files attached to this item.

Model_catchments_TNTP.zip
“Shapefile of model catchments”
172.3 MB
data1_vTNTP.zip
“Input data for model”
6.92 MB
predict_TN.zip
“Predictions (total nitrogen) from model”
14.65 MB
predict_TP.zip
“Predictions (total phosphorus) from model”
21.49 MB
Methodology_TNTP.pdf
“Methodology”
1.14 MB
Metadata for SPARROW model datasets for total nitrogen and total phosphorus in North Carolina including simulated stream loads.xml
Original FGDC Metadata

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9 KB

Purpose

The SPARROW model was configured for North Carolina to predict total nitrogen and total phosphorus loads in streams and to evaluate the relative importance and contributions of nitrogen and phosphorus sources and other landscape characteristics.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9UUT74V

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