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Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014

Dates

Publication Date
Start Date
1999-10-01
End Date
2014-09-30

Citation

Saad, D.A., Argue, D.M., Schwarz, G.E., Anning, D.W., Ator, S.W., Hoos, A.B., Preston, S.D., Robertson, D.M., and Wise, D.R., 2019, Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014: U.S. Geological Survey data release, https://doi.org/10.5066/F7DN436B.

Summary

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 and water-quality load [...]

Contacts

Attached Files

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

flow.zip
“INPUT_DATA_FLOW”
392.83 MB application/zip
flow_est.zip
“OUTPUT_DATA_FLOW_ESTIMATES”
203.83 KB application/zip
load_est.zip
“OUTPUT_DATA_LOAD_ESTIMATES”
763.5 KB application/zip
waterquality.zip
“INPUT_DATA_WATERQUALITY”
7.12 MB application/zip
sitegage.zip
“INPUT_DATA_SITES”
507.69 KB application/zip

Purpose

This USGS data release contains all of the input and output files necessary to reproduce the results from the Fluxmaster and Beale load estimation models described in the associated U.S. Geological Survey Scientific Investigations Report (https://dx.doi.org/10.3133/sir20195069). Data preparation for input to the models is also fully described in the above-mentioned report.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7DN436B

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