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Data set used to develop a conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities

Dates

Publication Date
Start Date
2013-01-01
End Date
2013-12-31

Citation

Capel, P.D., 2018, Data set used to develop a conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities: U.S. Geological Survey data release, https://doi.org/10.5066/F75T3HN9.

Summary

This USGS data release contains 2013 streamflow, baseflow, and precipitation data from three hydrologically-diverse streams in the United States used to develop a conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities. The framework combined generalized concepts on the movement of water, the environmental behavior of chemicals and eroded soil, and the designed functions of various agricultural activities. The framework addresses the impacts on water quality of a broad range of agricultural chemicals and sediment across a variety of hydrologic settings. • Chesterville Branch near Crumpton, Maryland, (USGS site ID - 01493112) had substantial baseflow throughout the [...]

Contacts

Point of Contact :
Paul D Capel
Originator :
Paul D Capel
Metadata Contact :
Jessica A Hopple
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Office of Planning and Programming

Attached Files

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

Framework_SIR_streamflow_baseflow_precipitation_data.txt
“Input data in comma-delimited format”
49.05 KB text/plain
Framework_SIR_streamflow_baseflow_precipitation_data.xlsx
“Input data in Excel workbook format”
49.11 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Framework_SIR_streamflow_baseflow_precipitation_data.xml
Original FGDC Metadata

View
18.36 KB application/fgdc+xml

Purpose

The data set of 2013 daily streamflow, baseflow, and precipitation data was compiled as a real example of a conceptual framework that would set realistic expectations for the protection and improvement of water quality that can result from a change in agricultural management practices and enable better decision making for the future. Overall, this framework consolidates diverse hydrologic settings, chemicals, and agricultural activities into a single, broad context to determine realistic expectations for current agricultural activities and enable better decision making for the future.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F75T3HN9

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