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Response variables derived from predicted high-frequency chloride concentrations and specific conductance values

Dates

Publication Date
Start Date
2008-10-01
End Date
2018-09-30

Citation

Fanelli, R.M., Sekellick, A.J., and Moore, J., 2019, Discrete and high-frequency chloride (Cl) and specific conductance (SC) data sets and Cl-SC regression equations used for analysis of 93 USGS water quality monitoring stations in the eastern United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9YN2QST.

Summary

This data set contains 18 metrics used to describe patterns in specific conductance (SC) and chloride concentrations in 93 streams located across the eastern United States. These data were quantified for an analysis described in Moore and others (in review). All metrics were quantified for a water year and a median was taken across all years for which data were available to provide a single value for each site. High-frequency SC and chloride were measured or estimated at sub-daily time steps from 2-minute intervals to hourly intervals (e.g., high-frequency) depending on the site. Moore, J., R. Fanelli, and A. Sekellick. In review. High-frequency data reveal deicing salts drive elevated conductivity and chloride along with pervasive [...]

Contacts

Point of Contact :
Rosemary M Fanelli
Originator :
Rosemary M Fanelli
Metadata Contact :
Rosemary M Fanelli
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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Response_variables_derived_from_estimated_high-frequency_chloride_concentrations_metadata.xml
Original FGDC Metadata

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19.2 KB application/fgdc+xml
Response_variables_derived_from_estimated_high-frequency_chloride_concentrations.csv 10.74 KB text/csv

Purpose

These metrics were quantified to describe patterns in specific conductance (SC) and chloride concentrations in 93 gaged streams located across the Eastern United States. They were used in a regression analysis to determine whether watershed characteristics (land use, percent impervious cover) and climate characteristics (mean annual temperature, annual precipitation, etc.) could be used to predict chloride and SC conditions in streams.

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Communities

  • USGS Maryland, Delaware, and the District of Columbia Water Science Center

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