Skip to main content

Potential Explanatory Variables for Groundwater Quality in the Redding-Red Bluff Shallow Aquifer Assessment Study Unit, 2018-2019: California GAMA Priority Basin Project

Dates

Publication Date
Start Date
2007-10-01
End Date
2019-04-11

Citation

Harkness, J.S., 2022, Potential Explanatory Variables for Groundwater Quality in the Redding-Red Bluff Shallow Aquifer Assessment Study Unit, 2018-2019: California GAMA Priority Basin Project: U.S. Geological Survey data release, https://doi.org/10.5066/P9XQIWRU.

Summary

This data release codifies and attributes explanatory variables that could potentially influence groundwater quality at 50 groundwater wells used for domestic water supply and 43 groundwater sites used for public water supply in the U.S. Geological Survey’s Priority Basin Project Redding-Red Bluff shallow aquifer (NSV-SA) study unit in 2018-2019 and Northern Sacramento Valley public-supply (NSV-PA) study unit in 2007, respectively. Water quality from domestic and public-supply groundwater sites was assessed as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) program. The NSV-SA and NSV-PA study units include domestic and public-supply wells within sedimentary aquifers [...]

Contacts

Point of Contact :
Jennifer S Harkness
Originator :
Jennifer S Harkness
Metadata Contact :
Jennifer S Harkness
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
California Water Science Center
USGS Mission Area :
Water Resources

Attached Files

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

Harkness2022_data_dictionary.txt
“Data dictionary”
6.52 KB text/plain
Harkness2022_Table1_Domestic.txt
“Data file Table 1”
6.9 KB text/plain
Harkness2022_Table2_Public.txt
“Data file Table 2”
5.6 KB text/plain

Purpose

This data release contains potential explanatory factors that could influence groundwater quality used for domestic and public supply. Continuous or categorical explanatory factors can be related to water quality data using appropriate statistical analyses to better understand the natural and anthropogenic factors that could potentially impact groundwater quality within a given area.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9XQIWRU

Item Actions

View Item as ...

Save Item as ...

View Item...