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Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA

Dates

Publication Date
Start Date
2000-01-01
End Date
2011-12-31

Citation

Ransom, K.M., Nolan, B.T., Bell, A.M., and Gronberg, J.M., 2017, Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA: U.S. Geological Survey data release, https://doi.org/10.5066/F7V40SDN.

Summary

The ascii grids associated with this data release are model inputs representing the Central Valley aquifer, California, and predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells, respectively. The model input and prediction grids are bound by the alluvial bed boundary that defines the Central Valley. The prediction grids were produced with Boosted Regression Tree (BRT) modeling methods within a statistical modeling framework using the statistical modeling software R (R Core Team, https://www.r-project.org/) and linear interpolation within Oasis Montaj software (Geosoft, version 9.0.2). The response variable was a set of nitrate concentrations in wells located [...]

Contacts

Point of Contact :
Bernard T Nolan
Originator :
Katherine M Ransom, Bernard T Nolan
Metadata Contact :
Jennifer B Sharpe
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Water - Office of Planning and Programming

Attached Files

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

Nitrate_Model_Data_Release.zip
“Data Files and Metadata”
11.58 MB
Metadata_for_Nitrate_Model_Data_Release.xml
“Metadata”
Original FGDC Metadata

View
82.77 KB

Purpose

Because private wells are not regulated in California, it is important to determine high risk and high priority areas in order to focus future outreach and educational efforts aimed at private well owners. Public supply wells also are at risk, and the cost of treating contaminated groundwater or relocating such wells is high, especially for low-income or disadvantaged communities.

Map

Spatial Services

ScienceBase WMS

Communities

  • National Water-Quality Assessment Project

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7V40SDN

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