Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014
Groundwater-quality data were collected from 559 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from January through December 2014. The data were collected from four types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water supply; land-use study networks, which are used to assess land-use effects on shallow groundwater quality; major aquifer study networks, which are used to assess the quality of groundwater used for domestic supply; and enhanced trends networks, which are used to evaluate the time scales during which groundwater quality changes. Groundwater samples were analyzed for a large number of water-quality indicators and constituents, including major ions, nutrients, trace elements, volatile organic compounds, pesticides, radionuclides, and some constituents of special interest (arsenic speciation, chromium [VI] and perchlorate). These groundwater-quality data, along with data from quality-control samples, are tabulated in this report and in an associated data release.
Citation Information
| Publication Year | 2017 |
|---|---|
| Title | Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014 |
| DOI | 10.3133/ds1063 |
| Authors | Terri Arnold, Laura Bexfield, MaryLynn Musgrove, Bruce D. Lindsey, Paul Stackelberg, Jeannie Barlow, Leslie DeSimone, Justin T. Kulongoski, James Kingsbury, Joseph D. Ayotte, Brandon Fleming, Kenneth Belitz |
| Publication Type | Report |
| Publication Subtype | USGS Numbered Series |
| Series Title | Data Series |
| Series Number | 1063 |
| Index ID | ds1063 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | National Water Quality Assessment Program |