Skip to main content

Analytical results for the environmental and replicate sample sets collected from October 2017 through September 2019 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina

Dates

Publication Date
Start Date
2017-10-01
End Date
2019-09-30

Citation

Cain, J.L., Pfeifle, C.A., and Rasmussen, R.B., 2020, Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2017 - September 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9KQ6KH2.

Summary

The dataset contains the analytical results for environmental and quality-control replicate sample sets and the computed relative percent differences (RPD) greater than 25 percent for the data collected during the surface-water sampling for the Triangle Area Water Supply Monitoring Project. The data are from samples collected during October 2017 through September 2019. Several study sites contained in this dataset were sampled for other USGS projects during the same time frame. Unless the samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects are not included in the dataset.

Contacts

Point of Contact :
Jessica Cain
Originator :
Jessica Cain, C A Pfeifle, Ryan B Rasmussen
Metadata Contact :
Jessica Cain
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
South Atlantic Water Science Center
USGS Mission Area :
Water Resources

Attached Files

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

tri1819_Replicates.csv 12.38 KB text/csv

Purpose

Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply lakes and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. These environmental and quality-control samples were collected and reviewed during October 2017 through September 2019 to evaluate the variability in the data.

Item Actions

View Item as ...

Save Item as ...

View Item...