Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2019 - September 2022
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The U.S. Geological Survey and a consortium of local governments in North Carolina have partnered together to track water quality and quantity conditions in several of the area’s water-supply reservoirs and streams, known as the Triangle Area Water Supply Monitoring Project (TAWSMP). This data release contains the associated data described in the Open-File Report, "Triangle Area Water Supply Monitoring Project, North Carolina-Overview of Hydrologic and Water-Quality Monitoring Activities and Data Quality Assurance". These datasets were collected during October 2019 - September 2022 (Water Years 2020-2022).The data release includes nine items:[Triangle_2020_22_Figure_1.pdf]: This figure shows site locations and types of water-quality sampling activities at each site. [readme_Triangle_2020_22.pdf]: This document summarizes the sampling phase(s) of the TAWSMP and reports additional details for which the current data release covers. [Triangle_2020_22_Table_1.csv]: This file contains all relevant site information for the water quality and streamflow monitoring network. [Triangle_2020_22_Table_2.csv]: This file provides details on the physical properties or constituents that are monitored and their analytical methods.[Triangle_2020_22_Table_3.csv]: This file contains a summary of the environmental sample results, including numbers of samples and ranges of concentrations, for each site. [Triangle_2020_22_Table_4.csv]: This file provides the analytical results of field blanks, equipment blanks, and sampling-vehicle (ambient) blanks.[Triangle_2020_22_Table_5.csv]: This file shows a summary of selected constituent data observed in blank and environmental samples. [Triangle_2020_22_Table_6.csv]: This file provides environmental sample data, the corresponding replicate sample data, and the relative percent differences.[Triangle_2020_22_Table_7.csv]: This file contains the analytical results for each environmental water-quality sample.
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Publication Details
Subfield
Waste Management and Disposal
Field
Environmental Science
Domain
Physical Sciences
Confidence Score
46%
Source
Scholar Data Model