Pharmaceutical contaminant concentration and watershed geospatial land-use/land-cover data for small wadeable streams in the Piedmont ecoregion of the USA assessed during the Southeastern Region Stream Quality Assessment during April through June 2014
Dates
Publication Date
2016-05-23
Start Date
2014-04-14
End Date
2014-06-13
Citation
Bradley, P.M., Journey, C.A., Button, D.T., and Nakagaki, Naomi, 2016, Pharmaceutical contaminant concentration and watershed geospatial land-use/land-cover data for small wadeable streams in the Piedmont ecoregion of the USA assessed during the Southeastern Region Stream Quality Assessment during April through June 2014: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F7V40S99.
Summary
Filtered water samples were collected by the USGS National Water Quality Program (NWQP) Southeastern Stream Quality Assessment (SESQA) from 59 perennial, wadeable (less than 10 m width and 1 m depth at base-flow) headwater stream sites in watersheds with varying degrees of urban land use in four states. Dataset includes sample site locations and information, analytical method information, water sample pharmaceutical concentrations and summary statistics, and corresponding watershed land-use-land-cover data and data dictionary.
Summary
Filtered water samples were collected by the USGS National Water Quality Program (NWQP) Southeastern Stream Quality Assessment (SESQA) from 59 perennial, wadeable (less than 10 m width and 1 m depth at base-flow) headwater stream sites in watersheds with varying degrees of urban land use in four states. Dataset includes sample site locations and information, analytical method information, water sample pharmaceutical concentrations and summary statistics, and corresponding watershed land-use-land-cover data and data dictionary.
Data were collected to address the current lack of information on fluvial pharmaceutical contamination in wadeable streams throughout the Piedmont USA ecoregion and assess the relative importance of non-WWTF sources of pharmaceutical contamination in these systems. Identification of potential watershed predictors of in-stream pharmaceutical contamination based on correlations with readily available geographic information system (GIS) land-use land-cover (LULC) metrics was a secondary objective.