Skip to main content
Advanced Search

Filters: Tags: non-point source pollution (X) > partyWithName: U.S. Geological Survey (X)

4 results (19ms)   

View Results as: JSON ATOM CSV
thumbnail
Samples were collected at or near baseflow conditions. Water pH and specific conductance were measured in the field, with specific conductance also measured in the laboratory and calculated based on the ionic strength of samples based on laboratory analyses. Water samples were collected for laboratory analyses using a peristaltic pump with silicon tubing. Samples were filtered through a reusable plexiglass filter holder with nylon screws using 0.45µm polyethersulfone membranes that were rinsed with approximately 20mL of sample water prior to collection. Splits were also collected unfiltered to determine trace metal concentrations associated with suspended sediments. The filtration apparatus was rinsed with deionized...
thumbnail
This data release includes concentrations of contaminants of emerging concern (CEC), by chemical class, for sites sampled within 25 river basins in the U.S. portion of the Great Lakes basin and associated watershed characteristics. The CEC data include concentrations in surface water and sediment samples that were collected during 2010-2014. During the first 3 years, sample sites near mostly urban areas were chosen. The last two years of study focused on other point sources and few nominal reference sites. Water and sediment samples were analyzed for a diverse suite of CECs including, but not limited to, pharmaceuticals, industrial chemicals, flame retardants, pesticides, fragrances, and plasticizers. Statistical...
thumbnail
The U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, conducted a study to determine the occurrence of micropollutants in: (1) shallow groundwater near large subsurface treatment systems and rapid infiltration basins and (2) shallow groundwater and soil from an agricultural field that land applies domestic wastewater. Water samples were analyzed with enzyme linked immunosorbent assay (ELISA) methods at the U.S. Geological Survey Minnesota Water Science Center for carbamazepine and sulfamethoxazole. These data support the following publication: Krall, A.L., Elliott, S.M., Erickson, M.L., and Adams, B.A., 2018, Detecting sulfamethoxazole and carbamazepine in groundwater: Is ELISA...
thumbnail
Water and sediment samples were collected by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency at or near baseflow conditions from 2015-2017 in the East Fork South Fork Salmon River watershed near Yellow Pine, Valley County, Idaho. Soil, rock and tailings samples were collected in June 2015. Sampling focused on Cinnabar Creek, which flows through the Cinnabar mine site, and Sugar Creek, with additional sites selected to place the data into a larger watershed context. Grab samples were taken of the snowpack in January 2017. The water, soil, sediment, and rock samples were as described and the results are presented as separate water and solid data sets.


    map background search result map search result map Water and Sediment Geochemistry Data from the Vicinity of Yellow Pine, Idaho, 2014-2015 Concentrations and laboratory quality-assurance data for sulfamethoxazole and carbamazepine measured in shallow groundwater near wastewater land-application sites by using ELISA methods Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin Water, Soil, Rock, and Sediment Geochemistry Data from the Vicinity of Yellow Pine, Idaho, 2015-2017 Water and Sediment Geochemistry Data from the Vicinity of Yellow Pine, Idaho, 2014-2015 Water, Soil, Rock, and Sediment Geochemistry Data from the Vicinity of Yellow Pine, Idaho, 2015-2017 Concentrations and laboratory quality-assurance data for sulfamethoxazole and carbamazepine measured in shallow groundwater near wastewater land-application sites by using ELISA methods Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin