Filters: Tags: pharmaceutical contamination (X)
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Vegetative buffer strips have been demonstrated to effectively reduce loads of sediment, nutrients, and herbicides in surface runoff, but their effectiveness for reducing veterinary antibiotic loads in runoff has not been well documented. Surface runoff simulation where performed to determine the effectiveness of Vegetative buffer strips vegetation and width on surface runoff loads of the veterinary antibiotics sulfamethazine and lincomycin. The three datasets in this release document 1. physical and chemical soil properties for soil located on experimental vegetated buffer strip plots prior to surface runoff simulations; 2. Rainfall simulator performance data and antecedent soil water content data for all vegetated...
Passive membrane samplers—semipermeable membrane devices and polar organic chemical integrative samplers—were deployed for 22 continuous days at 7 sites along the West Maui, Hawai'i, coastline in February and March 2017 to assess organic contaminants at shallow coral reef ecosystems from diverse upstream inputs.
Categories: Data;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Environmental Health,
Geochemistry,
Honokeana,
The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of unregulated contaminants in source and finished drinking waters throughout Minnesota. Minnesota relies on both groundwater and surface water sources for drinking water, which may be vulnerable to influences such as wastewater discharge and/or agricultural activities. Thus, drinking water facilities apply some form of treatment to source waters prior to distribution. Although drinking water treatment is mostly focused on satisfying regulatory requirements, it may provide secondary benefits for removal of unregulated contaminants. In 2019, 2021, and 2022, paired source and finished drinking...
Categories: Data;
Tags: Environmental Health,
Minnesota,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Au Gres River,
Buffalo River,
Cattaraugus River,
Chippewa River,
East Twin River,
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...
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...
This dataset consists of 262 variables which describe various known and suspected point and non-point sources of contaminants and endocrine disrupting compounds (EDCs) throughout the Chesapeake Bay Watershed. Contaminant data was summarized to the NHDPlus Version 2.1 catchment level (1:100K). Contaminant data summarized span a time range of 2001 to 2016 and include regulated facilities, pesticides, manure and biosolids application data, mercury deposition, animal feeding applications, septic systems, landfills, and land use and land cover. These data are presented in a comma separated file, which includes all variables summarized and the NHDPlus Version 2.1 FEATUREID field (also known as COMID). The FEATUREID field...
Categories: Data,
Data Release - Revised;
Types: Citation;
Tags: Aquatic Biology,
Chesapeake Bay,
Chesapeake Bay Basin,
Delaware,
Discharge Monitoring Report (DMR),
In June and July of 2020, 45 groundwater wells in McHenry County, Illinois, were sampled for water quality (field properties, major ions, nutrients, and trace metals) and 12 wells were sampled for contaminants of emerging concern (pharmaceuticals, pesticides, and wastewater indicator compounds). Quality-assurance and quality-control samples were collected during the June and July 2020 sampling that included equipment blanks, field blanks, and replicates. The results of these samples were used to understand the sources of bias and variability associated with sample collection, processing, storage, and shipping. This data release contains one comma separated values files containing the results of the quality-control...
Categories: Data;
Tags: Illinois,
McHenry County,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of six unregulated contaminants in source and finished drinking-water samples collected from 67 public water supply systems throughout Minnesota. Minnesota relies on groundwater and surface water sources for drinking water. Land use, such as wastewater discharge and agriculture, is a factor that determines groundwater and surface water quality. The public water supply systems were categorized based on whether the source water is from surface water or groundwater. Groundwater sites were further categorized by expected sources of contamination based on land use: wastewater, agriculture,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Minnesota,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
drinking water use,
This data release documents water-quality data obtained as part of an assessment of compounds of emerging concern (CECs) measured in samples collected at potable water and wastewater treatment plants in Dallas and downstream from Dallas in the Trinity River from August 2009 to December 2013 by the U.S. Geological Survey in cooperation with the City of Dallas, Dallas Water Utilities. Targeted CECs (120 total) included human-health pharmaceuticals (prescription and non-prescription), antibiotics, steroidal hormones, stanols, sterols, detergents, personal-use products (flavors and fragrances), pesticides and repellents, industrial wastewater compounds, disinfection compounds, PAHs, flame retardants, and plasticizers....
This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulting in a total of 87 environmental, 95 field replicate, and 15 field blank samples. Of the 158 chemicals analyzed, 23 chemicals were detected in at least one regular sample. Detections per site ranged from 0 to 12 chemicals at concentrations of 1.56 to 30900 nanograms per liter. Sample collection and analysis was performed...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Environmental Health,
Hydrology,
Indiana,
Lake Erie,
This data release includes datasets provided by the Woolnough Laboratory at Central Michigan University. These data were collected as a part of a laboratory exposure experiment, conducted in 2018, examining the effects of agricultural and urban contaminant mixtures on two life stages (larval and juvenile) of the freshwater mussel, plain pocketbook (Lampsilis cardium), using largemouth bass (Micropterus salmoides) as the host fish. Contaminant mixtures were representative of contaminants frequently detected in agricultural and urban settings. Agricultural contaminant mixtures consisted of bromacil, estrone, metolachlor, tri(butoxyethyl) phosphate, 4-nonylphenol, atrazine, N,N-diethyl-meta-toluamide (DEET), and bisphenol...
Categories: Data;
Tags: Aquatic Biology,
USGS Science Data Catalog (SDC),
Water Resources,
biota,
contamination and pollution,
This data set contains the concentration results for water- and sediment-quality and tissue samples, as well as associated quality-assurance data, collected at sampling locations located in the Rocky Mountain National Park, Colorado. Samples were collected between 2012 and 2013. Samples were analyzed for nutrients, hormones, pharmaceutical, wastewater indicator compounds and pesticides, at the U.S. Geological Survey, National Water Quality Laboratory and the Organic Chemistry Research Laboratory, Sacramento, California. Bioassay analyses were performed at the National Fish Health Laboratory in Kearneysville, West Virginia. Data is also archived in the National Water Information System database (https://waterdata.usgs.gov/nwis).
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