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This data release contains input data used in model development and TIF raster files used to predict the probability of high arsenic (As) and high manganese (Mn) in groundwater within the glacial aquifer system in the northern United States. Input data include measured As and Mn concentrations at groundwater wells, and associated predictor variable data. The probability of high As and high Mn was predicted using boosted regression tree methods using the gbm package in R version 4.0.0. The response variables for individual models were the occurrence of: (1) As >10 µg/L, and (2) Mn >300 µg/L. Water-quality data were compiled from three sources, as described in Wilson and others (2019): a compilation of data from numerous...
The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Area of Concern,
Area of Concern,
Emerging Contaminants,
Emerging Contaminants,
Great Lakes,
This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe >100 µg/L. Water-quality data were compiled from three sources, as described...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connecticut,
Geochemistry,
Hydrology,
Idaho,
Illinois,
This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable data used in model development and calculation of predictions, and (3) ASCII files used to predict the probability of elevated arsenic across the two study regions. The probability of elevated arsenic was predicted using Boosted Regression Tree (BRT) modeling methods using the gbm package in R Studio version 3.4.2. The response variable was the presence or absence of arsenic >10 µg/L, the U.S. Environmental Protection Agency’s maximum contaminant level for arsenic, in 3,283 wells located throughout both study regions (1,363...
A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United States using pH measurements in samples from 18,258 wells and predictor variables that represent aspects of the hydrogeologic setting. Model results indicate that the carbonate content of soils and aquifer materials strongly controls pH and when coupled with long flow paths, results in the most alkaline conditions. Conversely, in areas where glacial sediments are thin and carbonate-poor, pH conditions remain acidic. At depths typical of drinking-water supplies, predicted pH > 7.5 – which is associated with arsenic mobilization – occurs more frequently...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Boosted regression trees,
Calcite saturation index,
Connecticut,
Geochemistry,
Geochemistry,
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...
Several quality-control measures were implemented both in the field and at the laboratory to evaluate the integrity of the data being generated. Sample replicates and blank samples were collected in the field. Surrogate standards, isotope dilution standards, matrix spikes, reagent blank-water spikes, and reagent blank-sediment samples were prepared in the laboratory. Quality control measures used in 2013 were similar to those used in previous years of the study. Detailed descriptions and how the quality-assurance data are used can be found in Lee and others (2012) for data collected in 2010-11 and in Lee and others (2015) for data collected in 2012 for the same study. References: Lee, K.E., Langer,...
Categories: Data
The U.S. Geological Survey, National Park Service, St. Cloud State University, and the University of St. Thomas conducted a cooperative study to investigate the occurrence of chemicals of emerging concern (CECs) and potential effects to aquatic biota in select tributaries of the St. Croix River in Minnesota and Wisconsin. In 2011, treated wastewater effluent samples were collected from 22 sites in the St. Croix River Basin to determine total estrogenic activity. In 2012, wastewater effluent was collected at five select locations based on total estrogenicity and analyzed for CECs. In addition, surface water, bottom sediment, resident fish, and resident crayfish were collected upstream and downstream from effluent...
Categories: Data;
Types: Citation;
Tags: St. Croix National Scenic Riverway,
USGS Science Data Catalog (SDC),
Water Quality,
emerging contaminants,
fish effects,
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 directory provides analytical results for wastewater compounds, steroid hormones, sterols, and bisphenol A, and pharmaceuticals in water and wastewater compounds, steroid hormones, sterols, and bisphenol A, pharmaceuticals, and antidepressants in bottom-sediment samples collected during 2013. In addition, a comparison of data obtained for compounds determined by pharmaceutical methods 8244 and 2440 is provided. Data provided are as reported by the laboratory, unless otherwise noted, and listed by sample. "2013Data_by_Result.xlsx" provides all environmental data included in "2013WaterData" and "2013SedimentData", listed by compound. Discussion of number of detections does not include results that were 'v' or...
Categories: Data
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 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,
Collection Methods Methods used to collect environmental samples in 2013 followed methods used in previous years of the study and are provided in detail in Lee and others (2012) for data collected in 2010/11 and in Lee and others (2015) for data collected in 2012 for the same study. Briefly, water samples were collected from streams and lakes using a modified depth-integrated sampling method with a weighted bottle sampler fitted with a 1-liter, glass bottle. Bottom-sediment samples were collected to include the most recently deposited bottom-sediment deposition (top 10 centimeters) using a stainless steel Ekman dredge. All samples were collected with inert materials and sampling personnel avoided the use of personal-care...
We conducted a scoping review to assess the current state of the science and knowledge gaps of post-wildfire water quality. A scoping review is a rapid, systematic approach that is more superficial compared to traditional reviews, and can be considered a preliminary study that informs future in-depth reviews, meta-analyses, or modelling efforts (Robinne et al., 2020). We developed a driver, factor, stressor, effect (DFSE) conceptual framework to evaluate information gathered from the review. Drivers are categorical variables representing a natural or anthropogenic process or characteristic driving post-fire effects. Factors are measurable variables or properties of a driver used to explain changes in water quality,...
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