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The U.S. Geological Survey (USGS) National Water Quality Network - Rivers and Streams (NWQN) is comprised of 110 surface-water monitoring sites designed to track ambient water-quality conditions across the nation. Although numerous constituents, including pesticides, have been collected at many of these sites since 1991, glyphosate and its metabolite aminomethylphosphonic acid (AMPA) were not routinely measured in NWQN water samples prior to 2014. Because of the widespread use of glyphosate for agricultural and nonagricultural applications, in 2014, these two compounds were added to the NWQN. This dataset includes concentrations of glyphosate and AMPA from water samples collected from 2015 through 2017 at 70 NWQN...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Ecology,
Environmental Health,
Event Mean Concentration,
Federal Highway Administration,
This data release contains input data and programs (scripts) used to estimate monthly water demand for retail customers of Providence Water, located in Providence, Rhode Island. Explanatory data and model outputs are from July 2014 through June 2021. Models of per capita (for single-family residential customers) or per connection (for multi-family residential, commercial, and industrial customers) water use were developed using multiple linear regression. The dependent variables, provided by Providence Water, are the monthly number of connections and gallons of water delivered to single- and multi-family residential, commercial, and industrial connections. Potential independent variables (from online sources) are...
Categories: Data;
Tags: Providence,
Rhode Island,
USGS Science Data Catalog (SDC),
Water Resources,
public supply water use,
Approximately 44.1 million people (about 14 percent of the U.S. population) rely on domestic wells as their source of drinking water. Unlike community water systems, which are regulated by the Safe Drinking Water Act, there is no comprehensive national program for testing domestic well water to ensure that is it safe to drink. There are many activities, e.g., resource extraction, climate change-induced drought, and changes in land use patterns that could potentially affect the quality of the ground water source for domestic wells. The Health Studies Branch (HSB) of the National Center for Environmental Health, Centers for Disease Control and Prevention, created a Clean Water for Health Program to help address domestic...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arsenic,
Conterminous United States,
Domestic wells,
Logistic models,
Water quality,
Dissolved pesticides were measured in weekly water samples from 482 wadeable streams in five regions of the United States during 2013-2017, as part of the U.S. Geological Survey's (USGS) Regional Stream Quality Assessment (RSQA). One study was conducted each year, starting with the Midwest (2013), followed by the Southeast Piedmont (2014), Pacific Northwest (2015), Northeast (2016), and Central California Coast (2017). Within each region, 77-100 streams were sampled over 6-14 weeks, followed by ecological surveys of fish, invertebrate and fish communities. The first study (Midwest) is an agricultural-gradient study, where the majority of sites were located along a gradient from undeveloped to 100% agricultural land...
Approximately 43 million people (about 14 percent of the U.S. population) rely on domestic wells as their source of drinking water. Unlike community water systems, which are regulated by the Safe Drinking Water Act, there is no comprehensive national program to ensure that the water is tested to ensure that is it safe to drink. A study published in 2009 from the National Water-Quality Assessment Program of the U.S. Geological Survey that assessed water-quality conditions from 2,100 domestic wells within 48 states reported that more than one in five (23 percent) of the sampled wells contained one or more contaminants at a concentration greater than a human-health benchmark. In addition, there are many activities,...
The U.S. Geological Survey (USGS), in cooperation with the U.S. Centers for Disease Control and Prevention and the Maine Center for Disease Control and Prevention, assessed the physical and chemical characteristics and the occurrence, distribution, and oxidation state of inorganic arsenic in drinking water from selected domestic well-water supplies in Maine in 2001-2 and 2006-7. The data collected provide support for evaluating arsenic-removal efficiencies of household water-purification systems and provide information to State and local officials that can be used in determining a water-treatment approach for the removal of arsenic from drinking water.
Categories: Data;
Tags: Maine,
USGS Science Data Catalog (SDC),
Water Quality,
arsenic,
arsenic(III),
The U.S. Geological Survey (USGS) National Water Quality Network - Rivers and Streams (NWQN) comprises 117 surface-water monitoring sites designed to track ambient water-quality conditions across the nation. This dataset includes field quality-control results (field blank and field replicate concentrations), along with the water-quality result of each associated surface-water sample, of water samples collected from October 2012 through September 2017 at NWQN sites. This dataset includes 2 tables and 6 files of plots of the data. Tables are in Comma Separated Value, CSV, format and plotfiles are in Portable Document Format, PDF, format. The plotfiles are intended to provide a succinct view of the data. Table1.NWQNFieldBlanksC3.csv...
Categories: Data;
Tags: National Water Quality Network,
USGS Science Data Catalog (SDC),
United States,
Water Quality,
major ions,
This data release consists of information from published tables in Connecticut Water Resources Bulletins (WRBs) transcribed into tabular digital format. Information about wells and test holes in the WRBs used in this data release consists of geographic location, depth to consolidated rock (bedrock depth), and depth of the well or test hole. The WRBs, published between 1966 and 1980 by the U.S. Geological Survey (USGS) in cooperation with either the Connecticut Water Resources Commission or the Connecticut Department of Environmental Protection, provided the foundational datasets for companion interpretive USGS Water-Resources Investigation Reports. NOTE: Version 2.0 adds 196 records but is otherwise identical to...
Categories: Data,
Data Release - Revised;
Tags: Connecticut,
USGS Science Data Catalog (SDC),
bedrock surface,
borehole logging,
lithology
This data release includes all pesticide results from selected batches of water samples analyzed by the U.S Geological Survey National Water Quality Laboratory (NWQL). Samples were analyzed using gas chromatography/mass spectrometry (GCMS) or liquid chromatography/mass spectrometry (LCMS) methods. Eight datasets are included in this data release; 1) all environmental and field quality control (QC) results for 11 pesticide compounds from 70 selected batches of GCMS data from schedules 2001, 2003, 2032, and 2033 (Sandstrom and others, 2001; Zaugg and others, 1995) from May 2001-June 2015, 2) all environmental and field QC results for 10 pesticide compounds from 43 selected batches of LCMS data from schedule 2060 (Furlong...
Categories: Data;
Types: Citation;
Tags: Blind blank,
Blind spike,
Censoring,
False negative,
False positive,
Arsenic concentrations from 20,450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic > 10 µg/L (“high arsenic”). We use only domestic well arsenic data and a national-scale modeling approach. This approach expands our understanding of potential exposure to arsenic in drinking water to a national scale and allows inter-regional comparisons. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. census block groups, the mean probability of arsenic > 10 µg/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States,
Environmental Health,
USGS Science Data Catalog (SDC),
Water Resources,
arsenic
This USGS data release presents tabular data of daily and annual (for the 9-month period March 1 through November 30) estimates of concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for 18 monitored tributaries of Lake Champlain. Annual estimates of concentration and flux are presented as 9-month data because the frequency and type of sample data from winter months are inadequate for making meaningful wintertime estimates. Daily estimates generally cover the period March 1990 through November 2014 and annual estimates 1990 through 2014, although dates vary by constituent and tributary, depending on availability of raw data. The dataset consists of 6...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Lake Champlain,
USGS Science Data Catalog (SDC),
Water Resources,
flow normalization,
long-term trends,
Data for Modeling Interbasin Transfers of Water in Colorado and the Northeast Region, United States.
Data used to predict flow characteristics of transfers of water between hydrologic basins at the hydrologic unit code 8 (HUC8 scale) using tree-based ensemble models—random forest models for Colorado and M5 cubist models for the Northeast Region (parts of Pennsylvania, New Jersey, and New York)—are presented and documented in this data release. Interbasin transfers (IBTs) of waters are important components of water balances of basins and can have substantial impact on national and (or) regional water availability for a variety of human uses, such as public supply and irrigation. This data release contains all input files necessary to reproduce the results of the flow prediction models described in the associated...
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