List of data releases and publications from the New England Water Science Center released in the first quarter of 2021.
New England WSC Data Releases and Publications in the first quarter of 2021
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Data used to model and map arsenic concentration exceedances in private wells throughout the conterminous United States for human health studies
Streamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019
Datasets for assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
Evaluation and application of the Purge Analyzer Tool (PAT) to determine in-well flow and purge criteria for sampling monitoring wells at the Stringfellow Superfund site in Jurupa Valley, California, in 2017
Assessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017
Public and private tapwater: Comparative analysis of contaminant exposure and potential risk, Cape Cod, Massachusetts, USA
Per- and polyfluoroalkyl substances (PFAS) in New Hampshire soils and biosolids
The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, is undertaking a study on per- and polyfluoroalkyl substances (PFAS) in soils and biosolids. The study will characterize PFAS concentrations in shallow soil and selected biosolids throughout the State of New Hampshire, conduct laboratory experiments to improve understanding of how mobile PFAS ar
Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies
Practical field survey operations for flood insurance rate maps
Re‐purposing groundwater flow models for age assessments: Important characteristics
Assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to exceed us
Source switching maintains dissolved organic matter chemostasis across discharge levels in a large temperate river network
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- Data
Data used to model and map arsenic concentration exceedances in private wells throughout the conterminous United States for human health studies
This data release contains data used to develop models and maps that estimate the probabilities of exceeding various thresholds of arsenic concentrations in private domestic wells throughout the conterminous United States. Three boosted regression tree (BRT) models were developed separately to estimate the probability of private well arsenic concentrations exceeding 1, 5, and 10 micrograms per litStreamflow input datasets and model results using the Weighted Regressions on Time, Discharge, and Season (WRTDS) Models to estimate total organic carbon and other constituent concentrations in eight rivers in Connecticut, water years 1973 to 2019
This data release provides data in support of an assessment of changes in slope of the concentration-discharge relation for total organic carbon in eight major rivers at gaging stations in Connecticut from October 1972 to September 2019 (U.S. Geological Survey water years 1973 to 2019). The rivers include the Connecticut at Thompsonville (01184000), Housatonic at Stevenson (01205500), Quinebaug atDatasets for assessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
Documented in this data release are data used to model and map the probability of arsenic being greater than 10 micrograms per liter in private domestic wells throughout the conterminous United States during drought conditions (Lombard and others, 2020). The model used to predict the probability of arsenic exceeding 10 micrograms per liter in private domestic wells was previously developed and doc - Publications
Evaluation and application of the Purge Analyzer Tool (PAT) to determine in-well flow and purge criteria for sampling monitoring wells at the Stringfellow Superfund site in Jurupa Valley, California, in 2017
The U.S. Geological Survey and U.S. Environmental Protection Agency are developing analytical tools to assess the representativeness of groundwater samples from fractured-rock aquifers. As part of this effort, monitoring wells from the Stringfellow Superfund site in Jurupa Valley in Riverside County, California, approximately 50 miles east of Los Angeles, were field tested to collect information tAssessment of water quality and discharge in the Herring River, Wellfleet, Massachusetts, November 2015 to September 2017
The U.S. Geological Survey, Cape Cod National Seashore of the National Park Service, and Friends of Herring River cooperated from 2015 to 2017 to assess nutrient concentrations and fluxes across the ocean-estuary boundary at a dike on the Herring River in Wellfleet, Massachusetts. The purpose of this assessment was to characterize environmental conditions prior to a future removal of the dike, whiPublic and private tapwater: Comparative analysis of contaminant exposure and potential risk, Cape Cod, Massachusetts, USA
BackgroundHumans are primary drivers of environmental contamination worldwide, including in drinking-water resources. In the United States (US), federal and state agencies regulate and monitor public-supply drinking water while private-supply monitoring is rare; the current lack of directly comparable information on contaminant-mixture exposures and risks between private- and public-supplies underByEcosystems Mission Area, Water Resources Mission Area, Contaminant Biology, Environmental Health Program, Toxic Substances Hydrology, California Water Science Center, Eastern Ecological Science Center, New England Water Science Center, New Jersey Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Water Science Center, National Water Quality LaboratoryPer- and polyfluoroalkyl substances (PFAS) in New Hampshire soils and biosolids
The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services, is undertaking a study on per- and polyfluoroalkyl substances (PFAS) in soils and biosolids. The study will characterize PFAS concentrations in shallow soil and selected biosolids throughout the State of New Hampshire, conduct laboratory experiments to improve understanding of how mobile PFAS ar
Machine learning models of arsenic in private wells throughout the conterminous United States as a tool for exposure assessment in human health studies
Arsenic from geologic sources is widespread in groundwater within the United States (U.S.). In several areas, groundwater arsenic concentrations exceed the U.S. Environmental Protection Agency maximum contaminant level of 10 μg per liter (μg/L). However, this standard applies only to public-supply drinking water and not to private-supply, which is not federally regulated and is rarely monitored. APractical field survey operations for flood insurance rate maps
The U.S. Geological Survey assists the Federal Emergency Management Agency in its mission to identify flood hazards and zones for risk premiums for communities nationwide, by creating flood insurance rate maps through updating hydraulic models that use river geometry data. The data collected consist of elevations of river channels, banks, and structures, such as bridges, dams, and weirs that can aRe‐purposing groundwater flow models for age assessments: Important characteristics
Groundwater flow model construction is often time‐consuming and costly, with development ideally focused on a specific purpose, such as quantifying well capture from water bodies or providing flow fields for simulating advective transport. As environmental challenges evolve, the incentive to re‐purpose existing groundwater flow models may increase. However, few studies have evaluated which charactAssessing the impact of drought on arsenic exposure from private domestic wells in the conterminous United States
This study assesses the potential impact of drought on arsenic exposure from private domestic wells by using a previously developed statistical model that predicts the probability of elevated arsenic concentrations (>10 μg per liter) in water from domestic wells located in the conterminous United States (CONUS). The application of the model to simulate drought conditions used systematically reduceStatistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to exceed us
Source switching maintains dissolved organic matter chemostasis across discharge levels in a large temperate river network
Dissolved organic matter (DOM) helps regulate aquatic ecosystem structure and function. In small streams, DOM concentrations are controlled by transport of terrestrial materials to waterways, and are thus highly variable. As rivers become larger, the River Continuum Concept hypothesizes that internal primary production is an increasingly important DOM source, but direct evidence is limited. Recent