New England WSC Data Releases and Publications in the first quarter of 2021
List of data releases and publications from the New England Water Science Center released 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
Related Content
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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