Publications
The list below includes official USGS publications and journal articles authored by New England Water Science Center scientists. The USGS Pubs Warehouse link provides access to all USSG publications.
Filter Total Items: 1143
Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts
Kingsbury Pond is a glacial kettle pond in the town of Norfolk, Massachusetts, in the Mill River Basin, which is part of the Upper Charles River Basin in eastern Massachusetts. The pond is hydraulically connected to the surrounding groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wastewater return flows through...
Authors
Paul M. Barlow, Paul J. Friesz, Jeffrey R. Barbaro
Assessment of factors that influence human water demand for Providence, Rhode Island Assessment of factors that influence human water demand for Providence, Rhode Island
To determine the most relevant climatic and economic factors driving water demand for Providence, Rhode Island, and to further the understanding of human interactions with water availability, linear regression models were developed to estimate single-family and multifamily residential, commercial, and industrial water demand for the service area of Providence Water for 2014–21. Monthly...
Authors
Timothy J. Stagnitta, Laura Medalie
A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges
Freshwater is a vital natural resource. New York is a water-rich State; however, even here, the economical use of water resources is needed to ensure there is enough water of adequate quality for human and ecological needs—now and into the future. Nowhere in New York is this more evident than on Long Island where public-water supply is obtained from the sole-source aquifers directly...
Authors
Robert F. Breault, John P. Masterson, Ronald Busciolano, Irene Fisher
Groundwater residence times in glacial aquifers—A new general simulation-model approach compared to conventional inset models Groundwater residence times in glacial aquifers—A new general simulation-model approach compared to conventional inset models
Groundwater is important as a drinking-water source and for maintaining base flow in rivers, streams, and lakes. Groundwater quality can be predicted, in part, by its residence time in the subsurface, but the residence-time distribution cannot be measured directly and must be inferred from models. This report compares residence-time distributions from four areas where groundwater flow...
Authors
J. Jeffrey Starn, Leon J. Kauffman, Daniel T. Feinstein
Centurial persistence of forever chemicals at military fire training sites Centurial persistence of forever chemicals at military fire training sites
Drinking water contamination by per- and polyfluoroalkyl substances (PFAS) is widespread near more than 300 United States (U.S.) military bases that used aqueous film-forming foams (AFFF) for fire training and firefighting activities. Much of the PFAS at these sites consist of precursors that can transform into terminal compounds of known health concern but are omitted from standard...
Authors
Bridger J. Ruyle, Colin P. Thackray, C. R. Butt, Denis R. LeBlanc, Andrea K. Tokranov, C. D. Vecitis, E. M. Sunderland
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
This research presents an evaluation of the accuracy and uncertainty of estimates of river discharge made using satellite observed data sources as input to a modified form of Manning’s equation. Conventional U.S. Geological Survey (USGS) streamflow gaging station data and in-situ measurements of width, depth, height, slope, discharge, and velocity from 30 USGS gage sites were used as...
Authors
David M. Bjerklie, Michael Durand, James M. LeNoir, Robert W. Dudley, Charon Birkett, John W. Jones, Merritt Elizabeth Harlan
A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission
The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new data sets for both gaged and ungaged basins. SWOT discharge products (available approximately 1 year after launch) will provide discharge for all river that reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US...
Authors
Michael Durand, Colin Gleason, Tamlin Pavelsky, Renato Frasson, Michael Turmon, Cedric H. David, Elizabeth Altenau, Nikki Tebaldi, Kevin Larnier, Jerome Monnier, Pierre Olivier Malaterre, Hind Oubanas, George H. Allen, Brian Astifan, Craig Brinkerhoff, Paul Bates, David M. Bjerklie, Stephen Coss, Robert W. Dudley, Luciana Fengolio, Pierre-Andre Garambois, Augusto Getirana, Peirong Lin, Steven A. Margulis, Pascal Matte, J.Toby Minear, Aggrey Muhebwa, Ming Pan, Daniel L. Peters, Ryan Riggs, Safat Sikder, Travis Simmons, Cassie Stuurman, Jay Taneja, Angelica Tarpanelli, Kerstin Schulze, Mohammad Tourian, Jida Wang
Cross-sectional associations between drinking water arsenic and urinary inorganic arsenic in the US: NHANES 2003-2014 Cross-sectional associations between drinking water arsenic and urinary inorganic arsenic in the US: NHANES 2003-2014
Background: Inorganic arsenic is a potent carcinogen and toxicant associated with numerous adverse health outcomes. The contribution of drinking water from private wells and regulated community water systems (CWSs) to total inorganic arsenic exposure is not clear. Objectives: To determine the association between drinking water arsenic estimates and urinary arsenic concentrations in the...
Authors
Maya Spaur, Melissa A. Lombard, Joseph D. Ayotte, Benjamin C. Bostick, Steven N. Chillrud, Ana Navas-Acien, Anne E. Nigra
Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York Preliminary machine learning models of manganese and 1,4-dioxane in groundwater on Long Island, New York
Manganese and 1,4-dioxane in groundwater underlying Long Island, New York, were modeled with machine learning methods to demonstrate the use of these methods for mapping contaminants in groundwater in the Long Island aquifer system. XGBoost, a gradient boosted, ensemble tree method, was applied to data from 910 wells for manganese and 553 wells for 1,4-dioxane. Explanatory variables...
Authors
Leslie A. DeSimone
Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses
Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and...
Authors
Lillian C. Jeznach, Gregory E. Granato, Daniel Sharar-Salgado, Susan C. Jones, Daniel Imig
Stream temperature prediction in a shifting environment: The influence of deep learning architecture Stream temperature prediction in a shifting environment: The influence of deep learning architecture
Stream temperature is a fundamental control on ecosystem health. Recent efforts incorporating process guidance into deep learning models for predicting stream temperature have been shown to outperform existing statistical and physical models. This performance is in part because deep learning architectures can actively learn spatiotemporal relationships that govern how water and energy...
Authors
Simon Nemer Topp, Janet R. Barclay, Jeremy Alejandro Diaz, Alexander Y. Sun, Xiaowei Jia, Daniel Lubin, Jeffrey M Sadler, Alison P. Appling
2022 drought in New England 2022 drought in New England
Authors
Dee-Ann E. Crozier, Jonathan Lenoir, Pamela J. Lombard