Lura Medalie is a Hydrologist in the New England Water Science Center.
Science and Products
Data for Regression Models to Estimate Water Use in Providence, Rhode Island, 2014-2021
Data release for depth to bedrock from Connecticut Water Resources Bulletins
Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
Dissolved Pesticides in Weekly Water Samples from the NAWQA Regional Stream Quality Assessments (2013-2017)
Field blank and field replicate datasets for inorganic and organic compounds collected for the National Water Quality Network, water years 2013-17
Arsenic datasets and other physical and chemical measurements for selected domestic well-water supplies in Maine: 2001-2 and 2006-7
Glyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017
Estimated county level domestic well population with arsenic greater than 10 micrograms per liter based on probability estimates for the conterminous U.S.
Assessment of factors that influence human water demand for Providence, Rhode Island
Pesticides in US Rivers: Regional differences in use, occurrence, and environmental toxicity, 2013 to 2017
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
Considerations for incorporating quality control into water quality sampling strategies for the U.S. Geological Survey
Quality of data from the U.S. Geological Survey National Water Quality Network for water years 2013–17
Quality of pesticide data for groundwater analyzed for the National Water-Quality Assessment Project, 2013–18
Influence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA
Use of set blanks in reporting pesticide results at the U.S. Geological Survey National Water Quality Laboratory, 2001-15
Estimating the high-arsenic domestic-well population in the conterminous United States
Nutrient and pesticide contamination bias estimated from field blanks collected at surface-water sites in U.S. Geological Survey Water-Quality Networks, 2002–12
Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014
Use of acoustic backscatter to estimate continuous suspended sediment and phosphorus concentrations in the Barton River, northern Vermont, 2010-2013
Science and Products
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Data for Regression Models to Estimate Water Use in Providence, Rhode Island, 2014-2021
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)Data release for depth to bedrock from Connecticut Water Resources Bulletins
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. GeoStatistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
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, conDissolved Pesticides in Weekly Water Samples from the NAWQA Regional Stream Quality Assessments (2013-2017)
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 CaField blank and field replicate datasets for inorganic and organic compounds collected for the National Water Quality Network, water years 2013-17
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 sampArsenic datasets and other physical and chemical measurements for selected domestic well-water supplies in Maine: 2001-2 and 2006-7
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 collectedGlyphosate and aminomethylphosphonic acid (AMPA) in National Water Quality Network Streams and Rivers in the U.S., Water Years 2015-2017
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 routEstimated county level domestic well population with arsenic greater than 10 micrograms per liter based on probability estimates for the conterminous U.S.
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 g/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 - Publications
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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 water use dAuthorsTimothy J. Stagnitta, Laura MedaliePesticides in US Rivers: Regional differences in use, occurrence, and environmental toxicity, 2013 to 2017
Pesticides pose a threat to the environment, but because of the substantial number of compounds, a comprehensive assessment of pesticides and an evaluation of the risk that they pose to human and aquatic life is challenging. In this study, improved analytical methods were used to quantify 221 pesticide concentrations in surface waters over the time period from 2013 to 2017. Samples were collectedAuthorsSarah M. Stackpoole, Megan E. Shoda, Laura Medalie, Wesley W. StoneStatistical 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
AuthorsGregory E. Granato, Alana B. Spaetzel, Laura MedalieConsiderations for incorporating quality control into water quality sampling strategies for the U.S. Geological Survey
This report describes considerations for incorporating routine quality-assessment and quality-control evaluations into U.S. Geological Survey discrete water-sampling programs and projects. U.S. Geological Survey water-data science in 2020 is characterized by robustness, external reproducibility, collaborative large-volume data analysis, and efficient delivery of water-quality data. Confidence in dAuthorsLaura MedalieQuality of data from the U.S. Geological Survey National Water Quality Network for water years 2013–17
Water samples from 122 sites in the U.S. Geological Survey National Water Quality Network were collected in 2013–17 to document ambient water-quality conditions in surface water of the United States and to determine status and trends of loads and concentrations for nutrients, contaminants, and sediment to estuaries and streams. Quality-control (QC) samples collected in the field with environmentalAuthorsLaura Medalie, Laura M. BexfieldQuality of pesticide data for groundwater analyzed for the National Water-Quality Assessment Project, 2013–18
The National Water-Quality Assessment (NAWQA) Project of the U.S. Geological Survey (USGS) submitted nearly 1,900 samples collected from groundwater sites across the United States in 2013–18 for analysis of 225 pesticide compounds (pesticides and pesticide degradates, hereafter referred to as “pesticides”) by USGS National Water Quality Laboratory schedule 2437 (S2437). For the associated NAWQA stAuthorsLaura M. Bexfield, Kenneth Belitz, Mark W. Sandstrom, Delicia Beaty, Laura Medalie, Bruce D. Lindsey, Lisa H. NowellInfluence of land use and region on glyphosate and aminomethylphosphonic acid in streams in the USA
Glyphosate is the most widely used herbicide in the United States for agricultural and non-agricultural weed control. Many studies demonstrate possible effects of glyphosate and its degradate AMPA on human and ecological health. Although glyphosate is thought to have limited mobility in soil, it is found year-round in many rivers and streams throughout the world in both agricultural and developedAuthorsLaura Medalie, Nancy T. Baker, Megan E. Shoda, Wesley W. Stone, Michael T. Meyer, Edward G. Stets, Michaelah C. WilsonUse of set blanks in reporting pesticide results at the U.S. Geological Survey National Water Quality Laboratory, 2001-15
Executive SummaryBackground.—Pesticide results from the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) are used for water-quality assessments by many agencies and organizations. The USGS is committed to providing data of the highest possible quality to the consumers of its data. A cooperator’s inquiries about specific pesticide detections in water revealed potential laboratAuthorsLaura Medalie, Mark W. Sandstrom, Patricia L. Toccalino, William T. Foreman, Rhiannon C. ReVello, Laura M. Bexfield, Melissa L. RiskinEstimating the high-arsenic domestic-well population in the conterminous United States
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”), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. Census blocAuthorsJoseph D. Ayotte, Laura Medalie, Sharon L. Qi, Lorraine C. Backer, Bernard T. NolanNutrient and pesticide contamination bias estimated from field blanks collected at surface-water sites in U.S. Geological Survey Water-Quality Networks, 2002–12
Potential contamination bias was estimated for 8 nutrient analytes and 40 pesticides in stream water collected by the U.S. Geological Survey at 147 stream sites from across the United States, and representing a variety of hydrologic conditions and site types, for water years 2002–12. This study updates previous U.S. Geological Survey evaluations of potential contamination bias for nutrients and peAuthorsLaura Medalie, Jeffrey D. MartinConcentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014
The U.S. Geological Survey, in cooperation with the New England Interstate Water Pollution Control Commission and the Vermont Department of Environmental Conservation, estimated daily and 9-month concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids from 1990 (or first available date) through 2014 for 18 tributaries of Lake Champlain. EstAuthorsLaura MedalieUse of acoustic backscatter to estimate continuous suspended sediment and phosphorus concentrations in the Barton River, northern Vermont, 2010-2013
The U.S. Geological Survey, in cooperation with the Vermont Department of Environmental Conservation, investigated the use of acoustic backscatter to estimate concentrations of suspended sediment and total phosphorus at the Barton River near Coventry, Vermont. The hypothesis was that acoustic backscatter—the reflection of sound waves off objects back to the source from which they came—measured byAuthorsLaura Medalie, Ann T. Chalmers, Richard G. Kiah, Benjamin Copans - News