Laura DeCicco
Laura DeCicco is a Civil Engineer with the Upper Midwest Water Science Center.
Professional Experience
2019 - present, Upper Midwest Water Science Center (UMid WSC)
2018 - 2019, Integrated Information Dissemination Division (IIDD), Data Science Branch
2014 - 2018, Office of Water Information (OWI)
2010 - 2014, Center for Integrated Data Analytics (CIDA)
Education and Certifications
Professional Engineer, State of Wisconsin, 2011
(Formally Laura Kranendonk)
Post Doc, Oak Ridge National Lab, 2007-2009
Ph.D. Mechanical Engineering - University of Wisconsin - Madison, 2006
M.S. Biomedical Engineering - University of Wisconsin - Madison, 2001
B.S. Mechanical Engineering - University of Wisconsin - Madison, 1999
Science and Products
A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data
Provide synthesis of water quality data to better understand the Nation’s water resources
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Chloride, a key component of road salt, is soluble, highly mobile in water, and, at high concentrations, can be toxic to aquatic vegetation and wildlife. USGS scientists have been analyzing temporal, seasonal, and environmental trends in chloride concentrations across the U.S. to determine the effects that road salt may be having on water quality and aquatic organisms.
Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018
5-day composite river water samples were collected from two sites: Menomonee River (U.S. Geological Survey station number 04087142) and Underwood Creek (U.S. Geological Survey station number 04087088) in Milwaukee, Wisconsin. 5-day composite wastewater (raw sewage) influent samples were also collected from the Jones Island Water Reclamation Facility (U.S. Geological Survey station number...
Great Lakes tributary pharmaceutical water samples from water year 2018
This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July...
Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016
Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including...
Chemistry of waters collected in the Wolf Creek and Buffalo Creek watersheds in West Virginia in 2016
Water chemistry data for samples collected in 2016 in the Wolf Creek and Buffalo Creek watersheds in West Virginia. The dataset includes stream characteristics including flow and location information for sampling sites.
Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nations rivers and streams, 1972-2012
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring...
Filter Total Items: 22
Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes
As part of the Great Lakes Restoration Initiative, chemical monitoring and surveillance efforts have detected approximately 330 chemicals in surface water of Great Lakes tributaries. There were 140 chemicals for which no empirical toxicity data were available. The aim of this study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how...
Authors
Jenna Cavallin, Kendra Bush, Steven Corsi, Laura DeCicco, Kevin Flynn, Alex Kasparek, Monique Hazimi, Erin Maloney, Peter Schuman, Daniel Villeneuve
Derivation and characterization of environmental hazard concentrations for chemical prioritization: A case study in the Great Lakes tributaries
Ongoing anthropogenic activities and analytical advancements yield continuously expanding lists of environmental contaminants. This represents a challenge to environmental managers, who must prioritize chemicals for management actions (e.g., restriction, regulation, remediation) but are often hindered by resource limitations. To help facilitate prioritization efforts, this study presents...
Authors
Erin M. Maloney, Steven Corsi, Matthew A. Pronschinske, Laura DeCicco, Michelle A. Nott, John R. Frisch, Neil W. Fuller, Austin K. Baldwin, Kimani L. Kimbrough, Michael Edwards, Stephanie L. Hummel, Natalia Vinas, Daniel L. Villeneuve
Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data...
Authors
Timothy O. Hodson, Laura DeCicco, Jayaram Athreya Hariharan, Lee Stanish, Scott Black, Jeffery S. Horsburgh
Changes in chemical occurrence, concentration, and bioactivity in the Colorado River before and after replacement of the Moab, Utah wastewater treatment plant
Long-term (2010–19) water-quality monitoring on the Colorado River downstream from Moab Utah indicated the persistent presence of Bioactive Chemicals (BC), such as pesticides and pharmaceuticals. This stream reach near Canyonlands National Park provides critical habitat for federally endangered species. The Moab wastewater treatment plant (WWTP) outfall discharges to the Colorado River...
Authors
William Battaglin, Paul M. Bradley, Rebbecca Weissinger, Brett Blackwell, Jenna E. Cavallin, Daniel L. Villeneuve, Laura DeCicco, Julie Kinsey
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications
Drinking-water quality is a rising concern in the United States (US), emphasizing the need to broadly assess exposures and potential health effects at the point-of-use. Drinking-water exposures to per- and poly-fluoroalkyl substances (PFAS) are a national concern, however, there is limited information on PFAS in residential tapwater at the point-of-use, especially from private-wells. We...
Authors
Kelly Smalling, Kristin Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel K. Jones, Laura DeCicco, Collin Eagles-Smith, Tyler Wagner
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Forest and Rangeland Ecosystem Science Center, New Jersey Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Utah Water Science Center
Modeled predictions of human-associated and fecal-indicator bacteria concentrations and loadings in the Menomonee River, Wisconsin using in-situ optical sensors
Human sewage contamination of waterways is a major issue in the United States and throughout the world. Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads of HIB and FIB and the extent of sewage contamination in the Menomonee...
Authors
Peter L. Lenaker, Steven Corsi, Laura DeCicco, Hayley Olds, Deborah K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes
Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity...
Authors
Samantha K. Oliver, Steven Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald Ankley, Brett Blackwell, Daniel L. Villeneuve, Michelle L. Hladik, Dana W. Kolpin, Luke C. Loken, Laura DeCicco, Michael Frederick Meyer, Keith Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers
To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity...
Authors
Luke C. Loken, Steven Corsi, David A. Alvarez, Gerald Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura DeCicco, Michelle A. Nott, Samantha K. Oliver, Daniel L. Villeneuve
Prioritizing pharmaceutical contaminants in Great Lakes tributaries using risk-based screening techniques
In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine...
Authors
Matthew A. Pronschinske, Steven Corsi, Laura DeCicco, Edward Furlong, Gerald Ankley, Brett Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. Nott
Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales
Relations between spectral absorbance and fluorescence properties of water and human-associated and fecal indicator bacteria were developed for facilitating field sensor applications to estimate wastewater contamination in waterways. Leaking wastewater conveyance infrastructure commonly contaminates receiving waters. Methods to quantify such contamination can be time consuming, expensive...
Authors
Steven Corsi, Laura DeCicco, Angela Hansen, Peter L. Lenaker, Brian Bergamaschi, Brian Pellerin, Deborah K. Dila, Melinda J. Bootsma, Susan K. Spencer, Mark A. Borchardt, Sandra L. McLellan
Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways
Waterborne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS). A risk-based screening approach was used to prioritize chemicals and chemical mixtures, identify sites at greatest risk for biological impacts, and identify potential hazards to...
Authors
David A. Alvarez, Steven Corsi, Laura DeCicco, Daniel L. Villeneuve, Austin K. Baldwin
Evaluating the potential role of bioactive chemicals on the distribution of invasive Asian carp upstream and downstream from river mile 278 in the Illinois waterway
Two non-native carp species have invaded the Illinois Waterway and are a threat to Great Lakes ecosystems. Poor water quality in the upper Illinois Waterway, may be a factor contributing to the stalling of the carp population front near river mile 278. In 2015, the U.S. Geological Survey collected 4 sets of water samples from two sites upstream and 4 sites downstream from river mile 278...
Authors
William Battaglin, James J. Duncker, Paul J. Terrio, Paul M. Bradley, Larry B. Barber, Laura DeCicco
toxEval 4.1
The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast or other user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological...
WRTDSplus: Extensions to the WRTDS method.
For some sites and constituents the three dimensions of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model do not capture all the important aspects of water quality variability. For example, in some locations hysteresis or antecedent flow conditions are important influences on water quality concentration and loads. In other places, daily flow is less predictive than...
EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).
dataRetrieval
The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS), the EPA Water Quality Exchange (WQX) System, and the National Hydrologic Dataset via the...
HASP
The Hydrologic Analysis Package (HASP) can retrieve groundwater level and groundwater quality data, aggregate these data, plot them, and generate basic statistics. One of the benefits of HASP is its ability to aggregate two time-series of data into one record and generate statistics and graphics on hat record. By merging two data sets together, users can view and manipulate a much longer...
wqReport
This is an R-package designed to create water-quality reports for either U.S. Fish and Wildlife Service (FWS) wildlife refuge boundaries, or user-specified Hydrologic Unit Code (HUC) boundaries (8 or 10 digit HUC services are available). Functions are included to take the user's geographical request, and find the sites that measure water-quality parameters, and retrieve that data. A...
ToxMixtures: A package to explore toxicity due to chemical mixtures
The ToxMixtures R-package includes a set of functions to analyze, visualize, and organize measured chemical concentration data as it relates to chemical mixtures. ToxMixtures combines outputs from the R-package toxEval with open access sources on molecular biology to provide information on potential biological effects of chemicals detected in environmental matrices. To use ToxMixtures...
toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
Science and Products
A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data
Provide synthesis of water quality data to better understand the Nation’s water resources
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Chloride, a key component of road salt, is soluble, highly mobile in water, and, at high concentrations, can be toxic to aquatic vegetation and wildlife. USGS scientists have been analyzing temporal, seasonal, and environmental trends in chloride concentrations across the U.S. to determine the effects that road salt may be having on water quality and aquatic organisms.
Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018
5-day composite river water samples were collected from two sites: Menomonee River (U.S. Geological Survey station number 04087142) and Underwood Creek (U.S. Geological Survey station number 04087088) in Milwaukee, Wisconsin. 5-day composite wastewater (raw sewage) influent samples were also collected from the Jones Island Water Reclamation Facility (U.S. Geological Survey station number...
Great Lakes tributary pharmaceutical water samples from water year 2018
This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July...
Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016
Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including...
Chemistry of waters collected in the Wolf Creek and Buffalo Creek watersheds in West Virginia in 2016
Water chemistry data for samples collected in 2016 in the Wolf Creek and Buffalo Creek watersheds in West Virginia. The dataset includes stream characteristics including flow and location information for sampling sites.
Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nations rivers and streams, 1972-2012
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring...
Filter Total Items: 22
Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes
As part of the Great Lakes Restoration Initiative, chemical monitoring and surveillance efforts have detected approximately 330 chemicals in surface water of Great Lakes tributaries. There were 140 chemicals for which no empirical toxicity data were available. The aim of this study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how...
Authors
Jenna Cavallin, Kendra Bush, Steven Corsi, Laura DeCicco, Kevin Flynn, Alex Kasparek, Monique Hazimi, Erin Maloney, Peter Schuman, Daniel Villeneuve
Derivation and characterization of environmental hazard concentrations for chemical prioritization: A case study in the Great Lakes tributaries
Ongoing anthropogenic activities and analytical advancements yield continuously expanding lists of environmental contaminants. This represents a challenge to environmental managers, who must prioritize chemicals for management actions (e.g., restriction, regulation, remediation) but are often hindered by resource limitations. To help facilitate prioritization efforts, this study presents...
Authors
Erin M. Maloney, Steven Corsi, Matthew A. Pronschinske, Laura DeCicco, Michelle A. Nott, John R. Frisch, Neil W. Fuller, Austin K. Baldwin, Kimani L. Kimbrough, Michael Edwards, Stephanie L. Hummel, Natalia Vinas, Daniel L. Villeneuve
Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data...
Authors
Timothy O. Hodson, Laura DeCicco, Jayaram Athreya Hariharan, Lee Stanish, Scott Black, Jeffery S. Horsburgh
Changes in chemical occurrence, concentration, and bioactivity in the Colorado River before and after replacement of the Moab, Utah wastewater treatment plant
Long-term (2010–19) water-quality monitoring on the Colorado River downstream from Moab Utah indicated the persistent presence of Bioactive Chemicals (BC), such as pesticides and pharmaceuticals. This stream reach near Canyonlands National Park provides critical habitat for federally endangered species. The Moab wastewater treatment plant (WWTP) outfall discharges to the Colorado River...
Authors
William Battaglin, Paul M. Bradley, Rebbecca Weissinger, Brett Blackwell, Jenna E. Cavallin, Daniel L. Villeneuve, Laura DeCicco, Julie Kinsey
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications
Drinking-water quality is a rising concern in the United States (US), emphasizing the need to broadly assess exposures and potential health effects at the point-of-use. Drinking-water exposures to per- and poly-fluoroalkyl substances (PFAS) are a national concern, however, there is limited information on PFAS in residential tapwater at the point-of-use, especially from private-wells. We...
Authors
Kelly Smalling, Kristin Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel K. Jones, Laura DeCicco, Collin Eagles-Smith, Tyler Wagner
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Forest and Rangeland Ecosystem Science Center, New Jersey Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Utah Water Science Center
Modeled predictions of human-associated and fecal-indicator bacteria concentrations and loadings in the Menomonee River, Wisconsin using in-situ optical sensors
Human sewage contamination of waterways is a major issue in the United States and throughout the world. Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads of HIB and FIB and the extent of sewage contamination in the Menomonee...
Authors
Peter L. Lenaker, Steven Corsi, Laura DeCicco, Hayley Olds, Deborah K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes
Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity...
Authors
Samantha K. Oliver, Steven Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald Ankley, Brett Blackwell, Daniel L. Villeneuve, Michelle L. Hladik, Dana W. Kolpin, Luke C. Loken, Laura DeCicco, Michael Frederick Meyer, Keith Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers
To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity...
Authors
Luke C. Loken, Steven Corsi, David A. Alvarez, Gerald Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura DeCicco, Michelle A. Nott, Samantha K. Oliver, Daniel L. Villeneuve
Prioritizing pharmaceutical contaminants in Great Lakes tributaries using risk-based screening techniques
In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine...
Authors
Matthew A. Pronschinske, Steven Corsi, Laura DeCicco, Edward Furlong, Gerald Ankley, Brett Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. Nott
Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales
Relations between spectral absorbance and fluorescence properties of water and human-associated and fecal indicator bacteria were developed for facilitating field sensor applications to estimate wastewater contamination in waterways. Leaking wastewater conveyance infrastructure commonly contaminates receiving waters. Methods to quantify such contamination can be time consuming, expensive...
Authors
Steven Corsi, Laura DeCicco, Angela Hansen, Peter L. Lenaker, Brian Bergamaschi, Brian Pellerin, Deborah K. Dila, Melinda J. Bootsma, Susan K. Spencer, Mark A. Borchardt, Sandra L. McLellan
Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways
Waterborne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS). A risk-based screening approach was used to prioritize chemicals and chemical mixtures, identify sites at greatest risk for biological impacts, and identify potential hazards to...
Authors
David A. Alvarez, Steven Corsi, Laura DeCicco, Daniel L. Villeneuve, Austin K. Baldwin
Evaluating the potential role of bioactive chemicals on the distribution of invasive Asian carp upstream and downstream from river mile 278 in the Illinois waterway
Two non-native carp species have invaded the Illinois Waterway and are a threat to Great Lakes ecosystems. Poor water quality in the upper Illinois Waterway, may be a factor contributing to the stalling of the carp population front near river mile 278. In 2015, the U.S. Geological Survey collected 4 sets of water samples from two sites upstream and 4 sites downstream from river mile 278...
Authors
William Battaglin, James J. Duncker, Paul J. Terrio, Paul M. Bradley, Larry B. Barber, Laura DeCicco
toxEval 4.1
The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast or other user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological...
WRTDSplus: Extensions to the WRTDS method.
For some sites and constituents the three dimensions of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model do not capture all the important aspects of water quality variability. For example, in some locations hysteresis or antecedent flow conditions are important influences on water quality concentration and loads. In other places, daily flow is less predictive than...
EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).
dataRetrieval
The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS), the EPA Water Quality Exchange (WQX) System, and the National Hydrologic Dataset via the...
HASP
The Hydrologic Analysis Package (HASP) can retrieve groundwater level and groundwater quality data, aggregate these data, plot them, and generate basic statistics. One of the benefits of HASP is its ability to aggregate two time-series of data into one record and generate statistics and graphics on hat record. By merging two data sets together, users can view and manipulate a much longer...
wqReport
This is an R-package designed to create water-quality reports for either U.S. Fish and Wildlife Service (FWS) wildlife refuge boundaries, or user-specified Hydrologic Unit Code (HUC) boundaries (8 or 10 digit HUC services are available). Functions are included to take the user's geographical request, and find the sites that measure water-quality parameters, and retrieve that data. A...
ToxMixtures: A package to explore toxicity due to chemical mixtures
The ToxMixtures R-package includes a set of functions to analyze, visualize, and organize measured chemical concentration data as it relates to chemical mixtures. ToxMixtures combines outputs from the R-package toxEval with open access sources on molecular biology to provide information on potential biological effects of chemicals detected in environmental matrices. To use ToxMixtures...
toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.