Steven Corsi is a Research Hydrologist (Chemistry) with the Upper Midwest Water Science Center.
AREAS OF EXPERTISE
- Impact of aircraft and pavement deicers on aquatic ecosystems
- Evaluation of the effectiveness of airport deicer management systems
- Assessment of anthropogenic impact on stream water quality
- Aquatic toxicity evaluation
- Recreational water quality
- Surface water investigations of waterborne pathogens
Education and Certifications
M.S. in Civil and Environmental Engineering, University of Wisconsin, 1989
B.S. in Physics, University of Wisconsin-Eau Claire, 1986
Affiliations and Memberships*
State of Wisconsin Licensed Professional Hydrologist
Society of Toxicology and Chemistry
Science and Products
MMSD Watercourse Corridor Study: Contaminants in Water and Sediment
There are many kinds of chemical, physical, and biological contaminants contained in water and sediment, and new or “emerging” contaminants are continually being discovered. USGS investigations of contaminants in the MMSD Watercourse Corridor Study include studies of PFAS, PAHs, microplastics, and wastewater contamination as well as modeling long-term trends in water quality.
Milwaukee Metropolitan Sewerage District (MMSD) Watercourse Corridor Study
Since 2000, the USGS and MMSD have been partners in the Milwaukee Area Watercourse Corridor Study. The USGS has applied a multi-disciplinary approach to monitor and assess stream water quality within studies of aquatic communities, geomorphology and habitat, water and sediment, and streamflow. Results are provided to MMSD and watershed management agencies for planning and decision-making.
Indiana Harbor Canal at East Chicago, IN
Water-quality “super” gages (also known as “sentry” gages) provide real-time, continuous measurements of the physical and chemical characteristics of stream water at or near selected U.S. Geological Survey (USGS) streamgages in Ohio, Kentucky, and Indiana. A super gage includes streamflow and water-quality instrumentation and representative stream sample collection for laboratory analysis. USGS...
Toxic Substances: Evaluation of Contaminants and their Potential Biological Effects in Great Lakes Tributaries
The objective of this project is to Identify emerging contaminants and assess impacts on Great Lakes fish and wildlife.
Using optical sensors to detect sewage contamination in the Great Lakes
In the Great Lakes, large volumes of sewage never make it to wastewater treatment plants due to illicit discharges and leaking sewer infrastructure, but contamination can be difficult to detect. This study will define the utility and practicality of using optical sensors to identify the sources and timing of sewage contamination in surface water and storm sewers in real-time field settings.
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.
Evaluating the impacts of aircraft deicers in runoff from General Mitchell International Airport, Milwaukee, Wis.
Chemicals used to deice planes at General Mitchell International Airport in Milwaukee may be entering nearby streams in concentrations that may be harmful to aquatic life. This project will investigate the toxicity of decing chemicals, evaluate their impact on receiving streams, and assess changes in water quality in response to the implementation of deicer management at General Mitchell Airport.
Beach health in Wisconsin
Beach water-quality (beach health) data are collected for both coastal and inland Wisconsin beaches. These data are collected and analyzed by multiple agencies throughout Wisconsin including local health departments, universities, state agencies, and federal agencies including the USGS.
Environmental factors and risk estimation for waterborne pathogens at three Great Lakes beaches
The goals of this study were to quantify pathogen concentrations in water at three Lake Michigan beaches, identify environmental factors that influence pathogen occurrence and variability, and to estimate health risks for recreational swimmers.
Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018
This dataset includes per-and polyfluoroalkyl substances (PFAS) and pharmaceuticals monitored at 62 sampling sites in tributaries of the Laurentian Great Lakes. Chemicals were evaluated in a sediment sample (PFAS only) and water concentrations were estimated using polar organic chemical integrative samplers (POCIS). Sediment samples were collected from the 62 sites in June and July 2018, which wer
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 430125087
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 2018 resulti
Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016
This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, S
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 the Middle B
Data and regression models describing biofilms and water quality in streams surrounding Milwaukee Mitchell International Airport, Milwaukee, Wisconsin (2009-2014)
Heterotrophic biofilm growths were monitored in sites upstream and downstream of Milwaukee Mitchell International Airport, in Milwaukee, Wisconsin; samples were collected primarily during and surrounding the 2009-2010 and 2010-2011 deicing seasons, with additional sample collection occurring in 2014. Biofilms were assessed using both field surveys and modern genetic approaches, and responses to e
Microplastics in the water column and sediment in Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan, 2016
This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 l
Microplastics in the surficial benthic sediment from Lake Michigan and Lake Erie, 2013 and 2014
This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are de
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.
Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013
Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variab
Human-associated indicator bacteria and human specific virus loads, sample volumes, and drainage areas for six Menomonee River Watershed sampling locations
Human-associated indicator bacteria and human specific viruses in the Menomonee River watershed in Milwaukee, WI were investigated from April 2009 to March 2011 at six sampling locations within the watershed. We used concentration and water volume data from runoff-event and low-flow periods to compute loads for each sample collected, and subsequently used those loads, and drainage area from each
Filter Total Items: 65
A framework for prioritizing contaminants in retrospective ecological assessments: Application in the Milwaukee Estuary (Milwaukee, WI)
Watersheds are subjected to diverse anthropogenic inputs, exposing aquatic biota to a wide range of chemicals. Detection of multiple, different chemicals can challenge natural resource managers who often have to determine where to allocate potentially limited resources. Here, we describe a weight-of-evidence framework for retrospectively prioritizing aquatic contaminants. To demonstrate framework
Authors
Erin M Maloney, Daniel L. Villeneuve, Brett R Blackewell, Kelsey Vitense, Steven R. Corsi, Matthew A. Pronschinske, Kathleen Jensen, Gerald T. Ankley
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 estimates (in
Authors
Samantha K. Oliver, Steven R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. 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 quotients (TQs
Authors
Luke C. Loken, Steven R. Corsi, David Alvarez, Gerald T. Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura A. 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, acetaminoph
Authors
Matthew A. Pronschinske, Steven R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. Nott
Contaminants of emerging concern in the Great Lakes. GLRI integrated phase II group progress report
No abstract available.
Authors
Stephanie L. Hummel, Gerald T. Ankley, Lyle Burgoon, Steven R. Corsi, Christine M. Custer, Kimani Kimbrough, Heiko L. Schoenfuss, Sarah A. Zack, Elizabeth A. Murphy
Contaminants of emerging concern in the Great Lakes: Science to inform management practices for protecting the health and integrity of wildlife populations from adverse effects: GLRI action plan I, focus area 1, goal 5
Executive Summary: Under Action Plan I (2010-2014) of the Great Lakes Restoration Initiative (GLRI), Federal and Academic partners began an investigation of the presence and distribution of contaminants of emerging concern (CECs) in the Great Lakes and potential impacts on fish and wildlife. The term CECs is applied to a broad range of chemicals that are currently in use but for which we currently
Authors
Daniel L. Villeneuve, Steven R. Corsi, Christine M. Custer, W. Edward Johnson, Stephanie L. Hummel, Heiko L. Schoenfuss, Edward J. Perkins, Sarah A. Zack
Microbial source tracking and evaluation of best management practices for restoring degraded beaches of Lake Michigan
Attempts to mitigate shoreline microbial contamination require a thorough understanding of pollutant sources, which often requires multiple years of data collection (e.g., point/nonpoint) and the interacting factors that influence water quality. Because restoration efforts can alter shoreline or beach morphology, revisiting source inputs is often necessary. Microbial source tracking (MST) using so
Authors
Meredith B. Nevers, Paul M. Buszka, Muruleedhara Byappanahalli, Travis Cole, Steven R. Corsi, P. Ryan Jackson, Julie L. Kinzelman, Cindy H Nakatsu, Mantha S. Phanikumar
Risk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries
With improved analytical techniques, environmental monitoring studies are increasingly able to report the occurrence of tens or hundreds of chemicals per site, making it difficult to identify the most relevant chemicals from a biological standpoint. For this study, organic chemical occurrence was examined, individually and as mixtures, in the context of potential biological effects. Sediment was c
Authors
Austin K. Baldwin, Steven R. Corsi, Owen Michael Stefaniak, Luke C. Loken, Daniel L. Villeneuve, Gerald T. Ankley, Brett R. Blackwell, Peter L. Lenaker, Michelle A. Nott, Marc A. Mills
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, and ofte
Authors
Steven R. Corsi, Laura A. DeCicco, Angela Hansen, Peter L. Lenaker, Brian A. Bergamaschi, Brian A. Pellerin, Debra Dila, Melinda Bootsma, Susan 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 monitor at those
Authors
David Alvarez, Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Austin K. Baldwin
Spatial distribution of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie
The spatial distribution, concentration, particle size, and polymer compositions of microplastics in Lake Michigan and Lake Erie sediment were investigated. Fibers/lines were the most abundant of the five particle types characterized. Microplastic particles were observed in all samples with mean concentrations for particles greater than 0.355 mm of 65.2 p kg–1 in Lake Michigan samples (n = 20) and
Authors
Peter L. Lenaker, Steven R. Corsi, Sherri A. Mason
Primary sources of polycyclic aromatic hydrocarbons to streambed sediment in Great Lakes tributaries using multiple lines of evidence
Polycyclic aromatic hydrocarbons (PAHs) are among the most widespread and potentially toxic contaminants in Great Lakes (USA/Canada) tributaries. The sources of PAHs are numerous and diverse, and identifying the primary source(s) can be difficult. The present study used multiple lines of evidence to determine the likely sources of PAHs to surficial streambed sediments at 71 locations across 26 Gre
Authors
Austin K. Baldwin, Steven R. Corsi, Samantha K. Oliver, Peter L. Lenaker, Michelle A. Nott, Marc A. Mills, Gary A. Norris, Pentti Paatero
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, the user wi
toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
Science and Products
- Science
MMSD Watercourse Corridor Study: Contaminants in Water and Sediment
There are many kinds of chemical, physical, and biological contaminants contained in water and sediment, and new or “emerging” contaminants are continually being discovered. USGS investigations of contaminants in the MMSD Watercourse Corridor Study include studies of PFAS, PAHs, microplastics, and wastewater contamination as well as modeling long-term trends in water quality.Milwaukee Metropolitan Sewerage District (MMSD) Watercourse Corridor Study
Since 2000, the USGS and MMSD have been partners in the Milwaukee Area Watercourse Corridor Study. The USGS has applied a multi-disciplinary approach to monitor and assess stream water quality within studies of aquatic communities, geomorphology and habitat, water and sediment, and streamflow. Results are provided to MMSD and watershed management agencies for planning and decision-making.Indiana Harbor Canal at East Chicago, IN
Water-quality “super” gages (also known as “sentry” gages) provide real-time, continuous measurements of the physical and chemical characteristics of stream water at or near selected U.S. Geological Survey (USGS) streamgages in Ohio, Kentucky, and Indiana. A super gage includes streamflow and water-quality instrumentation and representative stream sample collection for laboratory analysis. USGS...Toxic Substances: Evaluation of Contaminants and their Potential Biological Effects in Great Lakes Tributaries
The objective of this project is to Identify emerging contaminants and assess impacts on Great Lakes fish and wildlife.Using optical sensors to detect sewage contamination in the Great Lakes
In the Great Lakes, large volumes of sewage never make it to wastewater treatment plants due to illicit discharges and leaking sewer infrastructure, but contamination can be difficult to detect. This study will define the utility and practicality of using optical sensors to identify the sources and timing of sewage contamination in surface water and storm sewers in real-time field settings.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.Evaluating the impacts of aircraft deicers in runoff from General Mitchell International Airport, Milwaukee, Wis.
Chemicals used to deice planes at General Mitchell International Airport in Milwaukee may be entering nearby streams in concentrations that may be harmful to aquatic life. This project will investigate the toxicity of decing chemicals, evaluate their impact on receiving streams, and assess changes in water quality in response to the implementation of deicer management at General Mitchell Airport.Beach health in Wisconsin
Beach water-quality (beach health) data are collected for both coastal and inland Wisconsin beaches. These data are collected and analyzed by multiple agencies throughout Wisconsin including local health departments, universities, state agencies, and federal agencies including the USGS.Environmental factors and risk estimation for waterborne pathogens at three Great Lakes beaches
The goals of this study were to quantify pathogen concentrations in water at three Lake Michigan beaches, identify environmental factors that influence pathogen occurrence and variability, and to estimate health risks for recreational swimmers. - Data
Per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compound data from passive and sediment samples from 62 Great Lakes tributary sites collected in 2018
This dataset includes per-and polyfluoroalkyl substances (PFAS) and pharmaceuticals monitored at 62 sampling sites in tributaries of the Laurentian Great Lakes. Chemicals were evaluated in a sediment sample (PFAS only) and water concentrations were estimated using polar organic chemical integrative samplers (POCIS). Sediment samples were collected from the 62 sites in June and July 2018, which werSelect 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 430125087Great 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 2018 resultiPesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016
This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, SOptical 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 the Middle BData and regression models describing biofilms and water quality in streams surrounding Milwaukee Mitchell International Airport, Milwaukee, Wisconsin (2009-2014)
Heterotrophic biofilm growths were monitored in sites upstream and downstream of Milwaukee Mitchell International Airport, in Milwaukee, Wisconsin; samples were collected primarily during and surrounding the 2009-2010 and 2010-2011 deicing seasons, with additional sample collection occurring in 2014. Biofilms were assessed using both field surveys and modern genetic approaches, and responses to eMicroplastics in the water column and sediment in Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan, 2016
This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 lMicroplastics in the surficial benthic sediment from Lake Michigan and Lake Erie, 2013 and 2014
This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are deChemistry 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.Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013
Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variabHuman-associated indicator bacteria and human specific virus loads, sample volumes, and drainage areas for six Menomonee River Watershed sampling locations
Human-associated indicator bacteria and human specific viruses in the Menomonee River watershed in Milwaukee, WI were investigated from April 2009 to March 2011 at six sampling locations within the watershed. We used concentration and water volume data from runoff-event and low-flow periods to compute loads for each sample collected, and subsequently used those loads, and drainage area from each - Multimedia
- Publications
Filter Total Items: 65
A framework for prioritizing contaminants in retrospective ecological assessments: Application in the Milwaukee Estuary (Milwaukee, WI)
Watersheds are subjected to diverse anthropogenic inputs, exposing aquatic biota to a wide range of chemicals. Detection of multiple, different chemicals can challenge natural resource managers who often have to determine where to allocate potentially limited resources. Here, we describe a weight-of-evidence framework for retrospectively prioritizing aquatic contaminants. To demonstrate frameworkAuthorsErin M Maloney, Daniel L. Villeneuve, Brett R Blackewell, Kelsey Vitense, Steven R. Corsi, Matthew A. Pronschinske, Kathleen Jensen, Gerald T. AnkleyPesticide 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 estimates (inAuthorsSamantha K. Oliver, Steven R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. Meyer, Keith LoftinPrioritizing 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 quotients (TQsAuthorsLuke C. Loken, Steven R. Corsi, David Alvarez, Gerald T. Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura A. DeCicco, Michelle A. Nott, Samantha K. Oliver, Daniel L. VilleneuvePrioritizing 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, acetaminophAuthorsMatthew A. Pronschinske, Steven R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. NottContaminants of emerging concern in the Great Lakes. GLRI integrated phase II group progress report
No abstract available.AuthorsStephanie L. Hummel, Gerald T. Ankley, Lyle Burgoon, Steven R. Corsi, Christine M. Custer, Kimani Kimbrough, Heiko L. Schoenfuss, Sarah A. Zack, Elizabeth A. MurphyContaminants of emerging concern in the Great Lakes: Science to inform management practices for protecting the health and integrity of wildlife populations from adverse effects: GLRI action plan I, focus area 1, goal 5
Executive Summary: Under Action Plan I (2010-2014) of the Great Lakes Restoration Initiative (GLRI), Federal and Academic partners began an investigation of the presence and distribution of contaminants of emerging concern (CECs) in the Great Lakes and potential impacts on fish and wildlife. The term CECs is applied to a broad range of chemicals that are currently in use but for which we currentlyAuthorsDaniel L. Villeneuve, Steven R. Corsi, Christine M. Custer, W. Edward Johnson, Stephanie L. Hummel, Heiko L. Schoenfuss, Edward J. Perkins, Sarah A. ZackMicrobial source tracking and evaluation of best management practices for restoring degraded beaches of Lake Michigan
Attempts to mitigate shoreline microbial contamination require a thorough understanding of pollutant sources, which often requires multiple years of data collection (e.g., point/nonpoint) and the interacting factors that influence water quality. Because restoration efforts can alter shoreline or beach morphology, revisiting source inputs is often necessary. Microbial source tracking (MST) using soAuthorsMeredith B. Nevers, Paul M. Buszka, Muruleedhara Byappanahalli, Travis Cole, Steven R. Corsi, P. Ryan Jackson, Julie L. Kinzelman, Cindy H Nakatsu, Mantha S. PhanikumarRisk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries
With improved analytical techniques, environmental monitoring studies are increasingly able to report the occurrence of tens or hundreds of chemicals per site, making it difficult to identify the most relevant chemicals from a biological standpoint. For this study, organic chemical occurrence was examined, individually and as mixtures, in the context of potential biological effects. Sediment was cAuthorsAustin K. Baldwin, Steven R. Corsi, Owen Michael Stefaniak, Luke C. Loken, Daniel L. Villeneuve, Gerald T. Ankley, Brett R. Blackwell, Peter L. Lenaker, Michelle A. Nott, Marc A. MillsOptical 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, and ofteAuthorsSteven R. Corsi, Laura A. DeCicco, Angela Hansen, Peter L. Lenaker, Brian A. Bergamaschi, Brian A. Pellerin, Debra Dila, Melinda Bootsma, Susan Spencer, Mark A. Borchardt, Sandra L. McLellanIdentifying 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 monitor at thoseAuthorsDavid Alvarez, Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Austin K. BaldwinSpatial distribution of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie
The spatial distribution, concentration, particle size, and polymer compositions of microplastics in Lake Michigan and Lake Erie sediment were investigated. Fibers/lines were the most abundant of the five particle types characterized. Microplastic particles were observed in all samples with mean concentrations for particles greater than 0.355 mm of 65.2 p kg–1 in Lake Michigan samples (n = 20) andAuthorsPeter L. Lenaker, Steven R. Corsi, Sherri A. MasonPrimary sources of polycyclic aromatic hydrocarbons to streambed sediment in Great Lakes tributaries using multiple lines of evidence
Polycyclic aromatic hydrocarbons (PAHs) are among the most widespread and potentially toxic contaminants in Great Lakes (USA/Canada) tributaries. The sources of PAHs are numerous and diverse, and identifying the primary source(s) can be difficult. The present study used multiple lines of evidence to determine the likely sources of PAHs to surficial streambed sediments at 71 locations across 26 GreAuthorsAustin K. Baldwin, Steven R. Corsi, Samantha K. Oliver, Peter L. Lenaker, Michelle A. Nott, Marc A. Mills, Gary A. Norris, Pentti Paatero - Software
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, the user witoxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks. - News
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government