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
Great Lakes tributary pharmaceutical water samples from water year 2018 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 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 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.
toxEval toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
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 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: 25
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications 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 L. Smalling, Kristin M. Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie E. Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel K. Jones, Laura A. DeCicco, Collin A. 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 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 R. Corsi, Laura A. DeCicco, Hayley T. Olds, Debra K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes 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 R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle L. Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. Meyer, Keith A. Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers 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 R. Corsi, David A. 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 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 R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. 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 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 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
ToxMixtures: A package to explore toxicity due to chemical mixtures 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 toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
Science and Products
Great Lakes tributary pharmaceutical water samples from water year 2018 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 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 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.
toxEval toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
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 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: 25
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications 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 L. Smalling, Kristin M. Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie E. Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel K. Jones, Laura A. DeCicco, Collin A. 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 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 R. Corsi, Laura A. DeCicco, Hayley T. Olds, Debra K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes 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 R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle L. Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. Meyer, Keith A. Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers 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 R. Corsi, David A. 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 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 R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. 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 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 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
ToxMixtures: A package to explore toxicity due to chemical mixtures 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 toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.