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
Reconnaissance of mixed organic and inorganic chemicals in private and public supply tapwaters at selected residential and workplace sites in the United States
Safe drinking water at the point-of-use (tapwater, TW) is a United States public health priority. Multiple lines of evidence were used to evaluate potential human health concerns of 482 organics and 19 inorganics in TW from 13 (7 public supply, 6 private well self-supply) home and 12 (public supply) workplace locations in 11 states. Only uranium (61.9 μg L–1, private well) exceeded a National Prim
An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters
Water-quality trends in the nation’s rivers and streams, 1972–2012—Data preparation, statistical methods, and trend results
Water quality data for national-scale aquatic research: The Water Quality Portal
Organic contaminants in Great Lakes tributaries: Prevalence and potential aquatic toxicity
A bootstrap method for estimating uncertainty of water quality trends
River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons
User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract information about ch
Science and Products
Reconnaissance of mixed organic and inorganic chemicals in private and public supply tapwaters at selected residential and workplace sites in the United States
Safe drinking water at the point-of-use (tapwater, TW) is a United States public health priority. Multiple lines of evidence were used to evaluate potential human health concerns of 482 organics and 19 inorganics in TW from 13 (7 public supply, 6 private well self-supply) home and 12 (public supply) workplace locations in 11 states. Only uranium (61.9 μg L–1, private well) exceeded a National Prim
An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters
Water-quality trends in the nation’s rivers and streams, 1972–2012—Data preparation, statistical methods, and trend results
Water quality data for national-scale aquatic research: The Water Quality Portal
Organic contaminants in Great Lakes tributaries: Prevalence and potential aquatic toxicity
A bootstrap method for estimating uncertainty of water quality trends
River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons
User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract information about ch