Publications
This list of Upper Midwest Water Science Center publications spans from 1899 to present. It includes both official USGS publications and journal articles authored by our scientists. To access the full, searchable catalog of USGS publications, please visit the USGS Publications Warehouse.
Filter Total Items: 2354
Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology
Spatially and temporally distributed measurements of processes, such as baseflow at the watershed scale, come at substantial equipment and personnel cost. Research presented here focuses on building a crowdsourced database of inexpensive distributed stream stage measurements. Signs on staff gauges encourage citizen scientists to voluntarily send hydrologic measurements (e.g., stream...
Authors
Michael N. Fienen, Chris Lowry
Electron donor concentrations in sediments and sediment properties at the agricultural chemicals team research site near New Providence, Iowa, 2006-07 Electron donor concentrations in sediments and sediment properties at the agricultural chemicals team research site near New Providence, Iowa, 2006-07
The concentrations of electron donors in aquifer sediments are important to the understanding of the fate and transport of redox-sensitive constituents in groundwater, such as nitrate. For a study by the U.S. Geological Survey National Water-Quality Assessment Program, 50 sediment samples were collected from below the water table from 11 boreholes at the U.S. Geological Survey...
Authors
Bijesh Maharjan, Scott F. Korom, Erik A. Smith
Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions
The application bgaPEST is a highly parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with the parameter estimation suite PEST. Highly parameterized inversion refers to cases in which parameters are distributed in space or time and are correlated with one another. The Bayesian aspect of bgaPEST is related to Bayesian...
Authors
Michael N. Fienen, Marco D'Oria, John E. Doherty, Randall J. Hunt
Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009 Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009
Hydrologic and water-quality data were collected at Bower Creek during the periods before best-management practices (BMPs), and after BMPs were installed for evaluation of water-quality improvements. The monitoring was done between 1990 and 2009 with the pre-BMP period ending in July 1994 and the post-BMP period beginning in October 2006. BMPs installed in this basin included streambank...
Authors
Steven R. Corsi, Judy A. Horwatich, Troy D. Rutter, Roger T. Bannerman
SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin
Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment...
Authors
Dale M. Robertson, David A. Saad
Reply to discussion: "Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. De Reply to discussion: "Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. De
No abstract available.
Authors
Dale M. Robertson, David A. Saad
Effects of future urban and biofuel crop expansions on the riverine export of phosphorus to the Laurentian Great Lakes Effects of future urban and biofuel crop expansions on the riverine export of phosphorus to the Laurentian Great Lakes
Increased phosphorus (P) loadings threaten the health of the world’s largest freshwater resource, the Laurentian Great Lakes (GL). To understand the linkages between land use and P delivery, we coupled two spatially explicit models, the landscape-scale SPARROW P fate and transport watershed model and the Land Transformation Model (LTM) land use change model, to predict future P export...
Authors
Meredith B. LaBeau, Dale M. Robertson, Alex S. Mayer, Bryan C. Pijanowski, David A. Saad
U.S. Geological Survey environmental health science strategy — Providing environmental health science for a changing world U.S. Geological Survey environmental health science strategy — Providing environmental health science for a changing world
Executive Summary America has an abundance of natural resources. We have bountiful clean water, fertile soil, and unrivaled national parks, wildlife refuges, and public lands. These resources enrich our lives and preserve our health and wellbeing. These resources have been maintained because of our history of respect for their value and an enduring commitment to their vigilant protection...
Authors
Patricia R. Bright, Herbert T. Buxton, Laurie S. Balistrieri, Larry B. Barber, Francis H. Chapelle, Paul C. Cross, David P. Krabbenhoft, Geoffrey S. Plumlee, Jonathan M. Sleeman, Donald E. Tillitt, Patricia L. Toccalino, James R. Winton
Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams
The occurrence and distribution of fecal indicator bacteria (FIB) and bacterial and protozoan pathogens are controlled by diverse factors. To investigate these factors in Pennsylvania streams, 217 samples were collected quarterly from a 27-station water-quality monitoring network from July 2007 through August 2009. Samples were analyzed for concentrations of Escherichia coli (EC) and...
Authors
Joseph W. Duris, Andrew G. Reif, Donna A. Crouse, Natasha M. Isaacs
Floods of June 2012 in northeastern Minnesota Floods of June 2012 in northeastern Minnesota
During June 19–20, 2012, heavy rainfall, as much as 10 inches locally reported, caused severe flooding across northeastern Minnesota. The floods were exacerbated by wet antecedent conditions from a relatively rainy spring, with May 2012 as one of the wettest Mays on record in Duluth. The June 19–20, 2012, rainfall event set new records in Duluth, including greatest 2-day precipitation...
Authors
Christiana R. Czuba, James D. Fallon, Erich W. Kessler
Trophic transfer efficiency of methylmercury and inorganic mercury to lake trout Salvelinus namaycush from its prey Trophic transfer efficiency of methylmercury and inorganic mercury to lake trout Salvelinus namaycush from its prey
Based on a laboratory experiment, we estimated the net trophic transfer efficiency of methylmercury to lake trout Salvelinus namaycush from its prey to be equal to 76.6 %. Under the assumption that gross trophic transfer efficiency of methylmercury to lake trout from its prey was equal to 80 %, we estimated that the rate at which lake trout eliminated methylmercury was 0.000244 day−1...
Authors
C.P. Madenijian, S.R. David, D. P. Krabbenhoft
Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization
The TSPROC (Time Series PROCessor) computer software uses a simple scripting language to process and analyze time series. It was developed primarily to assist in the calibration of environmental models. The software is designed to perform calculations on time-series data commonly associated with surface-water models, including calculation of flow volumes, transformation by means of basic
Authors
Stephen M. Westenbroek, John Doherty, John F. Walker, Victor A. Kelson, Randall J. Hunt, Timothy B. Cera