Wisconsin Water Science Center
This list of Wisconsin Water Science Center publications spans from 1953 to present. It includes both official USGS publications and journal articles authored by our scientists.
Determining the 95% limit of detection for waterborne pathogen analyses from primary concentration to qPCR
The limit of detection (LOD) for qPCR-based analyses is not consistently defined or determined in studies on waterborne pathogens. Moreover, the LODs reported often reflect the qPCR assay alone rather than the entire sample process. Our objective was to develop an approach to determine the 95% LOD (lowest concentration at which 95% of positive...Stokdyk, Joel P.; Firnstahl, Aaron; Spencer, Susan K.; Burch, Tucker R; Borchardt, Mark A.
Changes in streamflow characteristics in Wisconsin as related to precipitation and land use
Streamflow characteristics were determined for 15 longterm streamflow-gaging stations for the periods 1915–2008, 1915–68, and 1969–2008 to identify trends. Stations selected represent flow characteristics for the major river basins in Wisconsin. Trends were statistically significant at the 95 percent confidence level at 13 of the...Gebert, Warren A.; Garn, Herbert S.; Rose, William J.
The effect of particle size distribution on the design of urban stormwater control measures
An urban pollutant loading model was used to demonstrate how incorrect assumptions on the particle size distribution (PSD) in urban runoff can alter the design characteristics of stormwater control measures (SCMs) used to remove solids in stormwater. Field-measured PSD, although highly variable, is generally coarser than the widely-accepted PSD...Selbig, William R.; Fienen, Michael N.; Horwatich, Judy A.; Bannerman, Roger T.
Predicting recreational water quality advisories: A comparison of statistical methods
Epidemiological studies indicate that fecal indicator bacteria (FIB) in beach water are associated with illnesses among people having contact with the water. In order to mitigate public health impacts, many beaches are posted with an advisory when the concentration of FIB exceeds a beach action value. The most commonly used method of measuring FIB...Brooks, Wesley R.; Corsi, Steven R.; Fienen, Michael N.; Carvin, Rebecca B.
Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk
Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations were identified, and the risk of swimmer infection and illness was estimated. Waterborne pathogens were detected in 96% of samples collected at three Lake Michigan beaches in summer, 2010. Samples were quantified for...Corsi, Steven R.; Borchardt, Mark A.; Carvin, Rebecca B.; Burch, Tucker R; Spencer, Susan K.; Lutz, Michelle A.; McDermott, Colleen M.; Busse, Kimberly M.; Kleinheinz, Gregory; Feng, Xiaoping; Zhu, Jun
Ecohydrology and Its Relation to Integrated Groundwater Management
In the twentieth century, groundwater characterization focused primarily on easily measured hydraulic metrics of water storage and flows. Twenty-first century concepts of groundwater availability, however, encompass other factors having societal value, such as ecological well-being. Effective ecohydrological science is a nexus of fundamental...Hunt, Randall J.; Hayashi, Masaki; Batelaan, Okke
Groundwater regulation and integrated planning
The complex nature of groundwater and the diversity of uses and environmental interactions call for emerging groundwater problems to be addressed through integrated management and planning approaches. Planning requires different levels of integration dealing with: the hydrologic cycle (the physical process) including the temporal dimension; river...Quevauviller, Philippe; Batelaan, Okke; Hunt, Randall J.
Integrated groundwater management: An overview of concepts and challenges
Managing water is a grand challenge problem and has become one of humanity’s foremost priorities. Surface water resources are typically societally managed and relatively well understood; groundwater resources, however, are often hidden and more difficult to conceptualize. Replenishment rates of groundwater cannot match past and current rates of...Jakeman, Anthony J.; Barreteau, Olivier; Hunt, Randall J.; Rinaudo, Jean-Daniel; Ross, Andrew; Jakeman, Anthony J.; Barreteau, Olivier; Hunt, Randall J.; Rinaudo, Jean-Daniel; Ross, Andrew
Integrated modeling approach for fate and transport of submerged oil and oil-particle aggregates in a freshwater riverine environment
The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, Michigan, U.S.A., in July 2010 was one of the largest oil spills into freshwater in North American history. A portion of the oil interacted with river sediment and submerged requiring the development and implementation of new approaches for...Fitzpatrick, Faith A.; Johnson, Rex; Zhu, Zhenduo; Waterman, David; McCulloch, Richard D.; Hayter, Earl; Garcia, Marcelo H.; Boufadel, Michel C.; Dekker, Timothy; Hassan, Jacob S.; Soong, David T.; Hoard, Christopher J.; Lee, Kenneth
The international scale of the groundwater issue
Throughout history, and throughout the world, groundwater has been a major source of water for sustaining human life. Use of this resource has increased dramatically over the last century. In many areas of the world, the balance between human and ecosystem needs is difficult to maintain. Understanding the international scale of the groundwater...Fienen, Michael; Arshad, Muhammad
Applied groundwater modeling, 2nd Edition
This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a...Anderson, Mary P.; Woessner, William W.; Hunt, Randall J.
A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA
We used a statistical learning framework to evaluate the ability of three machine-learning methods to predict nitrate concentration in shallow groundwater of the Central Valley, California: boosted regression trees (BRT), artificial neural networks (ANN), and Bayesian networks (BN). Machine learning methods can learn complex patterns in the data...Nolan, Bernard T.; Fienen, Michael N.; Lorenz, David L.