Publications
These publications showcase the significant science conducted in our Science Centers.
Filter Total Items: 16780
Predicting arsenic in drinking water wells of the Central Valley, California
Probabilities of arsenic in groundwater at depths used for domestic and public supply in the Central Valley of California are predicted using weak-learner ensemble models (boosted regression trees, BRT) and more traditional linear models (logistic regression, LR). Both methods captured major processes that affect arsenic concentrations, such as the chemical evolution of groundwater, redox differen
Authors
Joseph D. Ayotte, Bernard T. Nolan, JoAnn M. Gronberg
Acid mine drainage
Acid mine drainage (AMD) consists of metal-laden solutions produced by the oxidative dissolution of iron sulfide minerals exposed to air, moisture, and acidophilic microbes during the mining of coal and metal deposits. The pH of AMD is usually in the range of 2–6, but mine-impacted waters at circumneutral pH (5–8) are also common. Mine drainage usually contains elevated concentrations of sulfate,
Authors
Jerry M. Bigham, Charles A. Cravotta
Dermocystidium sp. infection in Blue Ridge Sculpin captured in Maryland
Raised pale cysts were observed on Blue Ridge Sculpin Cottus caeruleomentum during stream fish community surveys in Catoctin Mountain Park, Maryland. When examined histologically, preserved sculpin exhibited multiple cysts containing spherical endospores with a refractile central body characteristic of Dermocystidiumspp. Cysts were not observed on the gills or internally. The portion of the waters
Authors
Vicki S. Blazer, Nathaniel P. Hitt, Craig D. Snyder, Erin Snook, Cynthia R. Adams
Decision-making for foot-and-mouth disease control: Objectives matter
Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multip
Authors
William J. M. Probert, Katriona Shea, Christopher J. Fonnesbeck, Michael C. Runge, Tim E. Carpenter, Salome Durr, M. Graeme Garner, Neil Harvey, Mark A. Stevenson, Colleen T. Webb, Marleen Werkman, Michael J. Tildesley, Matthew J. Ferrari