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Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variables for these models are included in the data file and input files provided. These include sampling dates and times, rainfall depth, percent of watershed underlain by tile drainage, cattle population (for the ruminant marker model) and human population (for the human marker models). Sample collection and laboratory analyses...
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Human-associated indicator bacteria and human specific viruses in the Menomonee River watershed in Milwaukee, WI were investigated from April 2009 to March 2011 at six sampling locations within the watershed using genetic markers to assess the amount of waterborne pathogen contamination. We used concentration and water volume data from runoff-event and low-flow periods to compute human virus and indicator bacteria loads for each sample collected. Loads were then used, along with drainage area from each defined sub-watershed, to compute yield contributions of human-associated bacteria and human specific viruses for each of the six sub-watersheds studied in the Menomonee River watershed.
Categories: Data;
Tags: Environmental Health,
Menomonee Falls, Wisconsin,
Menomonee River,
Milwaukee, Wisconsin,
USGS Science Data Catalog (SDC), All tags...
Water Quality,
Water Resources,
Wauwatosa, Wisconsin,
human specific viruses,
human-associated indicator bacteria, Fewer tags
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