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Filters: Tags: Lake:Lake Erie (X) > partyWithName: W. Scott Gain (X)

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This project, a collaborative study involving the U.S. Geological Survey (USGS) and Heidelberg University, focuses on using multi-agency water monitoring data in the Lake Erie basin (fig. 1) and a USGS package of software tools (dataRetrieval and EGRET; Hirsch and De Cicco, 2015 ) to evaluate seasonal and annual phosphorus and nitrogen trends, and to relate observed trends to climate, streamflow, and land-use activities. EGRET utilizes a recently developed trend method, Weighted Regressions on Time, Discharge, and Season (WRTDS; Hirsch and others, 2010 ). WRTDS is designed to remove the effects of year-to-year streamflow variations on nutrient trends and provide improvements over prior conventional trend methods,...
    map background search result map search result map Evaluation of stream nutrient trends in the Lake Erie drainage basin in the presence of changing patterns in climate, streamflow, land drainage, and agricultural practices Evaluation of stream nutrient trends in the Lake Erie drainage basin in the presence of changing patterns in climate, streamflow, land drainage, and agricultural practices