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My main interest is improving the analysis of hydrologic data, with a focus on the topic of trends streamflow data and surface water quality data. My research on this has resulted in the development of the EGRET software (Exploration and Graphic for RivEr Trends) written in R and available freely on line.
The focus of my research is the description and understanding of long-term variability and change in surface-water quality and streamflow. I develop and apply new statistical tools to help characterize these changes to gain the best possible understanding of the nature of the change and its implications from a policy perspective (related to water quality improvement, flood hazard mitigation, water supply planning). This work has resulted in the development of the statistical method (Weighted Regressions on Time, Discharge, and Season - WRTDS) which I have applied to the study of water quality trends in a variety of watersheds including Chesapeake Bay, the Mississippi River, Lake Erie, and Lake Champlain. This technique is a central feature of the EGRET R package. That package is designed to be a “toolbox” for analysis of daily streamflow data and surface water quality data.
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JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2023): 101566
ENVIRONMENTAL SCIENCE & TECHNOLOGYno. 45 (2023): 17465-17480
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