Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs

摘要: A new approach to the analysis of long-term surface water-quality data is proposed and implemented. The goal this increase amount information that extracted from types rich datasets now exist. method formulated allow for maximum flexibility in representations trend, seasonal components, discharge-related components behavior variable interest. It designed provide internally consistent estimates actual history concentrations fluxes as well histories eliminate influence year-to-year variations streamflow. employs use weighted regressions on time, discharge, season. Finally, be useful a diagnostic tool regarding kinds changes are taking place watershed related point sources, groundwater surface-water nonpoint sources. applied nine large tributaries Chesapeake Bay 1978 2008. results show wide range patterns change total phosphorus dissolved nitrate plus nitrite. These should prove further examination causes changes, or lack may help inform decisions about future actions reduce nutrient enrichment its watershed. Hirsch, Robert M., Douglas L. Moyer, Stacey A. Archfield, 2010. Weighted Regressions Time, Discharge, Season (WRTDS), With an Application River Inputs. Journal American Water Resources Association (JAWRA) 46(5):857-880. DOI: 10.1111/j.1752-1688.2010.00482.x