Unified methodology for site-characterization and sampling of highway runoff

查看全文 作　　者：Jy [1]S.WU;Craig [1]J.ALLAN 机构地区：[1]Department of Civil and Environmental Engineering,University of North Carolina at Charlotte,Charlotte,NC 28223,USA 2 Department of Geography and Earth Sciences,University of North Carolina at Charlotte,Charlotte,NC 28223,USA 出　　处：《Frontiers of Environmental Science & Engineering》索引2010年第4卷第1期,共12页 摘　　要：Hydrology,roadway traffic conditions,and atmospheric deposition are three essential data categories for the planning and implementation of highway-runoff monitoring and characterization programs.Causal variables pertaining to each data category could be site specific but have been shown to correlate with runoff pollutant loads.These data categories were combined to derive statistical relationships for characterization and prioritization of the respective pollutant loads at highway runoff sites.Storm runoff data of total suspended solids(TSS),total dissolved solid(TDS),chemical oxygen demand(COD),total Kjeldahl nitrogen(TKN)and total phosphorus(TP)collected from three highway sites in Charlotte,North Carolina,USA,were used to illustrate the development of site-specific highway-runoff pollutant loading models.This unified methodology provides a basis for initial assessment of the pollutant-constituent loads from highway runoff using hydrologic component variables.Improved reliability is achievable when additional traffic and/or atmospheric component variables are incorporated into the basic hydrologic regression model.In addition,operational guidance is suggested for implementing highway-runoff monitoring programs that are subject to sampling and resources constraints. 关 键 词：highway runoff pollutant loads regression models non-point source pollution storm water permit