Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

查看全文 作　　者：Marla [1]C.Maniquiz;Soyoung [1]Lee;Lee-Hyung [1]Kim

机构地区：[1]Department of Civil & Environmental Engineering,Kongju National University

出　　处：《Journal of Environmental Sciences》索引2010年第22卷第6期,共7页

基　　金：provided by the Korean Ministry of Environment and Eco Star Project 摘　　要：Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-off pollutant concentrations from non-point sources (NPSs).Pollutant loads could also be calculated using rainfall,catchment area and runoff coefficient.In this study,runoff quantity and quality data gathered from a 28-month monitoring conducted on the road and parking lot sites in Korea were evaluated using multiple linear regression (MLR) to develop equations for estimating pollutant loads and EMCs as a function of rainfall variables.The results revealed that total event rainfall and average rainfall intensity are possible predictors of pollutant loads.Overall,the models are indicators of the high uncertainties of NPSs;perhaps estimation of EMCs and loads could be accurately obtained by means of water quality sampling or a long term monitoring is needed to gather more data that can be used for the development of estimation models. 关键词：线性回归模型平均浓度污染负荷城市径流降雨量事件污染物浓度估计模型

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Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

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