Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables |
| |
Authors: | Maria C Maniquiz Soyoung Lee Lee-Hyung Kim |
| |
Institution: | Department of Civil & Environmental Engineering, Kongju National University, 275 Budaedong, Seobukgu, Cheonan, Chungnamdo, 331-717, Korea |
| |
Abstract: | 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. |
| |
Keywords: | event mean concentration (EMC) multiple linear regression model load non-point sources rainfall urban runoff |
本文献已被 CNKI 万方数据 等数据库收录! |
|