Multiple linear regression models of urban runo pollutant load and eventmean concentration considering rainfall variables
Marla C. Maniquiz , Soyoung Lee , Lee-Hyung Kim
DOI:
Received October 21, 2009,Revised January 11, 2010, Accepted , Available online
Volume 22,2010,Pages 946-952
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Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-o pollutant
concentrations from non-point sources (NPSs). Pollutant loads could also be calculated using rainfall, catchment area and runo
coe cient. In this study, runo 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.
