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Improvement of Water Quality and Streamflow Monitoring to Quantify Point and Nonpoint Source Pollutant Loads  

Jang, Ju-Hyoung (Han River Environment Research Center, National Institute of Environmental Research)
Lee, Hyung-Jin (Han River Environment Research Center, National Institute of Environmental Research)
Kim, Hyun-Koo (Han River Environment Research Center, National Institute of Environmental Research)
Park, Ji-Hyoung (Han River Environment Research Center, National Institute of Environmental Research)
Kim, Ji-Ho (Han River Environment Research Center, National Institute of Environmental Research)
Rhew, Doug-Hee (Han River Environment Research Center, National Institute of Environmental Research)
Publication Information
Abstract
Long term monthly monitoring data showed that the water quality of streams flowing into Lake Paldang has been improved by various strategy for water. However, the effect of quality on Lake Paldang is still insufficient because of nonpoint source from watershed. In order to evaluate quantifying methods for pollution source and make a suggestion on improvements, Storm Water Management Model (SWMM) was constructed by using data set from the water quality and streamflow monitoring network in the Kyoungan watershed for Total Maximum Daily Loads (TMDLs). Load duration curve (LDC) based on the result of the Kyoungan watershed SWMM indicated that the water quality criterion on $BOD_5$ was often exceeded in up-stream than down-stream. From flowrate-load correlation curve, SS load significantly increased as streamflow increases. 75.3% of streamflow and 62.1% of $BOD_5$ loads is discharged especially in the zone of high flows, but monitoring data set didn't provide proper information about the conditions and the patterns associated with storm events. Therefore, it is necessary to acquire representative data set for comparing hydrograph and pollutograph through monitoring experimental watershed and to establish methods for quantifying point and nonpoint source pollutant loads.
Keywords
Flowrate-load correlation curve; Load duration curve (LDC); Point and nonpoint source; Storm Water Management Model (SWMM);
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Times Cited By KSCI : 8  (Citation Analysis)
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