| Title |
Prediction of Water Quality in Miho River Watershed using Water Quality Models |
| Authors |
정상만 ( Sang Man Jeong ) ; 박정규 ( Jeong Kyoo Park ) ; 박영기 ( Young Kee Park ) ; 김이형 ( Lee Hyung Kim ) |
| Keywords |
QUAL2E model; Box-Jenkins time series model; Pollutant load |
| Abstract |
The QUAL2E and Box-Jenkins time series model were applied to the Miho river, a main tributary of the Geum river, to predict water quality. The models are widely used to predict water quality in rivers and watersheds because of its accuracy. As results of the study, we concluded as follows: Pollutant loadings in upper stream of Miho river were determined to 57,811 ㎏BOD/d, 19,350 ㎏TN/d, and 5,013 ㎏TP/d. The loading of TN in Mushim river was 19,450 ㎏TN/d, respectively. As the mass loadings were compared with pollutant sources, it concluded that the farming livestock contributed highly to mass emissions of BOD and TP and the population contributed to TN mass loading. The observed water quality values were applied to the models to verify and the models were used to predict the water quality. The QUAL2E Model predicted the concentrations of DO, BOD, TN and TP with high accuracy, but not for E-Coli. The Box-Jenkins time series model also showed high prediction for DO, BOD and TN. However, the concentrations of TP and E-Coli were poorly predicted. The result shows that the QUAL2E model is more applicable in Miho basin for prediction of water quality compared to Box-Jenkins time series model. |