Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Prediction of Water Quality in Miho River Watershed using Water Quality Models

모형을 이용한 미호천 유역의 하천수질 예측

  • Jeong, Sang-Man (Dept. of Civil & Environmental Engineering, Disaster Prevention Research Center, Kongju National University) ;
  • Park, Jeong-Kyoo (Dept. of Environmental System, Hyechon College) ;
  • Park, Young-Kee (Dept. of Civil & Environmental Engineering, Disaster Prevention Research Center, Kongju National University) ;
  • Kim, Lee-Hyung (Dept. of Civil & Environmental Engineering, Disaster Prevention Research Center, Kongju National University)
  • 정상만 (국립 공주대학교 건설환경공학부 방재연구센타) ;
  • 박정규 (혜천대학 환경시스템과) ;
  • 박영기 (국립 공주대학교 건설환경공학부 방재연구센타) ;
  • 김이형 (국립 공주대학교 건설환경공학부 방재연구센타)
  • Received : 2003.12.18
  • Accepted : 2004.01.12
  • Published : 2004.05.30
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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 kgBOD/d, 19,350 kgTN/d, and 5,013 kgTP/d. The loading of TN in Mushim river was 19,450 kgTN/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.

Keywords

References

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