Water-Temperature Prediction of Streams Entering into Imha Reservoir using Multi-Regnssion Method

다중회귀분석을 이용한 임하호 유입하천의 수온예측

  • Yi, Yong-Kon (Korea Institute of Water and Environment, Korea Water Resources Corporation) ;
  • Lee, Sanguk (Korea Institute of Water and Environment, Korea Water Resources Corporation) ;
  • Koh, Deuk Koo (Korea Institute of Water and Environment, Korea Water Resources Corporation)
  • 이용곤 (한국수자원공사 수자원연구원) ;
  • 이상욱 (한국수자원공사 수자원연구원) ;
  • 고덕구 (한국수자원공사 수자원연구원)
  • Received : 2006.06.16
  • Accepted : 2006.08.02
  • Published : 2006.09.30

Abstract

The regression models for the water temperatures of Ban Byeon Stream and Yong Jeon stream were developed using multi-regression method. It was also investigated that the applicability of the stream temperature prediction to two-dimensional numerical simulation to predict the vertical water temperature in Imha Reservoir. Air temperature and dew point as independent variables were selected to be applicable to cases with the different variation of flow rates. The data division of water temperature using a cutoff flow rate of $20m^3/s$ was found to reduce the prediction error of the stream temperature. The mean absolute percent error of the numerical simulation results of the vertical water temperature in Imha Reservoir using the regression models was 11%, which was only 4.3% lager than the simulation result using the measured stream temperature. Therefore, the regression models of the stream temperatures using multi-regression method applied in this study could be applied to predict the vertical water temperature in Imha Reservoir with a good accuracy.

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