Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Operational Hydrological Forecast for the Nakdong River Basin Using HSPF Watershed Model

HSPF 유역모델을 이용한 낙동강유역 실시간 수문 유출 예측

  • Shin, Changmin (Water Environment Research Department, Water Quality Control Center, National Institute of Environment Research) ;
  • Na, Eunye (Water Environment Research Department, Water Quality Control Center, National Institute of Environment Research) ;
  • Lee, Eunjeong (Water Environment Research Department, Water Quality Control Center, National Institute of Environment Research) ;
  • Kim, Dukgil (Water Environment Research Department, Water Quality Control Center, National Institute of Environment Research) ;
  • Min, Joong-Hyuk (Water Environment Research Department, Water Quality Control Center, National Institute of Environment Research)
  • 신창민 (국립환경과학원 물환경연구부 수질통합관리센터) ;
  • 나은혜 (국립환경과학원 물환경연구부 수질통합관리센터) ;
  • 이은정 (국립환경과학원 물환경연구부 수질통합관리센터) ;
  • 김덕길 (국립환경과학원 물환경연구부 수질통합관리센터) ;
  • 민중혁 (국립환경과학원 물환경연구부 수질통합관리센터)
  • Published : 2013.03.30
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Abstract

A watershed model was constructed using Hydrological Simulation Program Fortran to quantitatively predict the stream flows at major tributaries of Nakdong River basin, Korea. The entire basin was divided into 32 segments to effectively account for spatial variations in meteorological data and land segment parameter values of each tributary. The model was calibrated at ten tributaries including main stream of the river for a three-year period (2008 to 2010). The deviation values (Dv) of runoff volumes for operational stream flow forecasting for a six month period (2012.1.2 to 2012.6.29) at the ten tributaries ranged from -38.1 to 23.6%, which is on average 7.8% higher than those of runoff volumes for model calibration (-12.5 to 8.2%). The increased prediction errors were mainly from the uncertainties of numerical weather prediction modeling; nevertheless the stream flow forecasting results presented in this study were in a good agreement with the measured data.

Keywords

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