Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Operational Water Quality Forecast for the Yeongsan River Using EFDC Model

EFDC 수질모델을 이용한 영산강 수계 수질 예측

  • Shin, Chang Min (Water Quality Assessment Research Division, National Institute of Environment Research) ;
  • Min, Joong-Hyuk (Water Quality Assessment Research Division, National Institute of Environment Research) ;
  • Park, Su Young (Water Quality Assessment Research Division, National Institute of Environment Research) ;
  • Choi, Jungkyu (Water Quality Assessment Research Division, National Institute of Environment Research) ;
  • Park, Jong Hwan (Yeongsan River Environment Research Center, National Institute of Environment Research) ;
  • Song, Young Sik (Research and Development Institute, GeoSystemResearch Corporation) ;
  • Kim, Kyunghyun (Water Quality Assessment Research Division, National Institute of Environment Research)
  • 신창민 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 민중혁 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 박수영 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 최정규 (국립환경과학원 물환경연구부 물환경평가연구과) ;
  • 박종환 (국립환경과학원 영산강물환경연구소) ;
  • 송용식 ((주)지오시스템리서치 부설연구소) ;
  • 김경현 (국립환경과학원 물환경연구부 물환경평가연구과)
  • Received : 2017.02.09
  • Accepted : 2017.03.29
  • Published : 2017.03.30
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Abstract

A watershed-river linked modeling system was developed to forecast the water quality, particularly weekly changes in chlorophyll-a concentration, of the Yeongsan River, Korea. Hydrological Simulation Program-Fortran (HSPF) and Environmental Fluid Dynamics Code (EFDC) were adopted as the basic model framework. In this study, the EFDC model was modified to effectively simulate the operational condition and flow of multi-functional weirs constructed in the main channel of rivers. The model was tested against hydrologic, water quality and algal data collected at the right upstream sites of two weirs in 2014. The mean absolute errors (MAEs) of the model calibration on the annual variations of river stage, TN, TP, and algal concentration are 0.03 ~ 0.10 m, 0.65 ~ 0.67 mg/L, 0.03 ~ 0.04 mg/L, and $9.7{\sim}10.8mg/m^3$, respectively. On the other hand, the MAE values of forecasting results for chlorophyll-a level at the same sites in 2015 range from 18.7 to $22.4mg/m^3$, which are higher than those of model calibration. The increased errors in forecasting are mainly attributed to the higher uncertainties of weather forecasting data compared to the observed data used in model calibration.

Keywords

References

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