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Development of SATEEC R Module using Daily Rainfall Data

일강우를 고려한 SATEEC R모듈 개발

  • Jang, Chun-Hwa (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Ryu, Ji-Chul (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kang, Hyun-Woo (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kum, Dong-Hyuk (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kim, Young-Sug (Construction Environment Research Division, Korea Institute of Construction Technology) ;
  • Park, Hwa-Yong (Water&Enviroment Division, POSCO E&C) ;
  • Kim, Ki-Sung (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Lim, Kyoung-Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • 장춘화 (강원대학교 지역건설공학과) ;
  • 류지철 (강원대학교 지역건설공학과) ;
  • 강현우 (강원대학교 지역건설공학과) ;
  • 금동혁 (강원대학교 지역건설공학과) ;
  • 김영석 (한국건설기술연구원 건설환경연구실) ;
  • 박화용 (포스코건설 물환경사업본부) ;
  • 김기성 (강원대학교 지역건설공학과) ;
  • 임경재 (강원대학교 지역건설공학과)
  • Received : 2011.11.18
  • Accepted : 2011.12.02
  • Published : 2011.12.31

Abstract

Universal Soil Loss Equation (USLE) has been used to estimate potential long-term soil erosion in the fields. However, the USLE does not estimate sediment yield due to lack of module considering sediment delivery ratio (SDR) for watershed application. For that reason, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) system was developed and applied to compute the sediment yield at watershed scale. However, the R factor of current SATEEC Ver. 2.1 was estimated based on 5-day antecedent rainfall, it is not related with fundamental concept of R factor. To compute R factor accurately, the energy of rainfall strikes should be considered. In this study, the R module in the SATEEC system was enhanced using formulas of Williams, Foster, Cooley, CREAMS which could consider the energy of rainfall strikes. The enhanced SATEEC system ver. 2.2 was applied to the Imha watershed and monthly sediment yield was estimated. As a result of this study, the $R^2$ and NSE values are 0.591 and 0.573 for calibration period, and 0.927 and 0.911 for validation period, respectively. The results demonstrate the enhanced SATEEC System estimates the sediment yield suitably, and it could be used to establish the detailed environmental policy standard using USLE input dataset at watershed scale.

Keywords

References

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