The Effect of Slope-based Curve Number Adjustment on Direct Runoff Estimation by L-THIA

경사도에 따른 CN보정에 의한 L-THIA 직접유출 모의 영향 평가

  • Kim, Jonggun (Division of Agricutural Engineering, Kangwon University) ;
  • Lim, Kyoung Jae (Division of Agricutural Engineering, Kangwon University) ;
  • Park, Younshik (Division of Agricutural Engineering, Kangwon University) ;
  • Heo, Sunggu (Division of Agricutural Engineering, Kangwon University) ;
  • Park, Joonho (Division of Agricutural Engineering, Kangwon University) ;
  • Ahn, Jaehun (National Institute of Highland Agriculture, Rural Development Administration) ;
  • Kim, Ki-sung (Division of Agricutural Engineering, Kangwon University) ;
  • Choi, Joongdae (Division of Agricutural Engineering, Kangwon University)
  • 김종건 (강원대학교 농업공학부) ;
  • 임경재 (강원대학교 농업공학부) ;
  • 박윤식 (강원대학교 농업공학부) ;
  • 허성구 (강원대학교 농업공학부) ;
  • 박준호 (강원대학교 농업공학부) ;
  • 안재훈 (농업진흥청 고령지 농업연구소) ;
  • 김기성 (강원대학교 농업공학부) ;
  • 최중대 (강원대학교 농업공학부)
  • Received : 2007.05.31
  • Accepted : 2007.11.06
  • Published : 2007.11.30

Abstract

Approximately 70% of Korea is composed of forest areas. Especially 48% of agricultural field is practiced at highland areas over 400 m in elevation in Kangwon province. Over 90% of highland agricultural farming is located at Kangwon province. Runoff characteristics at the mountainous area such as Kangwon province are largely affected by steep slopes, thus runoff estimation considering field slopes needs to be utilized for accurate estimation of direct runoff. Although many methods for runoff estimation are available, the Soil Conservation Service (SCS), now Natural Resource Conservation Service (NRCS), Curve Number (CN)-based method is used in this study. The CN values were obtained from many plot-years dataset obtained from mid-west areas of the United States, where most of the areas have less than 5% in slopes. Thus, the CN method is not suitable for accurate runoff estimation where significant areas are over 5% in slopes. Therefore, the CN values were adjusted based on the average slopes (25.8% at Doam-dam watershed) depending on the 5-day Antecedent Moisture Condition (AMC). In this study, the CN-based Long-Term Hydrologic Impact Assessment (L-THIA) direct runoff estimation model used and the Web-based Hydrograph Analysis Tool (WHAT) was used for direct runoff separation from the stream flow data. The $R^2$ value was 0.65 and the Nash-Sutcliffe coefficient value was 0.60 when no slope adjustment was made in CN method. However, the $R^2$ value was 0.69 and the Nash-Sutcliffe value was 0.69 with slope adjustment. As shown in this study, it is strongly recommended the slope adjustment in the CN direct runoff estimation should be made for accurate direct runoff prediction using the CN-based L-THIA model when applied to steep mountainous areas.

Keywords

Acknowledgement

Supported by : 농촌진흥청, 강원대학교 농업과학연구소

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