한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제57권4호
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  • Pages.121-133
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  • 2015
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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TANK 모형 매개변수 추정을 위한 회귀식 개발

Regression Equations for Estimating the TANK Model Parameters

  • An, Ji Hyun (Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries) ;
  • Song, Jung Hun (Department of Rural Systems Engineering, Seoul National University) ;
  • Kang, Moon Seong (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Institute of Green Bio Science and Technology, Seoul National University) ;
  • Song, Inhong (Research Institute of Agricultural and Life Sciences, Seoul National University) ;
  • Jun, Sang Min (Department of Rural Systems Engineering, Seoul National University) ;
  • Park, Jihoon (Department of Rural Systems Engineering, Seoul National University)
  • 투고 : 2015.07.03
  • 심사 : 2015.07.17
  • 발행 : 2015.07.30
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초록

The TANK model has been widely used in rainfall-runoff modeling due to its simplicity of concept and computation while achieving forecast accuracy. A major barrier to the model application is to determine parameter values for ungauged watersheds, leading to the need of a method for the parameter estimation. The objective of this study was to develop regression equations for estimating the 3th TANK model parameters considering their variations for the ungauged watersheds. Thirty watersheds of dam sites and stream stations were selected for this study. A genetic algorithm was used to optimize TANK model parameters. Watershed characteristics used in this study include land use percent, watershed area, watershed length, and watershed average slope. Generalized equations were derived by correlating to the optimized parameters and the watershed characteristics. The results showed that the TANK model, with the parameters determined by the developed regression equations, performed reasonably with 0.60 to 0.85 of Nash-Sutcliffe efficiency for daily runoff. The developed regression equations for the TANK model can be applied for the runoff simulation particularly for the ungauged watersheds, which is common for upstream of agricultural reservoirs in Korea.

키워드

참고문헌

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