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Estimation of irrigation supply from agricultural reservoirs based on reservoir storage data

  • Kang, Hansol (Department of Agricultural and Rural Engineering, Chungnam National University) ;
  • An, Hyunuk (Department of Agricultural and Rural Engineering, Chungnam National University) ;
  • Lee, Kwangya (Agricutural Drought Mitigation Center, Korea Rural Corporation (KRC))
  • Received : 2019.11.06
  • Accepted : 2019.11.20
  • Published : 2019.12.31

Abstract

Recently, the quantitative management of agricultural water supply, which is the main source for water consumption in Korea, has become more important due to the effective water management organization of the Korean government. In this study, the estimation method for irrigation supply based on agricultural reservoir storage data was improved compared to previous research, in which drought year selection was unclear, and the outlier data for the rainfall-irrigation supply were not eliminated in the regression analysis. In this study, the drought year was selected by the ratio of annual precipitation to mean annual precipitation and the storage rate observed before the start of irrigation. The outlier data for the rainfall-irrigation supply were eliminated by the Grubbs & Beck test. The proposed method was applied to nine agricultural reservoirs for validation. As a result, the ratio of annual precipitation to mean annual precipitation is less than 53% and the storage rate observed before the start of irrigation is less than 55% it was judged to be the drought year. In addition, the drought supply factor, K, was found to be 0.70 on average, showing closer results to the observed reservoir rates. This shows that water management at the real is appling drought year practice. It was shown that the performance of the proposed method was satisfactory with NSE (Nash-Sutcliffe model efficiency coefficient) and R2 (coefficient of determiniation) except for a few cases.

Keywords

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