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http://dx.doi.org/10.5389/KSAE.2019.61.5.001

Estimation of Agricultural Reservoir Water Storage Based on Empirical Method  

Kang, Hansol (Department of Agricultural and Rural Engineering, Chungnam National University)
An, Hyunuk (Department of Agricultural and Rural Engineering, Chungnam National University)
Nam, Wonho (Department of Bioresources and Rural Systems Engineering, Hankyung National University)
Lee, Kwangya (Agricultural Drought Mitigation Center, Korea Rural Community Corporation(KRC))
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.61, no.5, 2019 , pp. 1-10 More about this Journal
Abstract
Due to the climate change the drought had been occurring more frequently in recent two decades as compared to the previous years. The change in the pattern and frequency of the rainfall have a direct effect on the farming sector; therefore, the quantitative estimation of water supply is necessary for efficient agricultural water reservoir management. In past researches, there had been several studies conducted in estimation and evaluation of water supply based on the irrigational water requirement. However, some researches had shown significant differences between the theoretical and observed data based on this requirement. Thus, this study aims to propose an approach in estimating reservoir rate based on empirical method that utilized observed reservoir rate data. The result of these two methods in comparison with the previous one is seen to be more fitted for both R2 and RMSE with the observed reservoir rate. Among these procedures, the method that considers the drought year data shows more fitted outcomes. In addition, this new method was verified using 15-year (2002 to 2006) linear regression equation and then compare the preceeding 3-year (1999 to 2001) data to the theoretical method. The result using linear regression equation is also perceived to be more closely fitted to the observed reservoir rate data than the one based on theoretical irrigation water requirement. The new method developed in this research can therefore be used to provide more suitable supply data, and can contribute to effectively managing the reservoir operation in the country.
Keywords
Agricultural reservoir; water balance model; linear regression model; irrigation supply;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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