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http://dx.doi.org/10.3741/JKWRA.2015.48.6.425

Simulation of Agricultural Water Supply Considering Yearly Variation of Irrigation Efficiency  

Song, Jung Hun (Department of Rural Systems Engineering, Seoul National University)
Song, Inhong (Research Institute of Agriculture and Life Sciences, Seoul National University)
Kim, Jin Taek (Rural Research Institute, Korea Rural Community Corporation)
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)
Publication Information
Journal of Korea Water Resources Association / v.48, no.6, 2015 , pp. 425-438 More about this Journal
Abstract
The objective of this study was to evaluate simulation of agricultural water supply considering yearly variation of irrigation efficiency. The water supply data of the Idong reservoir from 2001 through 2009 was collected and used for this study. Total 6 parameters including irrigation efficiency (Es), drainage outlet height, and infiltration, were used for sensitivity analysis, calibration, and validation. Among the parameters, the Es appeared to be the most sensitivity parameter. The Es was calibrated on a yearly basis considering sensitivity and time-varying characteristic, while other parameters were set to fixed values. The statistics of percent bias (PBLAS), Nash-Sutcliffe efficiency (NSE), and root means square error to the standard deviation of measured data (RSR) for a monthly step were 2.7%, 0.93, and 0.26 for the calibration, and 3.9%, 0.89, and 0.32 for the validation, correspondently. The results showed a good agreement with the observations. This implies that the modeling only with appropriate parameter values, apart from modeling approaches, can simulate the real supply operation reasonably well. However, the simulations with uncalibrated parameters from previous studies produced poor results. Thus, it is important to use calibrated values, and especially, we suggest the Es's yearly calibration for simulating agricultural water supply.
Keywords
agricultural water supply; irrigation water requirement; irrigation efficiency; sensitivity analysis; model evaluation;
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Times Cited By KSCI : 12  (Citation Analysis)
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