농업용 저수지 이수관리를 위한 저수율 가뭄단계기준 개선
Improvement of Drought Operation Criteria in Agricultural Reservoirs
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Currently, the operation rule of agricultural reservoirs in case of drought events follows the drought forecast warning standard of agricultural watersupply. However, it is difficult to preemptively manage drought in individual reservoirs because drought forecasting standards are set according toaverage reservoir storage ratio such as 70%, 60%, 50%, and 40%. The equal standards based on average water level across the country could not reflectthe actual drought situation in the region. In this study, we proposed the improvement of drought operation rule for agricultural reservoirs based onthe percentile approach using past water level of each reservoir. The percentile approach is applied to monitor drought conditions and determine droughtcriteria in the U.S. Drought Monitoring (USDM). We applied the drought operation rule to reservoir storage rate in extreme 2017 spring drought year,the one of the most climatologically driest spring seasons over the 1961-2021 period of record. We counted frequency of each drought criteria whichare existing and developed operation rules to compare drought operation rule determining the actual drought conditions during 2016-2017. As a resultof comparing the current standard and the percentile standard with SPI6, the percentile standard showed severe-level when SPI6 showed severe droughtcondition, but the current standard fell short of the results. Results can be used to improve the drought operation criteria of drought events that betterreflects the actual drought conditions in agricultural reservoirs.
Abstract
Currently, the operation rule of agricultural reservoirs in case of drought events follows the drought forecast warning standard of agricultural watersupply. However, it is difficult to preemptively manage drought in individual reservoirs because drought forecasting standards are set according toaverage reservoir storage ratio such as 70%, 60%, 50%, and 40%. The equal standards based on average water level across the country could not reflectthe actual drought situation in the region. In this study, we proposed the improvement of drought operation rule for agricultural reservoirs based onthe percentile approach using past water level of each reservoir. The percentile approach is applied to monitor drought conditions and determine droughtcriteria in the U.S. Drought Monitoring (USDM). We applied the drought operation rule to reservoir storage rate in extreme 2017 spring drought year,the one of the most climatologically driest spring seasons over the 1961-2021 period of record. We counted frequency of each drought criteria whichare existing and developed operation rules to compare drought operation rule determining the actual drought conditions during 2016-2017. As a resultof comparing the current standard and the percentile standard with SPI6, the percentile standard showed severe-level when SPI6 showed severe droughtcondition, but the current standard fell short of the results. Results can be used to improve the drought operation criteria of drought events that betterreflects the actual drought conditions in agricultural reservoirs.
참고문헌 (25)
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