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논문 기본 정보

자료유형
학술저널
저자정보
방나경 (한경대학교) 남원호 (한경대학교) 신지현 (한경대학교) 김한중 (한경대학교) 강구 (이케이테크놀러지) 백승출 (한국농어촌공사) 이광야 (한국농어촌공사 수자원기획처 통합물관리지원단)
저널정보
한국농공학회 한국농공학회논문집 한국농공학회논문집 제62권 제4호
발행연도
2020.1
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1 - 12 (12page)

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초록· 키워드

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The extreme 2017 spring drought affected a large portion of South Korea in the Southern Gyeonggi-do and Chungcheongnam-do districts. This droughtevent was one of the climatologically driest spring seasons over the 1961-2016 period of record. It was characterized by exceptionally low reservoirwater levels, with the average water level being 36% lower over most of western South Korea. In this study, we consider drought response methodsto alleviate the shortage of agricultural water in times of drought. It could be to store water from a stream into a reservoir. There is a cyclical methodfor reusing water supplied from a reservoir into streams through drainage. We intended to present a decision-making plan for water supply based onthe calculation of the quantity of water supply and leakage. We compared the rainfall-runoff equation with the TANK model, which is a long-termrun-off model. Estimations of reservoir inflow during non-irrigation seasons applied to the Madun, Daesa, and Pungjeon reservoirs. We applied therun-off flow to the last 30 years of rainfall data to estimate reservoir storage. We calculated the available water in the river during the non-irrigationseason. The daily average inflow from 2003 to 2018 was calculated from October to April. Simulation results show that an average of 67,000 tonsof water is obtained during the non-irrigation season. The report shows that about 53,000 tons of water are available except during the winter seasonfrom December to February. The Madun Reservoir began in early October with a 10 percent storage rate. In the starting ratio, a simulated rate of 4K, 6 K, and 8 K tons is predicted to be 44%, 50%, and 60%. We can estimate the amount of water needed and the timing of water pump operationsduring the non-irrigation season that focuses on fresh water reservoirs and improve decision making for efficient water supplies.

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