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A case study: bivariate drought identification on the Andong dam, South Korea

机译:案例研究:韩国安东坝的双龙干旱鉴定

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Identifying hydrological drought in reservoirs is a significant challenge in water resource management. In South Korea, drought in reservoirs has historically been identified and managed through measuring storage amount. However, drought identification in accordance with storage amount has a possibility of failure to secure enough time for proper drought countermeasures. This study aims to suggest supplementary criteria for quantitatively identifying drought based on storage amount and water balance-specifically to allow more time to implement countermeasures against drought on the Andong dam. The standardized balanced index (SBI) was newly suggested to consider dry/wet conditions of dam, and the Standardized storage volume index (SSVI) was employed to consider storage amount. The proper duration of each index was estimated to be 4-month for SBI and 9-month for SSVI. A bivariate drought identification diagram using both index and copula function was derived and applied to the Andong dam. The diagram identified drought to occur 3.7 months earlier than the existing criteria which used storage amount to identify drought, and showed applicability for supplementary criteria.
机译:识别水库水文干旱在水资源管理中是一个重大挑战。在韩国,通过测量储存量来确定和管理水库干旱。然而,根据储存量的干旱鉴定有可能未能获得足够的时间以进行适当的干旱对策。本研究旨在提出根据储存量和水平衡定量识别干旱的补充标准 - 特别是在进行更多时间来对Andong大坝的干旱实施对策。新建议标准化平衡指数(SBI)考虑大坝的干/湿条件,并采用标准化储存卷指数(SSVI)来考虑储存量。每个索引的适当持续时间估计为SBI和9个月的SSVI为4个月。使用索引和Copula功能的双变型干旱识别图源于和应用于Andong Dam。该图确定了比现有标准更早的干旱发生3.7个月,用于识别干旱的储存金额,并为补充标准显示适用性。

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