Recent heavy rainfall during the flood season have made water resource management even more challenging. Despite similar annual precipitation, the rainfall is focused in the flood season resulting severe drought in the dry season. To address this issue, the Korea Water Resources Corporation (K-water) has developed the K-water Disaggregation Method (KDM) to estimate inflow into reservoirs, taking into account regional characteristics for dam operation. KDM calculates monthly drought inflow for the following years based on the relationship between the annual and monthly inflow frequency analysis results. However, since KDM provides only a single scenario for drought inflow, there are instances where it deviates significantly from the observed one. To overcome this limitation, this study proposes the use of a disaggregation model to more effectively estimate drought inflow while considering its uncertainty. This approach allows for the consideration of a wide range of the drought inflow scenarios, rather than relying on a single scenario, and can contribute effectively to dam operation. This study compared drought inflow scenarios generated from two different methods and evaluated the drought response capabilities when operating the dam based on theses scenarios. The evaluation of drought response capabilities utilized Supply days (S-day) and dam storage performance measures. The results of the evaluation indicated that dam operating using KDM distorted potential drought inflow scenarios for the target dam. Therefore, this study concluded that operating dams by considering various drought inflow scenarios would be more effective, especially during the dry season.
