主催: 水文・水資源学会
会議名: 水文・水資源学会2024年度研究発表会
開催日: 2024/09/10 - 2024/09/12
This study addresses the critical need for accurate flash flood prediction by addressing the issue of equifinality in rainfall-runoff modeling. We compare multiple parameter sets in the 1K-DHM model, evaluating traditional metrics like NSE and exploring slope-runoff characteristics. In a case study in the Shigaraki experimental catchment, we find variability in the q-h relationship and surface flow observations among parameter sets with similar NSE values. By incorporating these additional metrics, we enhance flood prediction model reliability and efficiency, providing insights for parameter selection strategies and model robustness.