A cooperative search algorithm-based flood forecasting framework: application across diverse Chinese catchments

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 11, 2025

Flood forecasting is crucial for disaster mitigation, particularly in regions prone to flash floods. This study introduces a novel flood framework by coupling the Geomorphological Instantaneous Unit Hydrograph (GIUH) with Xinanjiang model and optimizing parameters using Cooperation Search Algorithm (CSA). Applied across six diverse Chinese catchments, significantly improved computational efficiency accuracy. Key findings demonstrate that: 1) CSA achieved high Nash-Sutcliffe Efficiency (NSE >0.9) only 16 optimization trials on average, outperforming SCE-UA algorithms; 2) The performed exceptionally data-sparse regions, achieving NSE values >0.9 even minimal datasets; 3) Enhanced runoff routing via GIUH enabled accurate simulation of extreme rainfall events. These results highlight framework’s potential operational management globally. Future research will expand validation datasets explore applications varied hydrological climatic conditions.

Language: Английский

Climate Change Impacts on River Hydraulics: A Global Synthesis of Hydrological Shifts, Ecological Consequences, and Adaptive Strategies

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(2)

Published: May 6, 2025

Language: Английский