Water, Journal Year: 2025, Volume and Issue: 17(7), P. 964 - 964

Published: March 26, 2025

Under the context of global climate change, floods are one major challenges facing urban development. Based on resilience theory, this study proposed an evaluation method to accurately assess flooding prevention and control systems (FPCs), integrating both attribute (AR) functional (FR). First, organized FPC attributes from perspective waterlogging generation elimination processes using foundational data area, it established a indicator system. The Entropy Weight Method (EWM) was applied calculate weights, Technique for Order Preference by Similarity Ideal Solution (TOPSIS) used values, ultimately deriving (AR). Subsequently, performance during actual operations evaluated scenario simulation based hydrodynamic model results, FR determined. Finally, spatial correlation analysis AR conducted identify areas with weak resilience. This developed that considers system central area Beijing as case flood results indicated most influential factors affecting green space percentage (GSP), average slope, drainage capacity (DC), their weights calculated 0.17, 0.137, 0.205, respectively. Among resistance, absorption, recovery, absorption had greatest influence, weight 0.447. Moran’s I indices were 0.66 0.49, respectively, indicating clustering, although clustering locations differed. There between FR, enabling more precise identification high low However, trends not entirely consistent across different types sub-districts due differences in methods influence various indicators.

Language: Английский