Urban Stormwater Resilience Assessment Method Based on Cloud Model and TOPSIS

Area of Science:

• Environmental Science
• Urban Planning
• Disaster Management

Background:

• Urban areas face increasing challenges from stormwater disasters.
• Existing methods for evaluating urban storm resilience are often qualitative or lack comprehensive quantitative metrics.
• Improving urban stormwater resilience is critical for sustainable development and public safety.

Purpose of the Study:

• To develop a scientifically sound and quantitative framework for evaluating urban storm resilience.
• To establish an indicator system for urban resilience assessment under stormwater disaster scenarios.
• To propose a practical model for measuring and improving urban stormwater resilience.

Main Methods:

• Resilience theory, focusing on resistance, recovery, and adaptability, was applied to construct the indicator system.
• The Delphi method and cloud model were employed for indicator weight analysis.
• A cloud model and approximate ideal solution ranking method were used to build the urban stormwater resilience evaluation model.
• Fuzzy description was utilized to assign quantitative values to qualitative indicators.

Main Results:

• A comprehensive indicator system for urban storm resilience was established.
• A quantitative evaluation model integrating cloud model and approximate ideal solution ranking was developed.
• The model successfully assigned quantitative values to qualitative indicators, enabling accurate measurement of urban stormwater resilience.
• Case analysis validated the feasibility and effectiveness of the proposed evaluation model.

Conclusions:

• The developed theory and method offer significant guiding value for enhancing urban stormwater resilience.
• The quantitative approach provides a robust tool for city planners and policymakers.
• This research contributes to a more scientific and data-driven approach to urban disaster resilience.