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Cellular automata based framework for evaluating mitigation strategies of sponge city
Yuntao Wang1, Zhen Liu2, Guoqiang Wang1
1Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China.
The Science of the Total Environment
|July 18, 2021
Summary
Developing cost-effective urban flood management strategies is crucial for sustainable cities. This study presents a framework using cellular automata and cost-benefit analysis to evaluate sponge city mitigation measures, aiding decision-making for flood risk reduction.
Area of Science:
- Environmental Science
- Urban Planning
- Hydrology
Background:
- Urban surface water flooding is escalating due to climate change and urbanization, posing significant challenges to sustainable urban development.
- Effective urban flood management strategies are essential, yet cost-effectiveness evaluations for mitigation approaches are limited.
- China's "sponge city" initiative aims to improve urban water management and mitigate flooding, necessitating economic assessments of its strategies.
Purpose of the Study:
- To develop and demonstrate an evaluation framework for assessing the cost-effectiveness of urban flood mitigation strategies within the context of sponge city construction.
- To provide a method for selecting economically efficient approaches to alleviate urban surface water flooding.
- To support robust decision-making in implementing sponge city initiatives.
Main Methods:
- A novel evaluation framework integrating cellular automata (CA) modeling and cost-benefit analysis was developed.
- A two-dimensional CA-based model was employed to simulate urban surface water flooding dynamics.
- Mitigation scenarios were generated using green roofs, permeable pavements, and bio-retention measures, applied to a case study area.
Main Results:
- The developed framework successfully identified cost-effective mitigation strategies for sponge city construction.
- The simulation results demonstrated the framework's capability to support informed decision-making for flood risk management.
- The spatial distribution of implemented mitigation strategies significantly influenced their effectiveness in reducing urban flood risk.
Conclusions:
- The proposed framework offers valuable insights for developing economically efficient mitigation strategies in sponge city projects.
- This approach aids in optimizing the selection and placement of flood mitigation measures for enhanced urban resilience.
- The study underscores the importance of integrated modeling and economic analysis for effective urban flood management.
