Sponge facility space layout optimization method for urban community rainfall flood regulation and storage
By constructing a storage and regulation objective function and a multi-objective optimization model, the spatial layout of sponge city facilities is optimized, which solves the problem of lack of quantitative target identification and systematic layout in sponge city construction. It realizes the quantitative design and whole-process optimization of facility layout, and improves storage and regulation efficiency and spatial adaptability.
Patent Information
- Application Number
- CN202510987352.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-17
- Publication Date
- 2025-11-18
AI Technical Summary
The existing sponge city construction lacks a quantitative storage target identification mechanism for future design, the facility layout fails to systematically consider the heterogeneity of urban space and the integrity of the ecological pattern, and the evaluation method is limited to the comparison of single-objective effects after completion, lacking whole-process optimization design and cost-benefit collaborative analysis.
By comprehensively identifying stormwater storage targets, evaluating facility suitability, calculating storage capacity per unit area, and solving for the layout area, a storage objective function is constructed. Spatial priority grid random sampling is introduced to generate an initial layout. The NSGA-II algorithm is used to optimize the facility configuration structure, and the TOPSIS method is used to select the optimal solution, thus realizing a systematic and quantitative design of sponge city facilities from target identification to layout optimization.
It has improved the storage efficiency and spatial adaptability of sponge facilities, solved the problems of difficulty in achieving the total stormwater control rate and lack of quantitative guidance for facility deployment in the construction of sponge cities, and has good replicability and scalability.