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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Multi-stage optimization framework for synergetic grey-green infrastructure in response to long-term climate
Shiqi Zhou1, Haifeng Diao2, Jiahui Wang2
1College of Design and Innovation, Tongji University, Shanghai 200093, China.
Water Research
|January 12, 2025
Summary
Optimized Synergetic Grey-Green Infrastructure (SGGI) effectively manages urban stormwater under climate change. This approach reduces costs and enhances hydraulic reliability compared to traditional grey infrastructure (GREI).
Area of Science:
- Environmental Engineering
- Urban Hydrology
- Climate Change Adaptation
Background:
- Urbanization and climate change exacerbate extreme rainfall and runoff, threatening urban water security.
- Existing stormwater management often focuses on single-event evaluations of grey infrastructure (GREI) or green infrastructure (GI) separately.
- There's a critical gap in understanding long-term climate change impacts on infrastructure performance.
Purpose of the Study:
- To introduce a multi-stage optimization framework for Synergetic Grey-Green Infrastructure (SGGI) layouts.
- To evaluate SGGI performance based on life cycle cost (LCC) and hydraulic reliability under various climate change scenarios (Shared Socio-economic Pathways).
- To provide adaptive strategies for urban stormwater management resilient to climate variability.
Main Methods:
- Developed a multi-stage optimization framework for SGGI using graph theory and genetic algorithms.
- Assessed infrastructure performance under different climate change scenarios (SSP2-4.5, SSP5-8.5).
- Conducted a case study in Shenzhen, China, comparing SGGI with GREI and evaluating different adaptation strategies (CGG vs. COG).
Main Results:
- Climate scenarios showed significant phase-specific variations in Shenzhen's annual precipitation.
- Optimized SGGI achieved substantial LCC savings (6.6% centralized, 4.7% decentralized) compared to GREI.
- SGGI adapted by shifting from permeable pavements to bioretention cells for extreme rainfall; CGG strategy outperformed COG in LCC and reliability.
Conclusions:
- Multi-stage optimization is crucial for enhancing the cost-effectiveness and resilience of integrated grey-green infrastructure.
- Adaptive SGGI strategies are vital for responding to long-term climate variability in urban environments.
- The study offers valuable insights for designing robust urban stormwater management systems.
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