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A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios

Author

Listed:
  • Zixiang Xu

    (The College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Jiaqing Cheng

    (The College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work and should be considered co-first authors.)

  • Haishun Xu

    (The College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China)

  • Jining Li

    (China Railway 22nd Bureau Group Real Estate Development Co., Ltd., Beijing 100043, China)

Abstract

Stormwater resource utilization is an important function of coupled grey–green infrastructure (CGGI) that has received little research focus, especially in multi-objective optimization studies. Given the complex water problems in areas with contamination-induced water shortages, it is important to incorporate more objectives into optimization systems. Therefore, this study integrated economic performance, hydrological recovery, water quality protection, and stormwater resource utilization into an optimization framework based on the non-dominant sorting genetic algorithm III (NSGA-Ⅲ). A sponge city pilot area with contamination-induced water shortages in the Yangtze River Delta was considered, optimizing four objectives under different future multi-dimensional scenarios. The results showed a time series and scenarios composed of shared socioeconomic pathways and representative concentration pathways (SSP-RCP scenarios) which, together, affected future climate change and the benefits of a CGGI. In the near and middle periods, the SSP126 scenario had the greatest influence on stormwater management, whereas, in the far period, the SSP585 scenario had the greatest influence. The far period had the greatest influence under three SSP-RCP scenarios. Under the combined influence of SSP-RCP scenarios and a time series, the SSP585-F scenario had the greatest impact. Specific costs could be used to achieve different and no stormwater-resource utilization effects through different configurations of the CGGI. This provided various construction ideas regarding CGGIs for areas with contamination-induced water shortages.

Suggested Citation

  • Zixiang Xu & Jiaqing Cheng & Haishun Xu & Jining Li, 2024. "A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios," Land, MDPI, vol. 13(11), pages 1-24, November.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1932-:d:1522588
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