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Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties

Author

Listed:
  • Xinyu Dong

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China)

  • Peng Yuan

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Yonghui Song

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China)

  • Wenxuan Yi

    (School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China)

Abstract

Non-Point Source Pollution (NPS) caused by polluted and untreated stormwater runoff discharging into water bodies has become a serious threat to the ecological environment. Green infrastructure and gray infrastructure are considered to be the main stormwater management measures, and the issue of their cost-effectiveness is a widespread concern for decision makers. Multi-objective optimization is one of the most reliable and commonly used approaches in solving cost-effectiveness issues. However, many studies optimized green and gray infrastructure under an invariant condition, and the additional benefits of green infrastructure were neglected. In this study, a simulation-optimization framework was developed by integrated Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm (NSGA-II) to optimize green and gray infrastructure for NPS control under future scenarios, and a realistic area of Sponge City in Nanchang, China, was used as a typical case. Different levels of additional benefits of green infrastructure were estimated in the optimizing process. The results demonstrated that green-gray infrastructure can produce a co-benefit if the green infrastructure have appropriate Value of Additional Benefits (VAB), otherwise, gray infrastructure will be a more cost-effectiveness measure. Moreover, gray infrastructure is more sensitive than green infrastructure and green-gray infrastructure under future scenarios. The findings of the study could help decision makers to develop suitable planning for NPS control based on investment cost and water quality objectives.

Suggested Citation

  • Xinyu Dong & Peng Yuan & Yonghui Song & Wenxuan Yi, 2021. "Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7586-:d:595686
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    References listed on IDEAS

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    1. Izabela Godyń & Marek Bodziony & Agnieszka Grela & Krzysztof Muszyński & Justyna Pamuła, 2022. "Determination of Pollution and Environmental Risk Assessment of Stormwater and the Receiving River, Case Study of the Sudół River Catchment, Poland," IJERPH, MDPI, vol. 20(1), pages 1-32, December.

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