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Impacts of Rainstorm Characteristics on Runoff Quantity and Quality Control Performance Considering Integrated Green Infrastructures

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  • Dongqing Zhang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    College of Hydrology and Water Resources, Hohai University, No.1 Xikang Road, Nanjing 210098, China)

  • Chao Mei

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Xiangyi Ding

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Jiahong Liu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Xiaoran Fu

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Jia Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Dong Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Green infrastructure (GI) has been implemented globally to mitigate the negative effects of urbanization. GI also regulates the urban runoff process and reduces non-point source pollution by intercepting initial runoff pollution and stormwater storage. In this paper, the impacts on GI were quantified and analyzed, considering eight designed storms with a 24 h duration and eight others with a 2 h duration with the combination of two characteristics (return period and peak time). The runoff process and reduction effect of pollutants were simulated for GI combinations (green roofs, vegetative swale, bio-retention units, and permeable pavement) using the Storm Water Management Model, taking the Dongshan campus of Shanxi University as an example case study. The results show that the GI combination can reduce runoff, suspended solids (SS), and chemical oxygen demand (COD). For short- and long-duration rainstorms, the average reduction rates of runoff, SS, and COD were 39.7%, 38.8%, and 39.6%, and 36.5%, 31.7%, and 32%, respectively, indicating its better effectiveness for short-duration storms. The GI’s effect was more sensitive during the short-duration storms owing to the greater absolute value of the 2 h elastic coefficients versus that of the 24 h, and the best reduction effect was observed with a rainfall peak coefficient of 0.1. These results provide a scientific reference for GI planning and implementation under a changing climate in the future.

Suggested Citation

  • Dongqing Zhang & Chao Mei & Xiangyi Ding & Jiahong Liu & Xiaoran Fu & Jia Wang & Dong Wang, 2022. "Impacts of Rainstorm Characteristics on Runoff Quantity and Quality Control Performance Considering Integrated Green Infrastructures," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11284-:d:910483
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    References listed on IDEAS

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    1. Renato Monteiro & José Carlos Ferreira & Paula Antunes, 2022. "Green Infrastructure Planning Principles: Identification of Priorities Using Analytic Hierarchy Process," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    2. Merve Ersoy Mirici, 2022. "The Ecosystem Services and Green Infrastructure: A Systematic Review and the Gap of Economic Valuation," Sustainability, MDPI, vol. 14(1), pages 1-16, January.
    3. Mao, Xuhui & Jia, Haifeng & Yu, Shaw L., 2017. "Assessing the ecological benefits of aggregate LID-BMPs through modelling," Ecological Modelling, Elsevier, vol. 353(C), pages 139-149.
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