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Capacity Assessment of Urban Green Space for Mitigating Combined Sewer Overflows in the Tokyo Metropolitan Area

Author

Listed:
  • Ryohei Ogawa

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

  • Ye Zhang

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

  • Vouchlay Theng

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

  • Zhongyu Guo

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

  • Manna Wang

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

  • Chihiro Yoshimura

    (Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8552, Japan)

Abstract

Among the countermeasures against combined sewer overflow (CSO), urban green space (UGS) has been proven effective. However, few studies have examined the effects of UGS on CSO at the municipal scale. Therefore, this study aimed to develop a novel method for estimating the relation of the area of UGS to CSO based on a case study in the Tokyo metropolitan area, which includes 10 sewersheds. This method integrates surface runoff modeling, sewer network analysis, and response analysis for estimating CSO and its response to the UGS proportion in each sewershed. This method is based on public data of topographic features, land-related data, and rainfall characteristics. Specifically, the CSO discharge is estimated to be the difference between the rainwater inflow to a terminal treatment plant and the maximum capacity of the sewer systems in each sewershed. The results revealed that the amount of CSO increases exponentially with the intensity of rainfall. In addition, a response analysis showed that the increase in UGS proportion would mitigate CSO in all sewersheds, particularly in the case where the UGS proportion increased from 5% to 10%. Overall, the present method allows us to estimate CSO in relation to rainfall pattern and the distribution of UGS in a sewershed without actual CSO records.

Suggested Citation

  • Ryohei Ogawa & Ye Zhang & Vouchlay Theng & Zhongyu Guo & Manna Wang & Chihiro Yoshimura, 2023. "Capacity Assessment of Urban Green Space for Mitigating Combined Sewer Overflows in the Tokyo Metropolitan Area," Land, MDPI, vol. 12(5), pages 1-16, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:993-:d:1136957
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    References listed on IDEAS

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    1. Byungsun Yang & Dong Kun Lee, 2021. "Planning Strategy for the Reduction of Runoff Using Urban Green Space," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    2. Byungsun Yang & Dongkun Lee, 2021. "Urban Green Space Arrangement for an Optimal Landscape Planning Strategy for Runoff Reduction," Land, MDPI, vol. 10(9), pages 1-12, August.
    3. Sabina Bhandari & Chuanrong Zhang, 2022. "Urban Green Space Prioritization to Mitigate Air Pollution and the Urban Heat Island Effect in Kathmandu Metropolitan City, Nepal," Land, MDPI, vol. 11(11), pages 1-15, November.
    4. Maragno, Denis & Gaglio, Mattias & Robbi, Martina & Appiotti, Federica & Fano, Elisa Anna & Gissi, Elena, 2018. "Fine-scale analysis of urban flooding reduction from green infrastructure: An ecosystem services approach for the management of water flows," Ecological Modelling, Elsevier, vol. 386(C), pages 1-10.
    5. Peihao Song & Gunwoo Kim & Audrey Mayer & Ruizhen He & Guohang Tian, 2020. "Assessing the Ecosystem Services of Various Types of Urban Green Spaces Based on i-Tree Eco," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    6. Wudong Zhao & Liwei Zhang & Xupu Li & Lixian Peng & Pengtao Wang & Zhuangzhuang Wang & Lei Jiao & Hao Wang, 2022. "Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China," Land, MDPI, vol. 11(12), pages 1-20, December.
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    Cited by:

    1. Anahita Azadgar & Lucyna Nyka & Stefano Salata, 2024. "Advancing Urban Flood Resilience: A Systematic Review of Urban Flood Risk Mitigation Model, Research Trends, and Future Directions," Land, MDPI, vol. 13(12), pages 1-26, December.

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