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Stormwater runoff reduction simulation model for urban flood restoration in coastal area

Author

Listed:
  • Kihwan Song

    (Korea University)

  • Min Kim

    (Korea University)

  • Han-Min Kang

    (Korea Institute of Green Infrastructure Co., Ltd.)

  • Eun-Kyung Ham

    (Korea Institute of Green Infrastructure Co., Ltd.)

  • Junsung Noh

    (Sejong University)

  • Jong Seong Khim

    (Seoul National University)

  • Jinhyung Chon

    (Korea University)

Abstract

Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities.

Suggested Citation

  • Kihwan Song & Min Kim & Han-Min Kang & Eun-Kyung Ham & Junsung Noh & Jong Seong Khim & Jinhyung Chon, 2022. "Stormwater runoff reduction simulation model for urban flood restoration in coastal area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2509-2526, December.
  • Handle: RePEc:spr:nathaz:v:114:y:2022:i:3:d:10.1007_s11069-022-05477-7
    DOI: 10.1007/s11069-022-05477-7
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    References listed on IDEAS

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    1. Okmyung Bin & Jamie Brown Kruse & Craig E. Landry, 2008. "Flood Hazards, Insurance Rates, and Amenities: Evidence From the Coastal Housing Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(1), pages 63-82, March.
    2. S. Shahapure & T. Eldho & E. Rao, 2010. "Coastal Urban Flood Simulation Using FEM, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3615-3640, October.
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    Cited by:

    1. Felipe Teixeira Dias & Gisele Mazon & Priscila Cembranel & Robert Birch & José Baltazar Salgueirinho Osório de Andrade Guerra, 2022. "Land Use and Global Environmental Change: An Analytical Proposal Based on A Systematic Review," Land, MDPI, vol. 12(1), pages 1-14, December.
    2. Kihwan Song & Youngsun Seok & Jinhyung Chon, 2023. "Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect," IJERPH, MDPI, vol. 20(4), pages 1-19, February.

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