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Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect

Author

Listed:
  • Kihwan Song

    (OJEong Resilience Institute, Korea University, Seoul 02841, Republic of Korea)

  • Youngsun Seok

    (Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

  • Jinhyung Chon

    (Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea)

Abstract

Floods in coastal areas are caused by a range of complex factors such as typhoons and heavy rainfall, and this issue has become increasingly serious as interference has occurred in the social-ecological system in recent years. Given the structural limitations and high maintenance costs of the existing gray infrastructure, the need for a nature-based restoration plan utilizing green infrastructure has been raised. The purpose of this study is to simulate the restoration process through the quantification of green infrastructure effects along with resilience in disaster-prone coastal areas, and to present it as nature-based restoration planning. For this purpose, first, a disaster-prone area was derived from Haeundae-gu, Busan, Republic of Korea, which was affected by typhoons. In order to simulate the runoff from typhoon “Chaba” in the target area and the effects of reducing the runoff of green infrastructure, relevant data was collected and a model constructed. Finally, the effects of the green infrastructure as applied to the disaster-prone area were quantified by means of resilience and a nature-based restoration plan was presented. As a result of this study, first, the runoff reduction effect was greatest when the maximum biotope area ratio of 30% was applied to the artificial ground. In the case of the green roof, the effect was the greatest 6 h following the typhoon passing through, and the effects of the infiltration storage facility was greater 9 h following the same. Porous pavement exhibited the lowest runoff reduction effect. In terms of resilience, it was found that the system was restored to its original state after the biotope area ratio of 20% was applied. This study is significant in that it analyzes the effects of green infrastructure based upon the concept of resilience and connects them to nature-based restoration planning. Based on this, it will be provided as an important tool for planning policy management to effectively respond to future coastal disasters.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3096-:d:1064016
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    References listed on IDEAS

    as
    1. Wonmin Sohn & Jun-Hyun Kim & Ming-Han Li, 2017. "Low-impact development for impervious surface connectivity mitigation: assessment of directly connected impervious areas (DCIAs)," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(10), pages 1871-1889, October.
    2. 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.
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