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A Framework for Quantifying the Damage to Residential Facilities Caused by Typhoon Changes

태풍 변화로 인한 주거시설 피해 정량화 프레임 워크 제안

  • Kim, Ji-Myong (Department of Architectural Engineering, Mokpo National University) ;
  • Son, Seunghyun (Department of Architectural Engineering, Mokpo National University)
  • Received : 2023.09.06
  • Accepted : 2023.10.26
  • Published : 2023.12.20

Abstract

This research aims to investigate the alterations in typhoon patterns attributable to climate change and to quantitatively assess the risk of damage to residential structures. The increasing prevalence of climate anomalies and severe weather events, a consequence of global warming, is causing escalating damage globally. Notably, numerous countries are facing substantial devastation due to shifts in typhoon trajectories. Despite this, there exists a gap in empirical research quantifying the impact of these changes on building integrity and the associated risk alterations driven by climate change. In addressing this gap, our study analyzes the frequency and intensity of typhoons impacting Korea, examining the evolution of these meteorological phenomena. Furthermore, we employ the Korean Typhoon Vulnerability Function for residential facilities to quantify the altered risk posed by these changing patterns. The outcomes of this study provide the private sector with essential data to formulate diverse scenarios and business strategies in response to the escalating risks of typhoon-related damage. Additionally, it equips governmental bodies with the necessary insights to develop comprehensive risk management strategies to mitigate the effects of future typhoons.

본 연구의 목적은 기후변화로 인한 태풍 변화에 대해 알아보고, 이로 인한 주거시설의 피해위험을 정량화하는 것이다. 전 세계적으로 지구온난화로 인한 기후이상과 악기상이 급증하고 있으며, 이로 인한 피해가 급증하고 있다. 특히, 많은 국가에서는 태풍의 패턴 변화로 인해 극심한 피해를 경험하고 있다. 그러나 기후변화에 따른 태풍의 변화와 변화한 위험으로 인한 건물 피해에 대한 실증적 정량화 연구는 부족하다. 따라서, 본 연구에서는 태풍의 변화를 알아보기 위해 우리나라에 영향을 미친 태풍의 빈도와 강도를 분석해 보고, 주거시설의 한국형 태풍 취약도 함수를 활용하여 태풍의 위험변화를 정량화하였다. 본 연구를 통해 민간에서는 기후변화로 인한 태풍 위험의 증가에 따른 다양한 태풍 피해 시나리오 도출 및 비즈니스 모델 도출이 가능하며, 정부에서는 다양한 태풍 대비 위험 관리 전략을 수립할 수 있을 것이다.

Keywords

Acknowledgement

This research was funded by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2022R1F1A106314112). This research was supported by a grant from the National Research Foundation of Korea by Ministry of Science, ICT and Future Planning(NRF-2021R1C1C2091677).

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