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The Appropriateness of Probabilistic Rainfall of Disaster Impact Assessment System in Jeju Island

재해영향평가 적용 확률강우량의 적정성에 관한 연구 (제주도를 중심으로)

  • Hong-Jun Jo (Department of Civil Engineering, Jeju National University) ;
  • Seung-Hyun Kim (Jeju Special Self-Governing Provincial Council Environment & Urban Affairs' Committe) ;
  • Kwon-Moon Ko (Jeju Regional Headquarter, Korea Rual Community Corporation) ;
  • Dong-Wook Lee (Department of Civil Engineering, Jeju National University)
  • 조홍준 (제주대학교 토목공학과 ) ;
  • 김승현 (제주특별자치도 도의회 ) ;
  • 고권문 (한국농어촌공사 제주지부) ;
  • 이동욱 (제주대학교 토목공학과 )
  • Received : 2024.05.07
  • Accepted : 2024.06.20
  • Published : 2024.06.30

Abstract

The disaster impact assessment system was introduced in 2005 as a disaster prevention procedure for comprehensive and systematic developmental projects. However, according to the 'Practical Guidelines for Disaster Impact Assessment', Jeju Island's unique hydrogeological features necessitate the calculation of isohyetal-based probabilistic rainfall, which can reflect altitude, when estimating probabilistic rainfall for flood volume determination, rather than using conventional methods. Despite Jeju Island being centered around Hallasan, there are three Automatic Weather Stations (AWS) located at the summit of Hallasan, making weather stations denser than in other cities and provinces. Therefore, it is judged that there would be no difficulty in applying conventional methods, such as utilizing the probabilistic rainfall data from the weather stations or employing the Thiessen method, to estimate flood volumes for small-scale project areas. Accordingly, this study conducts a comparative analysis of the impact of applying general probabilistic rainfall from weather stations and isohyetal-based probabilistic rainfall in site in the context of Jeju Island's disaster impact assessment system.

사전재해영향성 평가제도는 재해예방 차원의 절차로서 종합적이고 체계적인 개발사업을 위하여 2005년 도입되었다. 하지만, '재해영향성평가 실무지침'에 의거 제주도의 경우 수문지질학적 특성으로 인하여 홍수량 산정에 따른 확률강우량 산정 시 일반적인 방법이 아닌 고도반영이 가능한 등우선에 의한 확률강우량을 산정하도록 명시되어 있다. 하지만, 제주도의 경우 한라산을 중심으로 형성되어 있지만, 한라산 정상에 무인기상관측소(AWS)가 3개소 위치하고 있으며, 타 시·도 보다 기상관측소가 조밀하게 위치하고 있어 소규모 사업지구의 홍수량 산정 시 우량관측소의 확률강우량을 적용하거나 Thiessen 방법을 이용하는 일반적인 방법을 적용하더라도 무리가 없을것으로 판단된다. 따라서, 본 연구는 제주도내 사전재해영향성 평가제도의 적용에 있어 일반적인 우량관측소의 확률강우량과 등우선에의한 지점확률강우량을 비교·분석하여 그에 따른 영향성을 검토하였다.

Keywords

Acknowledgement

This research was supported by the 2023 scientific promotion program funded by Jeju National University.

References

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  2. Lee, S.C. 2009. Regional variability analysis of probabilistic rainfall due to climate change. Master of civil and environmental engineering, Dankuk University, pp. 3-19. (in Korea).
  3. MOIS(Ministry of public administration and security). 2023. Practice guidelines of Disaster Impact Assessment System, pp. III-19 - III-25