산불확산 예측 시뮬레이션을 통한 산불 진화선 구축 방향 고찰 - 2022 울진-삼척 산불 사례 -
Exploring Directions for Establishing Forest Fire Containment Lines through Forest Fire Spread Prediction Simulations - A Case Study of 2022 Uljin-Samcheok Wildfire -
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참고문헌
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초록
본 연구에서는 2022 울진-삼척 산불에 대하여 산불 확산 시뮬레이션을 통해 시간대별 산불 확산 피해를예측하였다. 산불 진화에 따른 산불 확산 면적과 시뮬레이션에 의한 확산면적을 비교 분석을 통해 효율적인 산불 진화선 구축 방법에 대하여 고찰하였다. 시뮬레이션 결과 발화지점의 주변을 중심으로 험준한지형과 침엽수인 소나무림으로 구성되어 산불에 취약한 구조이고, 산불 발생 초기에 강한 바람의 영향으로 인하여 대형 산불로 확산되었다. 실제 산불 대응이 없었을 경우에는 29시간 만에 102.3km2의 산불이확산되어 국가기반시설인 원자력 발전소의 피해가 예상됨에 따라 대규모의 사회경제적 피해가 발생하였을 것이다. 산림 헬기를 이용하여 산불을 억제하는 것이 효율적이지만, 대형 산불의 경우 도로를 중심으로 지상진화의 경계선을 설정하여 인명 및 국가중요시설을 보호할 필요가 있다. 일반국도, 지방도를중심으로 넓은 면적 단위로 진화구획을 설정하고 임도의 도로망을 따라 상세 진화선을 구축해야 한다.
Abstract
In this study, the extent of forest fire damage over time was predicted through numerical simulations for the 2022 Uljin-Samcheok forest fire. Also, the area of suppressed forest fire spread through firefighting efforts was checked and compared with the simulated forest fire spread area. Furthermore, a discussion was conducted regarding the establishment method of forest fire containment lines. The simulation results showed that the area is vulnerable to forest fires because it is composed of rugged terrain and pine forests. If there had been no response to the forest fire, it is estimated that approximately 102.3 km² of forest area would have been affected within 29 hours, resulting in significant socio-economic losses due to damage to the nuclear power plant. In the event of large forest fires, it is necessary to establish containment lines along roads to protect lives and critical national infrastructure. Moreover, it is advisable to organize these containment lines into two stages: larger sections utilizing national and local roads, and smaller sections utilizing provincial and forest roads.
참고문헌 (13)
- Concepts and Interpreted Examples in Advanced Fuel Modeling. USDA Forest Service, "Burgan, R. E", ~, pp.General Technical Report. INT-238 (1987)
- Finney, M. A., "Modeling the Spread and Behavior of Prescribed Natural Fires", Proceedings of the 12th International Conference. Fire and Foerst Meteorology (1994)
- Harry, Mitchell, "Integrating Wildfire Spread and Evacuation Times to Design Safe Triggers: Application to Two Rural Communities Using PERIL Model", Safety Science, 157, pp.1~15 (2023)[DOI]
- Jeremy, C. Larsen, "Evaluating Dynamic Wildfire Evacuation Trigger Buffers Using the 2003 Cedar Fire", Applied Geography, 31(1), pp.12~19 (2011)
- Jingjing, Sun, "Facing the Wildfire Spread Risk Challenge: Where Are We Now and Where Are We Going?", Fire, 6(6), pp.228~ (2023)[DOI]
- Kim, Nam Gyun, "Numerical Simulations of Large Forest Fires in the East Coastal Region of Korea Considering the Yangganjipung Local Wind", Journal of Korean Society Hazard Mitigation, 21(4), pp.39~48 (2021)
- Korea Forest Service, "Annals of Forest Statistics", ~ (2024)
- Ministry of the Interior and Safety, "Situation of Forest Fires in Gyongbuk and Gangwon Provinces", ~ (2022)
- Richards, G. D., "The Properties of Elliptical Wildfire Growth for Time Dependent Fuel and Meteorological Conditions", Combustion Science and Technology, 95, pp.357~383 (1993)
- A Mathematical Model for Predicting Fire Spread in Wildland Fuels, "Rothermel, R. C.", Intermountain Forest & Range Experiment Station Forest Service. US Department of Agriculture, ~ (1972)
- Sophia, S. Rwanga, "Application of Geographical Information Systems and FARSIT in Fire Spread Modelling", International Journal of Environment and Sustainable Development, 13(2), pp.185~203 (2014)
- The World Bank, "Global Wildfire Hazard. Metadata Last Updated on – 2023. 1. 19", 357~383 (2023)
- Zhiwei, Wu, "Comparing Fuel Reduction Treatments for Reducing Wildfire Size and Intensity in a Boreal Forest Landscape Northeastern China", Science of The Total Environment, pp.30~39 (2013)