• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.04a
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• pp.408-412
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• 2010

내화수림대 조성을 위하여 난대수종 중 내화성 수종을 선발하고자 콘칼로미터를 이용하여 5수종(감탕나무, 구실잣밤나무, 동백나무, 붉가시나무, 후박나무)을 대상으로 수피, 가지, 생엽 등 부위별 연소특성을 분석하였다. 난대수종의 평균 열방출율(HRR)은 감탕나무($167.66kW/m^2$)>구실잣밤나무($142.80kW/m^2$)>동백나무($116.78kW/m^2$)>후박나무($95.48kW/m^2$)>붉가시나무($79.80kW/m^2$) 순으로 나타났다. 따라서, 붉가시나무가 산불 발생시 다른 수종에 비해서 화재강도가 낮은 것으로 사료된다. 수종별 부위(생엽, 가지, 수피)의 착화특성을 분석한 결과, 생엽에서 최초자연발화온도는 동백나무, 감탕나무($697^{\circ}C$)>후박나무($672^{\circ}C$)>구실잣밤나무($663^{\circ}C$)>붉가시나무($658^{\circ}C$) 순으로 나타났으며, 가지에서는 구실잣나무($671^{\circ}C$)>후박나무($669^{\circ}C$)>감탕나무($661^{\circ}C$)>붉가시나무($657^{\circ}C$)>동백나무($591^{\circ}C$) 순으로 나타났으며, 수피에서 동백나무($839^{\circ}C$)>후박나무($804^{\circ}C$)>동백나무($784^{\circ}C$)>붉가시나무($780^{\circ}C$)>감탕나무($749^{\circ}C$) 순으로 나타났다. 수종별 부위에 있어서 최초자연발화온도가 다른 것은 수종에 따라 조직과 세포간극 형태에 따라 수분함량의 차이가 착화특성을 다르게 나타내는 것으로 사료된다.

• Fire Science and Engineering
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• v.28 no.6
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• pp.22-27
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• 2014

In this study a Fuel bed where surface fire spreads through is made to measure the data such as the flame height, radiation, spread rate and temperature distribution of Fuel bed. As experimental variables species of trees, wind velocities and slop are chosen. Fallen leaves of Quercus Variabilis (Q.V.) and Pinus Densiflora (P.D.) are used as fuel. Wind velocity is controlled by simply designed wind turnnel from 1 to 5 m/s. Slope of fuel bed is changed from $0^{\circ}$ to $30^{\circ}$. For the measurements of temperature distribution and spread rate total 35 of K-type 1.6 mm thermocouples are positioned as a lattice design. Radiant heat flow meters are used besides video camera and thermovision camera.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2007.11a
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• pp.464-467
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• 2007

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.3
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• pp.345-352
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• 2020

Forest fires generate many types of risk as well as a wide and varied range of damage. Various studies and systems have emerged in response to wildfire disasters. International wildfire disaster safety management systems apply advanced technologies such as utilizing big data, GIS-based systems, and decision-making systems. This study analyzes South Korea's and other countries' forest fire disaster safety management systems, and suggests alternatives for wildfire disaster safety management in Korea. First, a means of integrating information, including field information, obtained by domestic agencies is proposed. Second, a method of applying big data to the disaster response system is proposed. Third, a decision-making system is applied to an existing GIS-based system. When applying the above countermeasures to Korea's existing disaster safety management system, various information and data can be visualized and thus more easily identified, leading to more effective decision-making and reduced fire damage.

• Fire Science and Engineering
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• v.30 no.1
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• pp.57-62
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• 2016

This study evaluated the risk of forest fires due to climate change in Jeju using the VESTAP. The study primarily aimed at assessing the risks posed to Jeju city and Seogwipo city, and uses actual and projected date from the period of 2000's to 2040's based on RCP 8.5 scenario. Forest fire vulnerability throughout Jeju-do was determined through the standardization of vulnerability index. The highest vulnerability was determined for the towns of Chuja-myeon, Udo-myeon, two downtown areas in Jeju city, Daejeong-eup, and five downtown areas in Seogwipo city, respectively.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.125-134
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• 2022

Forest fires in Korea usually start in the fall and occur every year until spring. Most wildfires are human resources that combine topographical characteristics and carelessness, and failure to respond in the initial stage and lack of cleanup are spreading to large-scale wildfires. In order to prevent these wildfires, active cooperation from the public is essential. As can be seen from recent wildfires, the attention of the public is needed above all else because large-scale wildfires in Korea are occurring due to the people's negligence. If a wildfire spreads and becomes large, it causes damage to life and property, and the damage is irreversible. In this study, various methods were used to prevent forest fires and improve initial suppression ability. In order to minimize damage, the model analyzed by the 119 Special Rescue Team in Gangwon, Chungcheong and nearby forest fires was analyzed on the combustion progress and wind direction by time period. The propagation speed by the wind direction was simulated. Until now, most of the wildfires have been extinguished by firefighting, but I hope that the Forest Service will take the lead and maintain coordination with related organizations.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.10a
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• pp.131-135
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• 2010

우리나라는 산림이 울창하고 가연성 낙엽 등의 가연성 물질들이 많이 쌓여 있으며, 경사가 급하고 기복이 많은 산지로서 초기진화 실패 시 연소진행 속도가 빨라 급속히 확산 시키는 산악 형 산림으로서 산불 발생 시 진화가 어려워 산불의 확산 속도와 강도를 추정하기 어려운 실정이다. 현재 산불이 발생과 동시에 초기 진화에만 초점을 마치고 있는 시점에서 초기 진화에 실패했을 경우 산불이 확산되는 경로와 시간 등을 예측하여 최소한의 인력과 장비를 이용하여 진화하는 시스템을 구축할 수 있는 경우는 아직 우리나라에서는 미흡하다. 본 연구에서는 특정지역의 국부지형 기상인자(풍향, 풍속)를 측정하여 산불이 발생 시 인자별 특성에 따라서 산불의 진행 경로와 산불의 진화 시나리오를 예측할 수 있는 시스템을 구축하는데 그 목적이 있다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.439-440
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• 2022

우리나라 건기에 해당하는 봄철에는 산불화재에 예방에 주의해야 한다. 그러나 안타깝게도 이 시기에는 다양한 언론매체를 통하여 산불화재 피해에 대한 소식을 전해 들어야만 하는 것이 사실이다. 2022년 울진군에서 발생한 산불화재는 국내에서 2000년 동해안 산불에 이어 역대 2번째로 피해 규모가 큰 산불화재이다. 산불화재은 건축화재와 달리 피해면적에 광범위하기에 더욱 주의를 기울여야만 하며, 언론매체를 통한 피해 규모를 살펴보면 산불의 위험성을 증대하는 것처럼 느껴진다. 본 연구에서는 국가화재통계를 이용하여 국내에서 발생하는 산불화재의 발생빈도와 발화장소에 대하여 살펴보았다. 이를 통하여 대규모 산불화재로 인한 피해를 예방하기 위한 방안으로서 화재안전대책 우선순위를 도출하고자 하였다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.2
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• pp.114-124
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• 2014

For classifying fire damaged areas and analyzing burn severity of two large-fire areas damaged over 100 ha in 2011, three methods were employed utilized supervised classification, unsupervised classification and Normalized Difference Vegetation Index (NDVI). In this paper, the post-fire imageries of SPOT were used to compute the Maximum Likelihood (MLC), Minimum Distance (MIN), ISODATA, K-means, NDVI and to evaluate large-scale patterns of burn severity from 1 m to 5 m spatial resolutions. The result of the accuracy verification on burn severity from satellite images showed that average overall accuracy was 88.38 % and the Kappa coefficient was 0.8147. To compare the accuracy between burn severity and field survey at Uljin and Youngduk, two large fire sites were selected as study areas, and forty-four sampling plots were assigned in each study area for field survey. The burn severities of the study areas were estimated by analyzing burn severity (BS) classes from SPOT images taken one month after the occurrence of the fire. The applicability of composite burn index (CBI) was validated with a correlation analysis between field survey data and burn severity classified by SPOT5, and by their confusion matrix. The result showed that correlation between field survey data and BS by SPOT5 were closely correlated in both Uljin (r = -0.544 and p<0.01) and Youngduk (r = -0.616 and p<0.01). Thus, this result supported that the proposed burn severity analysis is an adequate method to measure burn severity of large fire areas in Korea.

• Journal of Korean Society of Forest Science
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• v.99 no.1
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• pp.52-56
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• 2010

Crown fuel characteristics such as crown bulk density, crown base height, and fuel moisture content of Japanese red pine were analyzed. Ten trees in Mt. Palgong at Daegu, were destructively sampled and their crown fuels were weighed separately for each fuel category. Fuel content of live and dead crown component were 53%, and 15.3%, respectively. Foliar moisture content was 56%. Needles and twigs with diameter less than 1cm diameter accounted for 16.2%, 55% of total and crown fuel load. Average crown bulk density of Japanese red pine was 0.24 kg/$m^3$, effective crown fuel bulk density was 0.1325 kg/$m^3$.