• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.81-86
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• 2005

이 논문에서는 산불 발생의 패턴을 예측하기 위해 데이터 마이닝의 클러스터링 기법을 이용하여 산불 데이터를 그룹화하고 그 결과를 이용하여 산불 데이터의 상관관계를 분석하는 방법을 제안하였다. 즉, 클러스터링 기법을 이용하여 산불 데이터를 사용자가 원하는 수의 그룹으로 분류하고, 생성된 산불 데이터 클러스터 모델을 이용하여 새로운 유형의 산불패턴을 예측 할 수 있도록 하였다. 또한 결과 클러스터의 생성을 위해 이전의 산불 분포 데이터를 저장 관리하여 클러스터 간의 상관관계 분석을 통해 시퀀스를 생성하였고, 생성된 각각의 클러스터 시퀀스를 통합하여 클러스터들의 시퀀스를 추출하여 산불이 발생한 이후의 향후 발생 가능한 산불 유형을 예측하기 위한 방법을 제공하였다. 이는 과거에 발생된 산불의 유형뿐만 아니라 새로운 형태의 산불 유형 분류나 분석에 이용 가능하다.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1805-1815
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• 2022

In 2022, wildfires broke out in Uljin-gun and Samcheok-si, which set the record for the longest forest fire in Korea, but there were no casualties. To protect local residents from wildfires, they must evacuate. Predicting the demand for evacuation in the event of wildfires is essential for the efficiency of disaster management. The purpose of this study is to analyze the human mobility patterns according to the occurrence of Uljin-gun and Samcheok-si wildfires. SKT floating population data was used in this study to analyze the human mobility patterns in Uljin-gun and Samcheok-si. The main findings are as follows. First, while the movement of the resident and visiting population decreased, the movement of the worker population was found to be similar to normal. Second, the resident population of Buk-myeon, Uljin-gun moved to the surrounding area to avoid the wildfires. Third, the region is an area judged to be safe from wildfires, and this mobility patterns are related to emergency disaster text messages. This study confirmed human mobility patterns of the population in the area where the wildfires through the floating population data, which is quantitative data. This suggests that it is important to guide residents to shelters through emergency text messages to minimize damage in the event of wildfires.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.101-107
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• 2013

Because forest fires are predicted to increase in severity and frequency under global climate change with important environmental implications, an understanding of fire dynamics is critical for mitigation of these negative effects. For the reason, researchers with different background, such as ecologists, physicists, and mathematical biologists, have developed the simulation models to mimic the forest fire spread patterns. In this study, we suggested a novel model considering the wind effect. Our theoretical forest was comprised of two different tree species with varying probabilities of transferring fire that were randomly distributed in space at densities ranging from 0.0 (low) to 1.0 (high). We then studied the distributional patterns of burnt trees using a two-dimensional stochastic cellular automata model with minimized local rules. We investigated the time, T, that the number of burnt trees reaches 25% of the whole trees for different values of the initial tree density, fire transition probability, and the degree of wind strength. Simulation results showed that the values of T decreased with the increase of tree density, and the wind effect decreased in the case of too high or low tree density. We believe that our model can be a useful tool to explore forest fire spreading patterns.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.4
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• pp.259-266
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• 2014

Understanding the forest fire patterns is necessary to comprehend the stability of the forest ecosystems. Thus, researchers have suggested the simulation models to mimic the forest fire spread dynamics, which enables us to predict the forest damage in the scenarios that are difficult to be experimentally tested in laboratory scale. However, many of the models have the limitation that many of them did not consider the complicated environmental factors, such as fuel types, wind, and moisture. In this study, we suggested a simple model with the factors, especially, the geomorphological structure of the forest and two types of fuel. The two fuels correspond to susceptible tree and resistant tree with different probabilities of transferring fire. The trees were randomly distributed in simulation space at densities ranging from 0.5 (low) to 1.0 (high). The susceptible tree had higher value of the probability than the resistant tree. Based on the number of burnt trees, we then carried out the sensitivity analysis to quantify how the forest fire patterns are affected by the structure and tree density. We believe that our model can be a useful tool to explore forest fire spreading patterns.

• Journal of Korean Society of Forest Science
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• v.97 no.1
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• pp.1-9
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• 2008

It is necessary to examine relationship between spatial patterns of forest types and characteristics of forest fires for efficient management of fire and forest. By the ecoregions of South Korea, we computed landscape indices for whole types of forests(landscape level) and pine forests(class level), and analyzed characteristics of forest fires using statistics of forest fires from 1991 to 2006. We performed canonical correlation analysis to model the relationship between the landscape indices and the statistics of forest fires. At landscape level, forest patches were larger and more complex in the ecoregions which had higher percentage of forest area. At class level, pine forest patches were more complex and closer to neighbor patches in the coastal ecoregions. The ecoregions including metropolitan areas and cities had more frequent fire occurrences per 1,000ha, while mountainous coastal ecoregions had more burned areas and faster spread of fire growth rate. The canonical correlation between the landscape indices for pine forests and the statistics of forest fires was statistically significant at the 0.05 level and explained more than 70% of the variation in fire variables. The results showed that combustion time per fire was longer in the ecoregions which had larger and more aggregated pine forest patches.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.4
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• pp.222-228
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• 2012

This study was conducted to determine the natural succession process after forest fire by comparing height, relative growth rates in height (RGH), and tree density of pine seedlings with different fire severity. In the area damaged by surface fire, tree density was highest during the first 5 years after fire. However, in the area damaged by crown fire, tree density rapidly increased during first 5 years after fire. Pine seedlings were found only on the place with ridges, barren soil, and the aspect of north. Annual height growth of pine seedlings was decreased with time in all study sites. The empty space in pine stands gradually decreased by the invasion of Quercus species. The forest fire altered the pine forest into oak forest rapidly. In contrast, pine seedlings invaded steadily on the oak forest in the rocky area or the area with ridges.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.170-172
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• 2010

우리나라에서 집중적으로 발생하는 봄철(2월~4월) 산불을 효율적이고 체계적으로 관리하기 위하여 19년간(1991년~2009년) 발생한 봄철(2월~4월) 산불을 1990년대와 2000년대로 나누어 연대 순기별 산불발생빈도 공간패턴을 분석한 후 산불발생빈도 변화를 비교 분석하였다. 이를 위하여 ArcGIS Ver.9.2를 이용하여 $1km{\times}1km$ 공간 해상도로 IDW(Inverse Distance Weighting, 보간법)분석을 실시하였다. 분석 결과 1990년대 대비 2000년대의 산불발생빈도 변화는 대전을 포함한 충청 내륙과 전남 지역에서 큰 증가폭을 보였다. 또한 1990년대와 2000년대에는 4월 상순에 가장 높은 산불빈도를 나타냈으며, 1990년대 대비 2000년대의 지역별 산불발생빈도 변화가 한반도의 서쪽인 충청지역을 중심으로 호남지역과 인천에서 크게 증가된 것으로 분석되었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.3
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• pp.150-162
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• 2011

For the period between 1991 and 2009, the annual average of 448 forest fires occurred in Korea. Above all, approximately 94% of the total fires frequently occurred during the spring and fall seasons. Therefore, we need to minimize the damage of forest fire and manage them systematically. In this study, we analyzed the spatio-temporal distribution patterns for the frequency of forest fire occurrences by each city and gun during dry season between 1990s and 2000s using GIS. Then we compared to analyze the frequency of forest fire occurrence by ten-day intervals in 2000s with that in 1990s. As a result of analysis, early April showed the highest frequency of forest fire occurrence in both 1990s and 2000s. Compared to the 1990s and 2000s, the regional change of forest fire showed the most frequent fire events around Chungcheong province. Especially extra 27 fires increased in Daejeon city, and the second most frequent fire had more than 10 fires in Jeolla province and Incheon. However, the number of fire frequency decreased by 12 fires at the end of April in Hongcheon-gun(the province of Gangwon). This is the largest drop over the study period. We consider that this paper will utilize usefully to establish regional counterplan for forest fire prevention by understanding regional forest fire patterns from seasonal change.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.29-37
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• 2011

Forest fire in Korea has been controlled by local government, so that it is required to understand the characteristics of regional forest fire occurrences for the effective management. In this study, to analyze the patterns of regional forest fire occurrences, we divided South Korea into nine zones based on administrative boundaries and performed spatial statistical analysis using the location data of forest fire occurrences for 1991-2008. The spatial distributions of forest fire were analyzed by the variogram, and the risk of forest fire was predicted by kriging analysis. As a result, forest fires in metropolitan areas showed strong spatial correlations, while it was hard to find spatial correlations of forest fires in local areas without big city as Gangwon-do, Chungcheongbuk-do and Jeju island.

• Korean journal of applied entomology
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• v.52 no.3
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• pp.205-213
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• 2013

Forest fires disturb communities of forest-dwelling insects by killing or dispersal. Species diversity, species composition, and functional guilds of ant communities will be changed following forest fires. A survey of ants was conducted to find changes in ant communities after a large fire occurred in Goseong within Gwangwon province in South Korea in 1996. In total, 1,308 ants representing 16 species were collected; 696 ants representing 15 species were collected at the burned site, and 612 ants representing 13 species were collected at the unburned site. Contrary to the general expectation which predicts a decrease of diversity and abundance after fire, abundance, species diversity, species composition, and functional guilds of ant communities did not differ between the burned site and the unburned site. Furthermore, estimated species richness was significantly higher at the burned site than at the unburned site. However, monthly occurrences of ants (abundant species and pooled) were different between the burned site and the unburned site. Ants were more abundant at the burned sites than the unburned site just after the fire (May 1996). However, they were more abundant at the unburned site than the burned site in autumn (September and October 1996). This phenomenon might be caused by environmental change (e.g., decrease of soil moisture). In conclusion, the fire did not significantly change ant fauna, as fire in spring cannot destroy ant colonies that are wintering in deep soils.