• Title/Summary/Keyword: Forest fire

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The Analysis on Forest Fire Occurrence Characteristics by Regional Area in Korea from 1990 to 2014 Year

  • Jeon, Bo Ram;Chae, Hee Mun
    • Journal of Forest and Environmental Science
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    • v.32 no.2
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    • pp.149-157
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    • 2016
  • Understanding regional characteristics in forest fire occurrence is important to establish effective forest fire prevention policy in Korea. This study analyzed the characteristics of forest fires occurred in 16 administrative districts for recent 25 years (1990~2014) to examine regional characteristics in forest fire occurrence. Forest fire occurrence reflects regional characteristics depending on climatic factors as well as region's society-cultural factors. Results showed that the first cause of forest fire occurrence was carelessness by human activities throughout all administrative districts, however, the second cause depends on regional characteristics. As the results of forest fire occurrence period analyzed for 10 days, the most forest fires occurred in the southern region during January to March, while forest fires in the northern region occurred mostly during March to April. We classified forest fire occurrence patterns into three types (centralized: Gyeonggi-do, dispersal: Busan, horizontally distributed: Gyeongsangnam-do) by multi-temporal analysis for forest fire occurrence period.

Developing of Forest Fire Occurrence Probability Model by Using the Meteorological Characteristics in Korea (기상특성을 이용한 전국 산불발생확률모형 개발)

  • Lee Si Young;Han Sang Yoel;Won Myoung Soo;An Sang Hyun;Lee Myung Bo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.6 no.4
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    • pp.242-249
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    • 2004
  • This study was conducted to develop a forest fire occurrence model using meteorological characteristics for the practical purpose of forecasting forest fire danger. Forest fire in South Korea is highly influenced by humidity, wind speed, and temperature. To effectively forecast forest fire occurrence, we need to develop a forest fire danger rating model using weather factors associated with forest fire. Forest fore occurrence patterns were investigated statistically to develop a forest fire danger rating index using time series weather data sets collected from 8 meteorological observation centers. The data sets were for 5 years from 1997 through 2001. Development of the forest fire occurrence probability model used a logistic regression function with forest fire occurrence data and meteorological variables. An eight-province probability model by was developed. The meteorological variables that emerged as affective to forest fire occurrence are effective humidity, wind speed, and temperature. A forest fire occurrence danger rating index of through 10 was developed as a function of daily weather index (DWI).

Forest Fire Risk Zonation in Madi Khola Watershed, Nepal

  • Jeetendra Gautam
    • Journal of Forest and Environmental Science
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    • v.40 no.1
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    • pp.24-34
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    • 2024
  • Fire, being primarily a natural phenomenon, is impossible to control, although it is feasible to map the forest fire risk zone, minimizing the frequency of fires. The spread of a fire starting in any stand in a forest can be predicted, given the burning conditions. The natural cover of the land and the safety of the population may be threatened by the spread of forest fires; thus, the prevention of fire damage requires early discovery. Satellite data and geographic information system (GIS) can be used effectively to combine different forest-fire-causing factors for mapping the forest fire risk zone. This study mainly focuses on mapping forest fire risk in the Madikhola watershed. The primary causes of forest fires appear to be human negligence, uncontrolled fire in nearby forests and agricultural regions, and fire for pastoral purposes which were used to evaluate and assign risk values to the mapping process. The majority of fires, according to MODIS events, occurred from December to April, with March recording the highest occurrences. The Risk Zonation Map, which was prepared using LULC, Forest Type, Slope, Aspect, Elevation, Road Proximity, and Proximity to Water Bodies, showed that a High Fire Risk Zone comprised 29% of the Total Watershed Area, followed by a Moderate Risk Zone, covering 37% of the total area. The derived map products are helpful to local forest managers to minimize fire risks within the forests and take proper responses when fires break out. This study further recommends including the fuel factor and other fire-contributing factors to derive a higher resolution of the fire risk map.

Analysis on Visibility Range of Forest Fire Detection Facilities for Forest Fire Prevention (산불예방을 위한 감시시설 가시범위 분석에 관한 연구)

  • Lee, Si-Young;An, Sang-Hyun
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.157-160
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    • 2008
  • This study analyzed on the area of Samcheok, Kangwondo about forest fire alarming area and enlargement of the area. Then, visible area by unattended watching camera and watchtower for forest fire which were run by Samcheok was cross-checked with geographic information system, and it could be whether effective on watching the area where the forest fire risk was high enough and also it could be expanded to larger forest fire. The result of study, the visible area by watching facilities only holds for 13.4% of the whole forest fire alarming area, but the forest fire can be observed even though it is occurred in small valley because of smoke and all the forest fire have been occurred in daytime. Therefore, it can be determined that watching area will be extended around 50.3% while the observation radii of watching facilities raise by 4km. However, Samcheok has much greater area of mountain area in compared to any other cities or counties, watching facilities should be installed and run additionally for extinguishing the forest fire from the beginning.

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A Study on the Actual Education Condition and Improvement of Education Program about Forest Fire (산불교육실태 및 개선방안에 관한 연구)

  • Lee, Si-Young
    • Fire Science and Engineering
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    • v.24 no.6
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    • pp.13-19
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    • 2010
  • In this study, surveys of forest fire division of eight local government about a education program for forest fire prevention and attacking of Forest Human Resources Development Institutes were conducted. In the result, questionnaire answers about improvements of curriculum, requested subject, training camp for forest fire attacking and others were analyzed. So, we made an alternative proposal of education program about forest fire for actively meeting a change of forest condition and forest fire management policy, strengthening of ability that officers in forest fire division required, and enhancing a efficiency.

A STUDY on FOREST FIRE SPREADING ALGORITHM with CALCULATED WIND DISTRIBUTION

  • Song, J.H.;Kim, E.S.;Lim, H.J.;Kim, H.;Kim, H.S.;Lee, S.Y
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 1997.11a
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    • pp.305-310
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    • 1997
  • There are many parameters in prediction of forest fire spread. The variables such as fuel moisture, fuel loading, wind velocity, wind direction, relative humidity, slope, and solar aspect have important effects on fire. Particularly, wind and slope factors are considered to be the most important parameters in propagation of forest fire. Generally, slope effect cause different wind distribution in mountain area. However, this effect is disregarded in complex geometry. In this paper, wind is estimated by applying computational fluid dynamics to the forest geometry. Wind velocity data is obtained by using CFD code with Newtonian model and slope is calculated with geometrical data. These data are applied fer 2-dimentional forest fire spreading algorithm with Korean ROS(Rate Of Spread). Finally, the comparison between the simulation and the real forest fire is made. The algorithm spread of forest fire will help fire fighter to get the basic data far fire suppression and the prediction to behavior of forest fire.

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Comparative analysis of forest fire danger rating on the forest characteristics of thinning area and non-thinning area on forest fire burnt area (산불피해지역에서 숲 가꾸기 실행유무가 산불에 미치는 영향)

  • Lee, Si-Young;Lee, Myung-Woog;Yeom, Chan-Ho;Kwon, Chun-Geun
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.153-156
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    • 2008
  • Comparative analysis of forest fire danger rating on the forest characteristics of thinning area and non-thinning area on forest fire burnt area was studied in this work. To investigate the effect of thinning slash in forest fire, Gangneung-si Wangsan-myeon, Ulgin-gun Wonnam-Myeon, Samchok-si Gagok-Myeon, in which forest fire broke out, were selected. As a result that investigated forest fire danger ratio between thinning slash and non-thinning slash, leeward scorching ratio(36%), crown damage ratio(29%), mortality of branch at the former are higher than those at the latter, leeward scorching ratio of tree, where thinning slash is around, is 10%-20% higher than that of independent tree. So I estimate that thinning slash has a some effect on the intensity of forest fire. And the result to investigate damage of forest fire according to tree species shows that leeward scorching ratio of conifer is 5% higher than that of non-conifer, and mortality of branch of the former is 19% higher than that of the latter. It is considered that forest fire may affect directly to a tree trunk if it diffuse to piled thinning tree because there was no space between thinning trees and trees. Furthermore, it was found that re-ignition had a chance to occur due to lots of piled thinning trees.

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Effect Evaluation of Forest Fire on Governor Station (정압기지에 대한 산불화재 영향평가)

  • Jang, Seo-Il;Char, Soon-Chul;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.9 no.2
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    • pp.49-57
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    • 2007
  • This Study is to suggest a method of effect evaluation of forest fire on governor station in shrub land. Theoretically, to evaluate effects of forest fire, it is combined that Spread Rate of Forest Fire, Flame Model, and Thermal Radiation Effects Model; i.e. a travel time of forest fire is calculated by Spread Rate of Forest Fire, fire-line intensity is calculated by Flame Model, and effects of fire-line intensity is affected by Thermal Radiation Effects Model. With the aforementioned method, we could carry out the effect evaluation of forest fire on governor station in shrub land and could distinguish scenarios to need protection plan from all scenarios.