• Title/Summary/Keyword: Forest Fire

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The Restoration of Forest Fire Area in Kagawa Prefecture, Japan (일본 가가와현 산불피해지의 복구대책)

  • Chun, Kun-Woo;Lee, Si-Young;Lim, Young-Hyup;Kakihara, Toshiko;Ezaki, Tsugio
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.238-241
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    • 2007
  • The forest seemed apparently to die on the forest fire area in Honjima, Kagawa Prefecture, Japan. However, the soil that became growing basic of vegetation hardly suffered damage, and the forest recovery was started by the sprout, etc. in the next year. For restoration of forest fire area, the fascine mulching works and log barrier works using the damaged trees were used for the upper-stream, and chack dam and erosion control dam were set up in the downstream. Also, the forest restoration was tried with the plants and the microorganism that inhabit in Honjima to preserve a peculiar forest ecosystem.

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Characterization of Burned Architectural Woods by Fire Using SEM-EDXS and Computerized Tomography

  • Lee, Hyun-Mi;Hwang, Won-Joung;Lee, Dong-Heub;Son, Dong-Won
    • Journal of the Korean Wood Science and Technology
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    • v.42 no.5
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    • pp.516-522
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    • 2014
  • Old architectural wood materials damaged by a fire were evaluated on the basis of wood species and scanning electron microscopy (SEM) observation of wood tissues in combination with energy dispersive X-ray spectroscopy (EDXS) analysis. Results of SEM observation showed that tracheid wall thickness of burned parts was very thin compared with undamaged and sound wood, and tylosoid in the resin canals disappeared after the exposure to fire. SEM-EDXS analysis indicated that carbon and oxygen peaks occurred in the original energy band, and the carbon peak was higher than that of the oxygen in the burned part. A computerized tomography was also undertaken to investigate the carbonization layer formed by fire and possible internal defects.

Classification of Fire Damaged Degree Using the Factor Analysis and Cluster Analysis from the Landsat TM Image (Landsat TM 영상에서 요인분석과 군집분석을 이용한 산불 피해정도 분류)

  • Kim, Sung-Hak;Kim, Yeol;Choi, Seung-Pil;Choi, Cheol-Soon
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2007.04a
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    • pp.211-214
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    • 2007
  • After the forest fire, as access is not easy, forest damage degree are determined with Landsat TM image rather than visual inspection. Therefore in this study, damaged areas are extracted with factor analysis and cluster analysis. Second factor analysis was performed for areas suspicious as forest fire damage areas to evaluate accuracy after separating into strong, medium and light forest fire areas.

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An Examination of the Fire Behavior of Pinus densiflora Fuel Beds with Thinning Intensity (간벌강도별 지표연료량에 따른 소나무 화염특성 분석)

  • Ye-Eun Lee;Jae Hak Song;Sangjun Im;Kyung Nam Kwon;Chun Geun Kwon
    • Journal of Korean Society of Forest Science
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    • v.113 no.3
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    • pp.308-318
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    • 2024
  • Forest fuel management plays a crucial role in the proper management of frequent and large-scale forest fires worldwide. This study evaluated the impact of fuel management on reducing forest fire risk by through surface fire behavior through laboratory experiments and simulations using the Wildland Fire Dynamics Simulator. For Pinus densiflora litter, fuel conditions were established based on field surveys in Goseong-gun, Gangwon-do, focusing on control, 20% thinning, and 40% thinning sites. Results indicated that visible flame height, vertical temperature distribution, and maximum heat release rate tended to decrease with higher thinning intensity, implying a lower forest fire risk. Overall, the WFDS simulations produced higher values compared to the laboratory experiments, but the trends were similar. The results of this study can serve as fundamental data for evaluating forest fire risk based on thinning intensity and establishing a research foundation for fire prevention.

A Study on the Afforestation of Fire-Resistant Forest through an Application of Forest Fire Investigation (산림 화재감식 응용을 통한 내화림 조성에 관한 연구)

  • Park, Young-Ju
    • Journal of the Korean Society of Safety
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    • v.26 no.5
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    • pp.118-129
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    • 2011
  • In this study, species resistant to forest fire were extracted from high trees through an investigation of combustion mechanism. Here, the average flameless ignition temperatures of living leaves, branches and barks of oak were respectively, $365^{\circ}C$, $440^{\circ}C$ and $435^{\circ}C$, and the average flameless ignition temperatures of living leaves, branches, barks and cones of pine tree were respectively, $320^{\circ}C$, $405^{\circ}C$, $435^{\circ}C$ and $363^{\circ}C$. It shows that generally, pine tree has a lower flameless ignition temperature than oak and thus, has a relatively high risk of flameless ignition. When comparing risk of fire depending on ignition characteristics, Quercus serrata had a low risk of stem fire, and Quercus acutissima and Quercus serrata had a low risk of crown fire, as well. When analysing risk of fire depending on a duration of flame, also, Quercus dentata had a low risk of stem fire, and Quercus variabilis Blume had a low risk of crown fire too. Lastly, when comparing risk of fire, according to heat release rates, Quercus acutissima had a low risk of stem fire, and Quercus acutissima and Quercus dentata had a low risk of crown fire, as well. In conclusion, it was observed that as fire-resistant species, Quercus serrata and Quercus dentata have a low risk of ignition, Quercus variabilis Blume has a short duration of flame after discharging ignition when a forest fire occurs, and Quercus acutissima, Pinus Rigida and Antipathes japonica Brook have low heat release rates.

A Study on a Development of Automated Measurement Sensor for Forest Fire Surface Fuel Moistures (산불연료습도 자동화 측정센서 개발에 관한 연구)

  • YEOM, Chan-Ho;LEE, Si-Young;PARK, Houng-Sek;WON, Myoung-Soo
    • Journal of the Korean Wood Science and Technology
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    • v.48 no.6
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    • pp.917-935
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    • 2020
  • In this study, an automated sensor to measure forest fire surface fuel moistures was developed to predict changes in the moisture content and risk of forest fire surface fuel, which was indicators of forest fire occurrence and spread risk. This measurement sensor was a method of automatically calculating the moisture content of forest fire surface fuel by electric resistance. The proxy of forest fire surface fuel used in this sensor is pine (50 cm long, 1.5 cm in diameter), and the relationship between moisture content and electrical resistance, R(R:Electrical resistance)=2E(E:Exponent of 10)+13X(X:Moisture content)-9.705(R2=0.947) was developed. In addition, using this, the software and case of the automated measurement sensor for forest fire surface fuel moisture were designed to produce a prototype, and the suitability (R2=0.824) was confirmed by performing field monitoring verification in the forest. The results of this study would contribute to develop technologies that can predict the occurrence, spread and intensity of forest fires, and are expected to be used as basic data for advanced forest fire risk forecasting technologies.

Forest Fire Area Extraction Method Using VIIRS (VIIRS를 활용한 산불 피해 범위 추출 방법 연구)

  • Chae, Hanseong;Ahn, Jaeseong;Choi, Jinmu
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.669-683
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    • 2022
  • The frequency and damage of forest fires have tended to increase over the past 20 years. In order to effectively respond to forest fires, information on forest fire damage should be well managed. However, information on the extent of forest fire damage is not well managed. This study attempted to present a method that extracting information on the area of forest fire in real time and quasi-real-time using visible infrared imaging radiometer suite (VIIRS) images. VIIRS data observing the Korean Peninsula were obtained and visualized at the time of the East Coast forest fire in March 2022. VIIRS images were classified without supervision using iterative self-organizing data analysis (ISODATA) algorithm. The results were reclassified using the relationship between the burned area and the location of the flame to extract the extent of forest fire. The final results were compared with verification and comparison data. As a result of the comparison, in the case of large forest fires, it was found that classifying and extracting VIIRS images was more accurate than estimating them through forest fire occurrence data. This method can be used to create spatial data for forest fire management. Furthermore, if this research method is automated, it is expected that daily forest fire damage monitoring based on VIIRS will be possible.

Characteristics of Soil Erosion on the Forest Fired Sites by Using Rainfall Simulator (인공강우장치를 이용한 산불발생지의 토양침식 특성에 관한 연구)

  • Lee, Heon Ho;Joo, Jae Duk
    • Journal of Korean Society of Forest Science
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    • v.95 no.6
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    • pp.649-656
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    • 2006
  • The purpose of study is to measure soil erosion quantity for elapsed four years from the fire on forest fired sites of Dong-gu, Daegu. This study was conducted to investigate the characteristics of soil erosion by fire occurrence influencing on the soil erosion were. Also analysis result follows that the relations between soil erosion quantity and rainfall intensity, the slope and elapsed year. The results analysed were as follows: 1. Soil erosion by year of occurrence of forest fire was increased 1.9 to 5.7 times as rainfall intensity was increased by 30 m/hr, and 1.4 to 14.2% as degree of slope was increased by $10^{\circ}$. 2. In the first year of forest fire occurrence, soil erosion was fairly heavy for 10 minutes of initial rainfall of which rainfall intensity was 80 m/hr and degree of slope was $30^{\circ}$. The amount of soil erosion was gradually reduced as elapsed time. From two years after fire, the amount of soil erosion by rainfall intensity and degree of slope was nearly constant. 3. The amount of soil erosion by rainfall intensity and slope in accordance with elapsed time after fire was reduced 28.9 to 94.1% in three years after occurrence of forest fire as compared to the first year of fire. Soil erosion was fairly heavy by rainfall intensity and slope in the first year of fire, but it was gradually reduced from two years after fire. 4. In the analysis on influences of each factors on the amount of soil erosion on forest fired sites, the amount of soil erosion was significant differences in major impacts of each rainfall intensity, degree of slope and elapsed year after fire and interaction of rainfall intensity${\times}$degree of slope and rainfall intensity${\times}$elapsed year after fire, but no differences were observed in interaction of degree of slope${\times}$elapsed year after fire and rainfall intensity${\times}$degree of slope${\times}$elapsed year after fire. Rainfall intensity was the most affecting factor on the amount of soil erosion and followed by degree of slope and elapsed year after fire. 5. For correlation between soil erosion and affecting three factors, soil erosion showed significant positive relation with rainfall intensity and degree of slope at I % level, and significant negative relation with elapsed year after fire at 1 % level. 6. As a result of regression of affecting three factors on soil erosion. rainfall intensity was most significant impact factor in explaining the amount of soil erosion on forest fired sites, followed by degree of slope and elapsed year after forest fire. 7. The formula for estimating soil erosion using rainfall intensity, degree of slope and elapsed year after forest fire occurrence was made. S.E = 0.092R.I + 0.211D.S - 0.942E.Y(S.E : Soil erosion, R.I : Rainfall intensity, D.S : Degree of slope, E.Y : Elapsed year after forest fire occurrence)

A Forest Fire Prevention Mechanism using Geographic Information System - The case of Mt. Uam in Cheongju - (지리정보시스템(GIS)을 이용한 산불방재방안 - 청주시 우암산 지역을 중심으로 -)

  • Shin, Young-Chul;An, Sang-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.23-34
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    • 2000
  • The forest fire covered with forest gets increasing year after year in Korea. Furthermore the scale becomes larger. A forest fire problem is extremely serious. In this situation this study discussed a forest fire prevention with scientific and systematic method. Various information was created using GIS for Mt. Uam, which is located in Uam, Cheongju city. The predictive model to enhance effective forest fire management was developed.

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A Study on Meteorological Elements Effecting on Large-scale Forest Fire during Spring Time in Gangwon Young-dong Region (강원 영동지역 봄철 산불대형화 영향 기상요소 분석)

  • Lee, Si-Young;Kim, Ji-Eun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.11 no.1
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    • pp.37-43
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    • 2011
  • In this study, we analyzed the meteorological elements, when large forest fires were occurred, The rate of precipitation was 13% of annual average precipitation. Especially, the stronger wind speed, lower humidity and rainfall than average annual record were the distinct feathers on the year when large forest fire occurred in east coast area in Kangwon region. The average, maximum and maximum instantaneous wind speed was 5.9 m/s, 11.3 m/s and 20.9 m/s when large forest fires occurred. The average, maximum and maximum instantaneous wind speed on large fire occurred were 1.8 m/s, 3.0 m/s and 6.9 m/s faster than and average wind speed when whole forest fires occurred. The results indicated that the large forest fire occurrence had a close correlation with meteorological elements.