• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.115-116
• /
• 2022

최근까지 강원도 일대에서는 산불재난으로 큰 곤욕을 치렀다. 본문의 표1의 자료에서 나와 있듯이 2000년대 이후 대한민국은 지속적인 산불재난으로 인해 세대에 걸친 중대한 피해를 입고 있는 실정이다. 이에 따라, 산불재난을 바라보는 인식의 변화가 필요할 것이며, "불가피성의 자연재해"라는 사후조치성 위주의 기존인식을 확장하여 사전조치성 예방 및 준비단계에 관심을 기울일 필요성이 있다고 생각된다.

• Journal of Cadastre & Land InformatiX
• /
• v.46 no.2
• /
• pp.27-42
• /
• 2016

Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

• Fire Science and Engineering
• /
• v.24 no.5
• /
• pp.39-49
• /
• 2010

In order to find out the environment vulnerable to cigarette fire in which smoldering fire grows into flame fire, a cigarette combustion test and numerical analysis were performed using fallen leaves of P. densiflora and Q. variabilis. Tests were repeated five times on 2,304 conditions with four cases of fuel moisture content, six cases of velocity, two cases of cigaret location against direction of the wind, three cases of cigaret location against fallen leaves, two species of thickness of cigaret, two cases of slope conditions and two cases of fragileness of fallen leaves. Cigaret fire's flammability to the fallen leaves was monitored by analyzing heat transfer process using CFD (Computational Fluid Dynamic) under the most optimal condition through an ignition test on 2,304 conditions. The result of a cigaret fire ignition test for fallen leaves, found ignition in 197 conditions out of 2,304 conditions representing 8.6% while 13 conditions representing approximately 0.6% saw ignition across five repeated tests. The result of CFD analysis, the temperature of the bottom of fallen leaves was reached on self-ignition and pilot-ignition temperature.

• Korean Journal of Remote Sensing
• /
• v.17 no.1
• /
• pp.85-97
• /
• 2001

The KT(Kauth-Thomas) and IHS(Intensity-Hue-Saturation) transformation techniques were introduced and compared to investigate fire-scarred areas with single post-fire Landsat 7 ETM+ image. This study consists of two parts. First, using only geometrically corrected imagery, it was examined whether or not the different level of fire-damaged areas could be detected by simple slicing method within the image enhanced by the IHS transform. As a result, since the spectral distribution of each class on each IHS component was overlaid, the simple slicing method did not seem appropriate for the delineation of the areas of the different level of fire severity. Second, the image rectified by both radiometrically and topographically was enhanced by the KT transformation and the IHS transformation, respectively. Then, the images were classified by the maximum likelihood method. The cross-validation was performed for the compensation of relatively small set of ground truth data. The results showed that KT transformation produced better accuracy than IHS transformation. In addition, the KT feature spaces and the spectral distribution of IHS components were analyzed on the graph. This study has shown that, as for the detection of the different level of fire severity, the KT transformation reflects the ground physical conditions better than the IHS transformation.

• Journal of Korean Society of Forest Science
• /
• v.99 no.1
• /
• pp.96-101
• /
• 2010

One of the restriction of wood as building material is its combustibility. The purpose of this paper is to examine the combustion properties of the quercus variabilis and zelkova serrata which are dried at room temperature and meet the desirable characteristics for use of construction materials. The cone calorimeter (ISO 5660-1) was used to determine the heat release rate (HRR) and fire smoke index, as well as CO production and smoke obscuration. The $HRR_{mean}$ 77.94 kW/$m^2$ of the quercus variabilis at 50 kW/$m^2$ was high in comparison with $HRR_{mean}$ 13.06 kW/$m^2$ for the zelkova serrata. Furthermore, the quercus variabilis has high specific extinction area ($SEA_{mean}$), 41.11 $m^2$/kg compared with $SEA_{mean}$ 9.23 $m^2$/kg of zelkova serrata. Thease results are depend on the density of tested wood species. In addition, the quercus variabilis has high CO production rate compared with that of zelkova serrata. Also, zelkova serrata showed an increase of retardant properties attributed to char formation compared with that of quercus variabilis.

• Fire Science and Engineering
• /
• v.23 no.5
• /
• pp.24-31
• /
• 2009

Based on fallen leaves of major Korean conifer species 'Pinus densiflora' and major Korean broadleaved species 'Quercus variabilis', this study sought to identify combustion emission gas types and measure their concentration by means of FTIR (Fourier Transform Infrared) spectrometer. As a result, it was found that there were total 13 types of combustion gas detected from fallen leaves of Pinus densiflora and Quercus variabilis, such as carbon monoxide, carbon dioxide, acetic acid, butyl acetate, ethylene, methane, methanol, nitrogen dioxide, ammonia, hydrogen fluoride, sulfur dioxide and hydrogen bromide. Notably, nitrogen monoxide was additionally detected from fallen leaves of Quercus variabilis. It was found that the overall concentration of combustion gas emitted from the fallen leaves of Pinus densiflora was 4.5 times higher than that from fallen leaves of Quercus variabilis. Particularly, it was found that emission concentration of some combustion emission gas types like carbon monoxide, carbon dioxide and butyl acetate exceeded the upper limit of their time-weighted average (TWA, ppm), while the emission concentration of carbon monoxide and carbon dioxide exceeded their short-term exposure limit (STEL, ppm) for both species. Thus, it was found that carbon monoxide and carbon dioxide have higher hazard to health than other gas types, because these two gas types account for higher than 99% of overall gas emission due to combustion of surface fire starting from litter layer in forest.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.24 no.4
• /
• pp.305-317
• /
• 2022

To investigate the blossom infection risk of fire blight on pears, the program Maryblyt has been executed from 2018 to 2022 based on meteorological data from central-Korean cities where fire blight has occurred as well as from southern Korean cities where the disease has not yet occurred. In the past five years, years with the highest risk of pear blossom blight were 2022 and 2019. To identify the optimal time for spraying, we studied the spray mode according to the Maryblyt model and recommend spraying streptomycin on the day after a "High" warning and then one day before forecasted precipitation during the blossom period. Maryblyt also recommends to initiate surgical controls from mid-May for canker blight symptoms on pear trees owing to over-wintering canker in Korea. Web-cam pictures from pear orchards at Cheonan, Icheon, Sangju, and Naju during the flowering period of pear trees were used for comparing real data and constructing a phenological model. The actual starting dates of flowering at southern cities such as Sangju and Naju were consistently earlier than those calculated by the model. It is thus necessary to improve the forecasting model to include field risks by recording the actual flowering period and the first day of the fire blight symptoms, according to the farmers, as well as mist or dew-fall, which are not easily identifiable from meteorological records.

• Korean Journal of Remote Sensing
• /
• v.33 no.6_3
• /
• pp.1233-1242
• /
• 2017

In this study, we tried to analyze deforestation due to forest fire by using KOMPSAT satellite imagery. For deforestation analysis, unsupervised change detection algorithm is applied to multitemporal images. Through ITPCA (ITerative Principal Component Analysis) of NDVI (Normalized Difference Vegetation Index) generated from multitemporal satellite images before and after forest fire, changed areas due to deforestation are extracted. In addition, a post-processing method using SRTM (Shuttle Radar Topographic Mission) data is involved in order to minimize the error of change detection. As a result of the experiment using KOMPSAT-2 and 3 images, it was confirmed that changed areas due to deforestation can be efficiently extracted.

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

• Journal of Life Science
• /
• v.15 no.1 s.68
• /
• pp.27-32
• /
• 2005

The recovery of vegetation in the burned area after forest fire was investigated in Mt. Sirubng, Jinju city, from 1994 to 2000. The floristic composition of a burned area was 37 kinds in 2000. The life from spectra of six sites showed H-D1-R5-e type. This type is similar to the life form which has been usually showed in most of burned areas. Total diversity index of six burned sites showed 2.135 (1996), 3.784 (1998), and 2.948 (2000). whereas, total diversity index of six unburned sites was 2.642 (1996), 2.516 (1998), and 2.723 (2000). Evenness index of six sites showed 1.816 (1996), 2.641 (1998), and 1.925 (2000). The dominant index of burned and unburned areas were 0.012 and 0.250 (1996), 0.031 and 0.261 (1998, and 0.110 and 0.275 (2000), respectively. The degree of succession in the unburned area gradually increased and the burned area was recovered to be similar to the unburned area after three years.