• Korean Journal of Agricultural and Forest Meteorology
• /
• v.10 no.1
• /
• pp.17-24
• /
• 2008

This study was performed to estimate non-$CO_2$ greenhouse gases (i.e., GHGs) emission from biomass burning at a local scale. Estimation of non-$CO_2$ GHGs emission was conducted using Landsat TM satellite imagery in order to assess the damage degree in burnt area and its effect on non-$CO_2$ GHGs emission. This approach of estimation was based on the protocol of the 2003 IPCC Guidelines. In this study, we used one of the most severe fire cases occurred Samcheock in April, 2004. Landsat TM satellite imageries of pre- and post-fire were used 1) to calculate delta normalized burn ratio (dNBR) for analyzing burnt area and burn severity of the Samcheok large-fire and 2) to quantify non-$CO_2$ GHGs emission from different size of the burnt area and the damage degree. The analysis of dNBR of the Samcheok large-fire indicated that the total burnt area was 16,200ha and the size of the burnt area differed with the burn severity: out of the total burnt area, the burn severities of Low (dNBR < 152), Moderate (dNBR = 153-190), and High (dNBR = 191-255) were 35%, 33%, and 32%, respectively. It was estimated that the burnt areas of coniferous forest, deciduous forest, and mixed forest were about 11,506ha (77%), 453ha (3%), and 2,978ha (20%), respectively. The magnitude of non-$CO_2$ GHGs emissions from the Samcheok large-fire differed significantly, showing 93% of CO (44.100Gg), 6.4% of CH4 (3.053Gg), 0.5% of $NO_x$ (0.238Gg), and 0.1% of $N_2O$ (0.038Gg). Although there were little changes in the total burnt area by the burn severity, there were differences in the emission of non-$CO_2$ GHGs with the degree of the burn severity. The maximum emission of non-$CO_2$ GHGs occurred in moderate burn severity, indicating 47% of the total emission.

• 한국방재학회:학술대회논문집
• /
• 2007.02a
• /
• pp.223-230
• /
• 2007

Nowaday, for the promotion of producing forest trees, production of excellent timbers, and build-up of public forest area, it is on the increase of the thinning-forest for artificial forest, natural forest, eco-friendly forest, and the forest for development and improvement of forest resources nationwide. Even though the thinning-forest is applied around 180,000ha every year, the quantity of collected/used products is only 18,000ha $(240,000m^3)$ which is 10% of the whole thinning-forest area. Meanwhile, some reports represent that the left products after thinning-forest might increase the severity of forest fire and the waste of resources. Therefore, this study focused on the analysis of correlation between the accumulated products after thinning-forest and forest fire, and providing a preparation plan for the forest fire.

• Fire Science and Engineering
• /
• v.19 no.4 s.60
• /
• pp.1-6
• /
• 2005

To control forest fire effectively, it is necessary to understand forest fire behavior and relevance to forest fire environmental factors. In this paper, the behavior characteristics of the 2005 Yangyang forest fire were analyzed into the spread patterns and severity grades. The spread processes of the forest fire could be divided into two steps. At the first step, the fire ran fast to the east due to the strong west wind and then spreaded out in irregular direction. The maximum spread rate of the fire was 1.21km/hr and the mean was 0.65 km/hr. The result of the fire severity classification indicated that about $80\%$(1,110ha) of the whole study site was extremely burned and the remaining $15\%(211 ha)\;and\;5\%(61 ha)$ were damaged slightly and moderately respectively.

• Korean Journal of Environment and Ecology
• /
• v.20 no.2
• /
• pp.267-273
• /
• 2006

The biomass of Pinus densiflora stands burnt out by the 2005 Yangyang forest fire was estimated based on the grades of fire severity; light, moderate and heavy. In order to measure the post-fire ground biomass in kg/ha, the ground fuels including shrub layer were collected and weighted and the crown biomass was estimated using allometric regressions and leaf area index for dry weight of P. densiflora. The pre-fire biomass was assumed to be equal to that of non-damaged P. densiflora stands having the same characteristics. The results indicated that the forest fire burnt out fuels of stands; 3,693 kg/ha in the light-damaged, 8,724 kg/ha in the moderately-damaged, and 17,451 kg/ha in the heavily-damaged forest stands.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
• /
• 2005.09a
• /
• pp.114-118
• /
• 2005

• Korean Journal of Remote Sensing
• /
• v.24 no.2
• /
• pp.195-203
• /
• 2008

Burn severity is an important role for rehabilitation of burned forest area. This factor led to the pilot study to determine if high resolution IKONOS images could be used to classify and delinenate the bum severity over burned areas of Samchock Fire and Cheongyang-Yesan Fire. The results of this study can be summarized as follows: 1. The modified Normalized Bum Ratio (NBR) for IKONOS imagery can be evaluated using burn severity mapping. 2. IKONOS-derived NBR imagery could provide fire scar and detail mapping of burned areas at Samchock fire and Cheongyang-Yesan Burns.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.379-379
• /
• 2020

The influence of drought has increased due to global warming. In addition, forest fires have occurred more frequently due to droughts and resulted in property losses and casualty. In this study, the effects of drought on Goseong-Sokcho Forest Fire in 2019 were analyzed using high-resolution synthetic precipitation data. In order to determine the severity of drought, the average, 20%tile and 80%ile values were calculated using the synthetic precipitation data of the past 30 years and compared with the current climatology. We have investigated the multi-year accumulated precipitation data to determine the persistence of drought. In Goseong-Sokcho forest fire case, the two-year cumulative synthetic precipitation data shows a similar value to the climate, but the three-year cumulative synthetic precipitation data was close to the 20%ile lines of the climate value. It may expose that the shortage of precipitation in 2017 had persisted until 2019, despite abundant precipitation during the summer in 2018. Therefore, Goseong-Sokcho forest fire might be spread more rapidly by drought which has been persisted since 2017.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.25 no.6
• /
• pp.1-11
• /
• 2022

Recently, climate change has been regarded as a major cause of large-scale forest fires worldwide, and there is concern that more frequent and severe forest fires will occur due to the level of greenhouse gas emissions. In this study, the daily Keetch and Byram Drought Index (KBDI) of the Baekdudaegan in Chungcheong region including Sobaeksan, Songnisan, and Woraksan National Parks were calculated to assess effect of climate change on the forest fire potential- severity of annual maximum KBDI and frequency of high KBDI days. The present (2000~2019) and future KBDI(2021~2040, 2041~2060, 2081~2090) were calculated based on the meteorological observation and the ensemble regional climate model of the SSP1-2.6 and SSP5-8.5 scenarios with a spatial resolution of 1-km provided by Korea Meteorological Administration(KMA). Under the SSP5-8.5 scenario, 6.5℃ increase and 14% precipitation increase are expected at the end of the 21st century. The severity of maximum daily KBDI increases by 48% (+50mm), and the frequency of high KBDI days (> 100 KBDI) increases more than 100 days, which means the high potential for serious forest fires. The analysis results showed that Songnisan National Park has the highest potential for forest fire risk and will continue to be high in intensity and frequency in the future. It is expected that the forest vulnerability of the Baekdudaegan in the Chungcheong region will greatly increase and the difficulty in preventing and suppressing forest fires will increase as the abundance of combustible materials increases along with climate changes.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.25 no.5
• /
• pp.43-57
• /
• 2022

This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the values of the Normalized Burned Ratio(NBR) before and after forest fire damage not only maximized the identification of forest fire affected and unaffected areas, but also quantified the intensity of forest fire damage. The index was also used to confirm that the higher the intensity of forest fire damage in all forest fire-affected areas, the higher the proportion of coniferous forests, relatively. Monitoring was conducted after forest fires through Normalized Difference Vegetation Index(NDVI), an index suitable for the analysis of effects by restoration type and the NDVI values for artificial restoration sites were found to no longer be higher after recovering the average NDVI prior to the forest fire. On the other hand, the natural restoration site witnessed that the average NDVI value gradually became higher than before the forest fires. The study result confirms the natural resilience of forests and these results can serve as a basis for decision-making for future restoration plans for the forest fire affected areas. Further analysis with various conditions is required to improve accuracy and utilization for the policies, in particular, spatial analysis through forest maps as well as review through site checks before and immediately after forest fires. More precise analysis on the effects of restoration will be available based on a long term monitoring.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.17 no.3
• /
• pp.54-67
• /
• 2014

This study was performed to estimate Greenhouse gases(GHGs) emissions from biomass burning at large forest fire(Ulju, Pohang and Bonghwa) in 2013. The extended methodology to estimate GHGs adopted the IPCC(Intergovermental Panel on Climate Change) Guidelines(2006) equation. For classifying fire damaged area and analyzing burn severity of total three large-fire area damaged, this study used post-fire imagery from Rapideye imagery to compute the Maximum Likelihood Classifiction (MLC). The result of accuracy assessment on burn severity from imagery showed that average overall accuracy was 75.93% and Kapp coefficient was 0.67 Finally, GHGs emissions from biomass burning in the three large-fire area 2013 were estimated as follows: Ulju $CO_2$ 63,260, CO 5.207, $CH_4$ 360, $N_2O$ 28.0 and $NO_x$ $4.4g/kg^{-1}{\cdot}ha^{-1}$, Pohang $CO_2$ 28,675, CO 2.359, $CH_4$ 163, $N_2O$ 12.7 and $NO_x$ $1.9g/kg^{-1}{\cdot}ha^{-1}$ and Bonghwa $CO_2$ 53,086, CO 1,655, $CH_4$ 114, $N_2O$ 23.5 and $NO_x$ $3.6g/kg^{-1}{\cdot}ha^{-1}$.