• Journal of Korean Society of Forest Science
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• v.85 no.1
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• pp.66-75
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• 1996

This study was carried out to examine the forest fire effect on water storage characteristics in the forests. Water storage capacity of the burned area was analyzed by several major factors, such as soil pore, maximum water content, effective water storage, and percolation rate. The results obtained from the analysis of major factors are as follows; The deeper soil depth, the less total pore, coarse pore, effective water storage, and percolation rate. However, fine pore increased slightly in both burned area and control plot. As compared with control plot, burned area showed lower percolation rate, coarse pore, and effective water storage, but higher values of fine pore. Directly after forest fire, the soil pore is little affected. But as the time passes, top soil structure changes and soil pore also is affected even in a deep soil. Estimated effective water storage was lower at top soil of Namcheon and at deep soil of Namha in all the burned areas, but slowly decreased in deep soil compared to control plots. Therefore it was concluded that forest water storage capacity was greatly affected by the forest fire.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.38-38
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• 2022

동해안 지역에서 발생되는 대형 산불의 원인은 건조주의보, 영동지역에서 불어오는 강한 바람, 소나무의 단순림, 임도 유무와 상태 등을 들고 있다. 조사 대상지인 삼척 검봉산 일대는 기존 소나무가 우점하는 곳으로 2001년 복원을 위해 소나무, 곰솔, 굴참나무 등을 조림하였고, 일부는 자연복원을 하였다. 복원 이후 21년 지난 현재 삼척 검봉산 일대 산불피해 복원지역의 식생은 크게 굴참나무-소나무군락, 소나무신갈나무군락, 곰솔-소나무군락으로 나누어지는 것으로 나타났다. 산불피해지 식생 회복은 굴참나무, 소나무, 곰솔 등 조림으로 현재 식생은 산불 발생 이전의 임상으로 회복되고 있다. 특히, 산불의 유형 중 지표화 피해지역은 하층 식생의 피해가 크다. 기존의 소나무는 결실된 종자를 비산하여 치수를 발생시켜 자연복원의 속도를 높이고 굴참나무를 활용한 인공복원은 맹아를 발달시켜 본인의 영역을 확장하는 전략을 지니고 있다. 단, 입지적 환경이 동일하다는 전제 조건에서 숲에서 재생 기작이 진행되는 자연복원보다는 인공복원이 회복시간과 종다양성이 높은 측면에서는 효과적인 것으로 결론을 지을 수 있다. 식생군락을 분류한 결과 굴참나무-소나무군락, 소나무-신갈나무군락, 곰솔소나무군락으로 3개 군락으로 나누어졌다. 인공복원지에 식재한 굴참나무, 소나무, 곰솔은 복원 이후 지속적으로 해당지역의 식생이 우점종으로 자생하고 있는 것으로 나타났으나, 소나무-신갈나무군락의 경우 참나무과 식물인 신갈나무와 굴참나무, 졸참나무가 교목층과 아교목층에 자연유입되고 있어 향후 신갈나무가 우점하는 활엽수림으로 천이 될 것으로 예상된다. 군락의 종다양도지수는 낙엽활엽수가 우점하는 굴참나무-소나무군락이 가장 높게 나타났으며, 침엽수림인 곰솔소나무군락이 가장 낮게 나타났다. 산불피해지 식생은 조림수종에 영향을 크게 받으며, 21년이 지난 현재 산불 이전 임상으로 회복되는 경향을 나타내었다. 향후, 효과적인 복원을 위한 DB구축 및 모니터링자료 마련을 위해 산불피해지에 대한 지속적인 식생조사를 통한 자료구축이 필요하다.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.204-218
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• 2024

In this study, we evaluate the applicability of domestic and international forest fire indices in Korea. To accomplish this objective, we first compare the structures of widely-used forest fire indices worldwide. Then, the application results of these forest fire indices are evaluated by comparing them with the annual and seasonal variations in actual forest fire occurrences in Korea. Finally, we select indices suitable for domestic application and propose directions to improve their appropriate applicabilities. The considered forest fire indices include MI, KBDI, FFWI, and mFFWI developed in the United States, NI, ZhI, and MNI developed in Russia, and DWI developed in Korea. This study considers the East Coast region as a study area, and the number of forest fire occurrences is referenced from the forestry statistics yearbook provided by the Korea Forest Service. As results, first, most forest fire indices do not adequately reproduce the actual annual forest fire occurrences as its variation is so small. However, most indices are found to effectively represent the monthly variations. Based on the correlation analysis between forest fire indices and actual forest fire occurrences, mFFWI, MI, ZhI, and DWI are selected as suitable indices for the East Coast region. However, these indices are still not satisfactory to adequately represent the forest fire occurrences in Korea, suggesting the need for further improvements. Each index has its own different aspects to be improved and, therefore, evaluation of these indices may be available only after further improvements are completed.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.3
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• pp.121-128
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• 2005

Forest fire is expanded to large-scale forest fire based on topographic characteristics, particularly slope. This report addresses the currently available methods of calculation slope angle from a digital elevation model and develops a new method that circumvents a number of the shortcomings associated with other algorithms. The results of the comparison of five different slope angle calculation algorithms show that maximum uphill slope angle calculation is the proper method for the purpose of predicting forest fire hazard.

• 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.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.30-40
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• 2022

Wildfires, which occur sporadically and irregularly worldwide, are distinct natural disturbances in combustible vegetation areas, important parts of the global carbon cycle, and natural disasters that cause severe public emergencies. While many previous studies have investigated the variability and changes in wildfires globally based on fire emissions, burned areas, and fire weather indices, studies on East Asia are still limited. Here, we explore the characteristics of variability and changes in wildfire danger over East Asia by analyzing the fire weather index for the 40 years-1981-2020. The first empirical orthogonal function (EOF) mode of fire weather index variability represents an increasing trend in wildfire danger over most parts of East Asia over the last 40 years, accounting for 29% of the total variance. The major contributor is an increase in the surface temperature in East Asia associated with global warming and multidecadal ocean variations. The effect of temperature was slightly offset by the increase in soil moisture. The second EOF mode exhibits considerable interannual variability associated with the El Nino-Southern Oscillation, accounting for 17% of the total variance. The increase (decrease) in precipitation in East Asia during El Nino (La Nina) increases (decreases) soil moisture, which in turn reduces (increases) wildfire danger. This dominant soil moisture effect was slightly offset by the temperature increase (decrease) during El Nino (La Nina). Improving the understanding of variability and changes in wildfire danger will have important implications for reducing social, economic, and ecological losses associated with wildfire occurrences.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.2
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• pp.39-43
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• 2009

we studied and analyzed a tree mortality of 7 species(Pinus koraiensis etc) in surface forest fire area. In this results, the order of tree mortality was Cryptomeria japonica>Pinus koraiensis>Pinus densiflora>Pinus thunbergii>Larix leptolepis>Pinus rigida>Quercus. More damaged crown was higher tree mortality and more d.b.h was less tree mortality. Especially, oak trees in which a damage rate of crown was less 30% almost survived.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.04a
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• pp.438-442
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• 2010

우리나라의 산림면적은 연도가 경과함에 따라 감소한 반면, 임목축적은 지속적으로 증가하였으며, 임상별 면적과 축적은 침엽수의 비중이 가장 높고 혼효림, 활엽수 순으로 나타나고, 영급은 현재 III, IV영급이 많이 분포하는 영급구조로 변화되었다. 또한 임목축적별 건당 피해면적과 재적, 피해면적당 피해수량은 임목축적이 증가함에 따라 증가하는 경향이 있었다. 또한, 피해면적과 재적이 급격히 증가되는 임목축적 3억$m^3$구간은 95년 이후로 이 당시 임목영급은 II, III영급으로 과거보다 산림연료가 풍부해 지는 시기며, 숲가꾸기 단계상 간벌단계로 임목간 밀도가 심하고 고사지의 발생 등 사다리형 연료 발달이 쉬워 대형 산불이 자주 발생한 것으로 판단된다.

• Korean Journal of Remote Sensing
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• v.35 no.6_3
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• pp.1285-1298
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• 2019

Drought is one of the factors that can cause wildfires. Drought is related to not only the occurrence of wildfires but also their frequency, extent and severity. In South Korea, most wildfires occur in dry seasons (i.e. spring and autumn), which are highly correlated to drought events. In this study, we examined the relationship between wildfire occurrence and drought factors, and developed satellite-based new drought indices for assessing wildfire risk over South Korea. Drought factors used in this study were high-resolution downscaled soil moisture, Normalized Different Water Index (NDWI), Normalized Multi-band Drought Index (NMDI), Normalized Different Drought Index (NDDI), Temperature Condition Index (TCI), Precipitation Condition Index (PCI) and Vegetation Condition Index (VCI). Drought indices were then proposed through weighted linear combination and one-class support vector machine (One-class SVM) using the drought factors. We found that most drought factors, in particular, soil moisture, NDWI, and PCI were linked well to wildfire occurrence. The validation results using wildfire cases in 2018 showed that all five linear combinations produced consistently good performance (> 88% in occurrence match). In particular, the combination of soil moisture and NDWI, and the combination of soil moisture, NDWI, and precipitation were found to be appropriate for representing wildfire risk.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.4
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• pp.116-130
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• 2019

In South Korea, forest fire occurrences are increasing in size and duration due to various factors such as the increase in fuel materials and frequent drying conditions in forests. Therefore, it is necessary to minimize the damage caused by forest fires by appropriately providing the probability of forest fire risk. The purpose of this study is to improve the Daily Weather Index(DWI) provided by the current forest fire forecasting system in South Korea. A new Fire Risk Index(FRI) is proposed in this study, which is provided in a 5km grid through the synergistic use of numerical weather forecast data, satellite-based drought indices, and forest fire-prone areas. The FRI is calculated based on the product of the Fine Fuel Moisture Code(FFMC) optimized for Korea, an integrated drought index, and spatio-temporal weighting approaches. In order to improve the temporal accuracy of forest fire risk, monthly weights were applied based on the forest fire occurrences by month. Similarly, spatial weights were applied using the forest fire density information to improve the spatial accuracy of forest fire risk. In the time series analysis of the number of monthly forest fires and the FRI, the relationship between the two were well simulated. In addition, it was possible to provide more spatially detailed information on forest fire risk when using FRI in the 5km grid than DWI based on administrative units. The research findings from this study can help make appropriate decisions before and after forest fire occurrences.