• Resources Recycling
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• v.16 no.6
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• pp.46-51
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• 2007

This study aimed at developing high-efficiency RDF(refuse derived fuels) fuel in order to use RDF energy rationally and to recycle industrial product. As most studies in this area are concentrated in large combustion apparatuses such as kilns, but this study was focused on the small-sized heating systems, applying them directly to grate type boiler which has a heating capacity of $66{\sim}132m^2$. The different kinds of fuel are experimented including RDF. Coke and Waste Tire. First, for this, we experimented and analyzed RDF to see the change in its mass and heating value. Also, four kinds of exhaust gas are sampled by gas analyzer including CO, $CO_2$, NO and $NO_2$ at different temperature. As a result, the levels of CO concentration of RDF are higher than these of coke and waste tire. But, the levels of NO, $CO_2$ and $SO_2$ concentration of RDF and coke were lower then the levels when waste tire is burned.

• The Korean Journal of Pain
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• v.20 no.2
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• pp.158-162
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• 2007

Background: After burn patients are discharged from the hospital, they may continue to feel pain and paresthetic sensations at the site of a healed burn and these problems may persist for years. This study was designed to describe the characteristics of these symptoms in terms of intensity, frequency, and influencing factors. Methods: Patients that developed paresthetic sensations at sites of a healed burn were recruited from the pain management center from January 2003 to April 2006. Data was collected using a structured interview protocol. Results: Fifty one adults, with a total body surface area burned (TBSA) of $21.1{\pm}16.3%$ aged $42.0{\pm}12.9$ years were studied. A paresthetic sensation was reported to be present every day in 52.9% (27/51) of the subjects. A variation in the intensity was most commonly related to changes in the weather. A tight sensation and itching types of sensations were significantly more frequent in patients with more extensive injuries. Conclusions: Recognition and understanding of the chronic paresthetic sensation that many burn patients continue to experience at sites of a healed burn deserve further attention. Not only do clinicians need to be aware of these problems but also strategies for prevention and alleviation shou\d be explored.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.443-449
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• 2022

With climate change and the global population growth, the frequency and scope of wildfires are constantly increasing, which threatened people's lives and property. For example, according to California Department of Forestry and Fire Protection, in 2020, a total of 9,917 incidents related to wildfires were reported in California, with an estimated burned area of 4,257,863 acres, resulting in 33 fatalities and 10,488 structures damaged or destroyed. At the same time, the ongoing development of technology provides new tools to simulate and analyze the spread of wildfires. How to use new technology to reduce the losses caused by wildfire is an important research topic. A potentially feasible strategy is to simulate and analyze the spread of wildfires through computing technology to explore the impact of different factors (such as weather, terrain, etc.) on the spread of wildfires, figure out how to take preemptive/responsive measures to minimize potential losses caused by wildfires, and as a result achieve better management support of wildfires. In preparation for pursuing these goals, the authors used a powerful computing framework, Spark, developed by the Commonwealth Scientific and Industrial Research Organization (CSIRO), to study the effects of different weather factors (wind speed, wind direction, air temperature, and relative humidity) on the spread of wildfires. The test results showed that wind is a key factor in determining the spread of wildfires. A stable weather condition (stable wind and air conditions) is beneficial to limit the spread of wildfires. Joint consideration of weather factors and environmental obstacles can help limit the threat of wildfires.

• Economic and Environmental Geology
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• v.56 no.5
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• pp.501-514
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• 2023

Forest fires can generate numerous pollutants through the combustion of vegetation and cause serious environmental problems. The global warming and climate change will increase the frequency and scale of forest fires across the world. In Korea, many nuclear power plants (NPPs) are located in the East Coast where large-scale forest fires frequently occur. Therefore, understanding the sorption and transport characteristics of radionuclides in the forest fire areas is required against the severe accidents in NPPs. This article reviewed the physiochemical changes and contamination of groundwater and soil environments after forest fires, and discussed sorption and transport of radionuclides in the subsurface environment of burned forest area. We considered the geochemical factors of subsurface environment changed by forest fire. Moreover, we highlighted the need for studies on changes and contamination of subsurface environments caused by forest fires to understand more specific mechanisms.

• 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 Forest and Environmental Science
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• v.40 no.3
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• pp.167-179
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• 2024

Forest fire is one of the major disasters occurring in Nepal causing huge loss to the ecosystem, people and economy. They are mainly caused due to different anthropogenic activities. In Nepal, the forest fires occur during the dry season mainly from March to May. Nepal has roughly 29.5 percent forest area that are prone to forest fires and it is estimated that about 375 thousand hectares of forest were burned over one and half decade from 2000-2014. The forest fire risk is higher in the Terai and Siwalik regions than in any other region. To prevent and mitigate the forests fire incidences, the Government of Nepal has formulated and executed different policy instruments. In this regard, this paper aims to review the implementation of policies, strategies, Acts and regulations related to forest fire management at different levels of governance. Although federal and provincial governments' different policy instruments have considered forest fire and its management, these are not effectively implemented. It is not prioritized in terms of resource allocation, institutional capacity building, disaster preparedness and early warning. In addition, there are unclear and overlapping roles and responsibilities among three tiers of governments to effectively implement the policy provisions. Considering the consequences of the forest fire, governments at different levels need to devise an effective mechanism involving all stakeholders for implementing preventive and curative activities, strengthen institutions and build the capacity of human resources, and increase the level of resource allocation to implement the provisions of various legal and policy instruments.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1413-1425
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• 2023

The increasing frequency of wildfires due to climate change is causing extreme loss of life and property. They cause loss of vegetation and affect ecosystem changes depending on their intensity and occurrence. Ecosystem changes, in turn, affect wildfire occurrence, causing secondary damage. Thus, accurate estimation of the areas affected by wildfires is fundamental. Satellite remote sensing is used for forest fire detection because it can rapidly acquire topographic and meteorological information about the affected area after forest fires. In addition, deep learning algorithms such as convolutional neural networks (CNN) and transformer models show high performance for more accurate monitoring of fire-burnt regions. To date, the application of deep learning models has been limited, and there is a scarcity of reports providing quantitative performance evaluations for practical field utilization. Hence, this study emphasizes a comparative analysis, exploring performance enhancements achieved through both model selection and data design. This study examined deep learning models for detecting wildfire-damaged areas using Landsat 8 satellite images in California. Also, we conducted a comprehensive comparison and analysis of the detection performance of multiple models, such as U-Net and High-Resolution Network-Object Contextual Representation (HRNet-OCR). Wildfire-related spectral indices such as normalized difference vegetation index (NDVI) and normalized burn ratio (NBR) were used as input channels for the deep learning models to reflect the degree of vegetation cover and surface moisture content. As a result, the mean intersection over union (mIoU) was 0.831 for U-Net and 0.848 for HRNet-OCR, showing high segmentation performance. The inclusion of spectral indices alongside the base wavelength bands resulted in increased metric values for all combinations, affirming that the augmentation of input data with spectral indices contributes to the refinement of pixels. This study can be applied to other satellite images to build a recovery strategy for fire-burnt areas.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.80-92
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• 2007

Forest fire is the dominant large-scale disturbance mechanism in the Korean temperate forest, and it strongly influences forest structure and function. Moreover burn severity incorporates both short- and long-term post-fire effects on the local and regional environment. Burn severity is defined by the degree to which an ecosystem has changed owing to the fire. Vegetation rehabilitation may specifically vary according to burn severity after fire. To understand burn severity and process of vegetation rehabilitation at the damaged area after large-fire is required a lot of man powers and budgets. However the analysis of burn severity in the forest area using satellite imagery can acquire rapidly information and more objective results remotely in the large-fire area. Space and airbone sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. For classifying fire damaged area and analyzing burn severity of Samcheok fire area occurred in 2000, Cheongyang fire in 2002, and Yangyang fire in 2005 we utilized Normalized Burn Ratio(NBR) technique. The NBR is temporally differenced between pre- and post-fire datasets to determine the extent and degree of change detected from burning. In this paper we use pre- and post-fire imagery from the Landsat TM and ETM+ imagery to compute the NBR and evaluate large-scale patterns of burn severity at 30m spatial resolution. 65% in the Samcheok fire area, 91% in the Cheongyang fire area and 65% in the Yangyang fire area were corresponded to burn severity class above 'High'. Therefore the use of a remotely sensed Differenced Normalized Burn Ratio(${\Delta}NBR$) by RS and GIS allows for the burn severity to be quantified spatially by mapping damaged domain and burn severity across large-fire area.

• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.179-197
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• 2020

Topographic normalization reduces the terrain effects on reflectance by adjusting the brightness values of the image pixels to be equal if the pixels cover the same land-cover. Topographic effects are induced by the imaging conditions and tend to be large in high mountainousregions. Therefore, image analysis on mountainous terrain such as estimation of wildfire damage assessment requires appropriate topographic normalization techniques to yield accurate image processing results. However, most of the previous studies focused on the evaluation of topographic normalization on satellite images with moderate-low spatial resolution. Thus, the alleviation of topographic effects on multi-temporal high-resolution images was not dealt enough. In this study, the evaluation of terrain normalization was performed for each band to select the optimal technical combinations for rapid and accurate wildfire damage assessment using PlanetScope images. PlanetScope has considerable potential in the disaster management field as it satisfies the rapid image acquisition by providing the 3 m resolution daily image with global coverage. For comparison of topographic normalization techniques, seven widely used methods were employed on both pre-fire and post-fire images. The analysis on bi-temporal images suggests the optimal combination of techniques which can be applied on images with different land-cover composition. Then, the vegetation index was calculated from the images after the topographic normalization with the proposed method. The wildfire damage detection results were obtained by thresholding the index and showed improvementsin detection accuracy for both object-based and pixel-based image analysis. In addition, the burn severity map was constructed to verify the effects oftopographic correction on a continuous distribution of brightness values.

• Korean Journal of Heritage: History & Science
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• v.42 no.4
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• pp.4-19
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• 2009

Though admitting that, in light of the recent archaeological trend, the excavation on relics of Sam-gama (a sort of kiln steaming the hemp) is increasingly reported, little efforts by far have been made not only to restore its traditional structure design but also to research hardly the change of hemp-steaming technologies in ages. In this regard, this paper shows the exploration of structural method and design as well as operability with regard to Sam-gut, traditional hemp-processing equipment that was recently reconstructed in Jungsun, Kangwon Province. Samgut, generally positioned at the waterside area, is an traditional device for steaming hemp to get bast fibers from the raw material of hemp, principally consisting of HWA-JIP(fire-place) to obtain steams by feeding fire ad Mong-got(boiling chamber) to make the hemp steamed after stacking. More specifically, thick round-logs were piled at the bottom of Hwajip prior to stacking stones around its circumferential area. When the timber positioned below gets burned with high temperature to heat stones existing in the upper side, waters then poured onto it after laying a bundle of grass and soil up to the boiled stones. If so, there generates hot vapor, which is conveyed to Monggot to steam the hemp. Functionally, it is of outstanding importance that Samgut is capable of producing high-temperature water vapors instantaneously under the intensive manpower, thus being constructed achievable for those purposes. The Samgut made by digging the ground is an instant facility that is closed after use. The remains, which were used to generate higher thermal power for steaming hemp, make it hard to excavate the historic traits because there left little vestiges in the soil, which means keen attention must be paid to find out the trace of Smgama relics. Future research stall be focused on collection of broader data regarding Samgut including technological review in extracting bas fibers from the hemp.