• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2009.04a
• /
• pp.548-556
• /
• 2009

본 연구에서는 산불발생 시 삼림 내 가연물의 화재강도 및 산불위험성을 예측하기 위하여 영동지역에서 자생하는 관목류 가운데 주요 분포수종으로 생강나무와 초피나무를 대상으로 생엽과 가지부위를 채취하여 착화특성, 화재전파특성, 피난특성을 고찰하였다. 발화온도 범위는 400$^{\circ}C$${\sim}$440$^{\circ}C$로 확인되었으며 생강나무의 생엽은 착화가 가장 빠르게 개시되었으며 가지부위는 생엽보다 착화는 늦으나 착화 후 화염유지시간이 길고 비교적 빠른시간에 많은 열량을 방출하는 것으로 나타났으며 초피나무의 가지부위는 연기방출량과 CO 및 $CO_2$의 방출량이 많은 것을 확인할 수 있었다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.4 no.3
• /
• pp.41-50
• /
• 2001

Recently our nature of environment has destroyed by a large scaled forest fire. In order to manage these forest fires, forecasting of it is considered as the most important thing. In this paper the database related to forest fire was first built and the efficient forest fire information management system was implemented by using GIS. The main goal of this system is that forest fire managers have GUI(graphic user interface) to analyze data of forest fire effectively and update and retrieve information in database. For the efficient GUI, this system is built in Visual Basic 6.0 and Map Object 2.0. Map Object 2.0 is combined to have various and powerful functionality of GIS analysis as component ware. The Oracle 8.0 is used as DBMS in this study to manage all the spatial and attributed information in database effectively. In the future, this system will play a critical role as making a decision supporting system for scientific forest fire protection and help real time forest fire hazard information offers service for public welfare administration business management.

• Fire Science and Engineering
• /
• v.23 no.4
• /
• pp.32-39
• /
• 2009

In this study, 18 plots were selected for particular investigation on Gangneung area and Samcheok area and Uljin area, where forest fire was occurred after thinning in 2007. After selection, a relationship between a damage of forest fire and thinning were compared and analyzed. Many factor such as a damaged species, a thinning or non-thinning, a direction of forest fire head, DBH, a height of tree, a mortality of tree, a leeward scorching ratio, a crown damage ratio, a forest tree standing crop density, a crown base height, a leaving of thinning slash, a location of plot (GPS), elevation, an aspect of slope, an angle of slope, and a topography were measured. Therefore, we analyzed a relationship with forest fire. In the result of this analysis, it was founded that the leeward scorching ratio was 24.7% on thinning area whereas 60.2% on non-thinning area. Subsequently, leeward scorching ratio on thinning area was increased by about 35.5% more than on non-thinning area. In the result of analysis about tree species, a forest of pine tree was more damaged than forest of oak tree. The mortality of tree was increased by about 41.4% on non-thinning area. When stands were close to thinning slashes, these were more damaged by 10${\sim}$20% than other stands for increasing of amount of a combustion material. Especially, as potential of re-ignition increased for more cumulated thinning slash, it will be more important to require a method for a periodical removing or practical utilization of slash.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2010.04a
• /
• pp.429-432
• /
• 2010

본 연구에서는 산불발생 시 산림 내 연료들의 화재위험성을 분석하고자 산불에 취약한 소나무류(적송, 해송, 리기다소나무)의 솔방울을 대상으로 착화특성과 발연특성을 고찰하였다. 연료는 대형 산불이 빈번하게 발생하는 강원도 동해안 지역에서 채취하였다. 적송과 해송의 솔방울은 26%와 27%로서 함수율 차이가 크지 않았으며, 발화온도는 $380^{\circ}C$ 정도인 것으로 나타났다. 반면, 리기다소나무의 솔방울은 33%의 수분을 함유하였으며, 발화온도는 $352^{\circ}C$ 정도인 것으로 나타났다. 또한, 적송 솔방울의 최대연기밀도는 924Ds로서 해송의 599Ds와 리기다소나무의 605Ds 보다 상대적으로 높았으며, 690s~732s 시간영역에서 최대값을 보이는 것으로 나타났다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
• /
• 2012.07a
• /
• pp.120-124
• /
• 2012

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.97-97
• /
• 2023

최근 재해분야에서 인공신경망(ANN), 기계학습(ML), 딥러닝(DL) 등 AI 기술이 활용성이 점차 증가하고 있으며, 센싱정보와 연계한 시설물 안전관리, 원격탐사와 연계한 재해감시(녹조, 산사태, 산불 등), 수문시계열(수위, 유량 등) 예측, 레이더·위성강수 자료의 보정과 예측, 상하수도 관망누수예측 등 다양한 분야에서 AI 기술이 적용되고 그 활용성이 검증된 바 있다. 본 연구에서는 ML, DL, 물리기반신경망(Pysics-informed Neural Networks, PINNs)을 이용한 다양한 재해분석 사례를 소개하고, 그 활용성과 한계에 대해서 논의하고자 한다. 주요사례로는 (1) SAR영상과 기계학습을 이용한 재해피해지역(울진 산불) 감지, (2) 국가 디지털 정보를 이용한 산사태 위험지역 판별(인제 산사태) (3) 기계학습 및 딥러닝 기법을 이용한 위성강수 자료의 보정·예측 및 유출해석, (4) 수리해석을 위한 수치해석분야에서의 PINNs의 적용성(1차원 Saint-Venant 식 해석) 평가 연구결과를 공유한다. 특히, 자료의 입·출력 자료만으로 학습된 인공신경망 모형 대신 지배방정식(물리방정식)을 만족하도록 강제한 PINNs의 경우, 인공신경망 모형보다 우수한 모의능력을 보여주었으며, 향후 복잡한 수리모델링 등 수치해석분야에서 그 활용가능성이 매우 높을 것으로 판단된다.

• Fire Science and Engineering
• /
• v.24 no.4
• /
• pp.18-26
• /
• 2010

The change of fuel moisture according to the passed days after a raindrop is very important to forecast risk of forest fire and to make a good use of forest fire watchmen. For that reason, in the Spring of 2007, we researched pine forest that were widespread growing in Yeongdong region to find out the condition of forest fire risk. We developed the forecast model of fuel moisture change on dead tree branches which were dropped on the ground and less than 0.6 cm, 0.6~3.0 cm, 3.0~6.0 cm, and more than 6.0 cm in diameter after more than 5.0 mm in precipitation. The result showed that the less diameter of ground fuel and small stand of pines the faster diminishing of fuel moisture, and the days of reaching to a forest fire danger fuel moisture level were represented by two (2) days for less than 0.6 cm diameter of small stand of pine and three (3) days for 0.6~3.0 cm diameter one, respectively. By those results, we developed the forecast model($R^2=0.76{\sim}0.92$) of fuel moisture change on different diameter of small stand of pine, and found that the model had statistical significant of 1% level after we applied it to the data of 2008 after the same period of raindrop by actual meteorological measurement.

• Fire Science and Engineering
• /
• v.13 no.1
• /
• pp.31-36
• /
• 1999

This paper contained an actual investigation of a wildfire which broke out on 23 April R 1996 in Go-sung Kun, Kang-won Do examined the calories and the total calories of the m main trees which were Quercus variabillis and Pinus densiflora. There were three important f fire spread factors which were weather condition, fuel condition and terrain. The weather c condition was the most dangerous alarm level. The fuel condition having a high calory v value, Pinus densiflora made up 63% of the forest. Terrain of the forest were mostly c covered by steep slopes and complicated line construction. This experimental calorie study a about Pinus densiflora and Quercus variabillis showed that Pinus densiflora had 13,34kcal/g a and Quercus variabillis had 9.64kcal/g. In the case of weight loss of pyrolysis, Pinus densiflora had a higher percentage rated 35.71~10.05% than Quercus variabillis. Accordingly, Pinus densiflora showed lower than Quercus variabillis in heat resistance.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.12 no.2
• /
• pp.1-10
• /
• 2009

Recently the large scale of forest disaster such as landslide and forest fire gives a very bad impact on not only forest ecosystem but also farm business so that it has became the main issue of environmental problems. In this study, the landslide hazard area forecast method was developed by considering not only the topographic thematic maps based on GIS and satellite images but also amount of rainfall data, which are very important factors of landslide. Uljin-gun was selected as the study area and the GIS weight score and overlay analysis were applied to topographical map and meteorological observation map. Finally the landslide area distribution map was constructed by considering the evaluation criteria. Also, the accuracy could be acquired by comparing the landslide hazard area forecast map and real damaged area extracted from satellite image.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.521-522
• /
• 2011

본 논문에서는 특정 위치를 비행하는 무인항공기를 이용하여 현재 위치의 수집된 센서 정보, GPS 수신정보, 영상정보를 무선통신을 이용하여 전송하는 정보 전송시스템을 구현한다. 무인항공기에 부착된 센서, GPS수신기, 소형카메라를 통해 산불 및 자연재해를 감지하고, 무선통신을 이용하여 감지된 위치의 정보들을 사용자에게 전송한다. 제안된 시스템은 위험 지역에 사람이 직접 가지 않고도 실시간 위험 상황을 파악 및 신속한 대처가 가능하다.