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전기저항 값을 이용한 산불지상연료 습도 추정에 관한 연구
염찬호(Yeom Chan Ho),원명수(Won Myoung Soo),이시영(Lee Si Young),윤석희(Yoon Suk Hee),박흥석(Park Houng Sek) 한국방재학회 2018 한국방재학회지 Vol.18 No.4
본 연구에서는 산불의 발생과 확산 위험성의 지표인 산림연료의 수분함량과 산불위험도의 변화를 예측하기 위한 산림연료습도 측정센서를 제작하여 전기저항 값과의 관계구명을 위한 실험을 실시하였다. 산림연료습도 센서에서 사용된 표준연료의 재질은 기선정된 소나무(길이 50 cm, 직경 1.5 cm)를 선정하여 산림연료습도 측정센서 함수율의 변화 추이에 따라 전기저항 값의 변화를 측정하였다. 측정결과를 통해 함수율을 전기저항을 통해 추정하는 환산식(전기저항=2E(E : Exponent of 10) + 13X(X :함수율) -9.705(R²=0.947))을 도출하였다. 이를 통해, 산불의 발생, 확산과 강도를 예측할 수 있는 기술의 개발에 도움을 줄 것으로 예상되며, 산불위험 예보기술의 고도화를 위한 기초자료 제공이 될 것으로 기대된다. In this studies, we tested for investigating the relationship between a fuel moisture and an electrical resistance which was main factor for making forest fuel moisture sensor. This sensor was made for forecasting a forest fire danger rating which was concerned with forest fuel moisture contents. The standard fuel for using sensor was made by pine tree, stick shaped. (The length was 50 cm and The diameter was 1.5 cm). We measured the electrical resistance change according to fuel moisture weight change in the standard fuel. In results, we developed the conversion formula for estimating a fuel moisture in forest(electrical resistance=2E (E : Exponent of 10) + 13X (X : fuel moisture) - 9.705, R²=0.947) This formula would give a help for development of techniques about estimating a forest fire ignition, a propagation and severity and for the construction of base data for advanced forest fire forecasting.
산불피해지역에서 숲 가꾸기 실행유무가 산불에 미치는 영향
이시영,이명욱,염찬호,권춘근,Lee. Si-Young,Lee. Myung-Woog,Yeom. Chan-Ho,Kwon. Chun-Geun 한국방재학회 2008 한국방재학회 학술발표대회논문집 Vol.2008 No.1
Comparative analysis of forest fire danger rating on the forest characteristics of thinning area and non-thinning area on forest fire burnt area was studied in this work. To investigate the effect of thinning slash in forest fire, Gangneung-si Wangsan-myeon, Ulgin-gun Wonnam-Myeon, Samchok-si Gagok-Myeon, in which forest fire broke out, were selected. As a result that investigated forest fire danger ratio between thinning slash and non-thinning slash, leeward scorching ratio(36%), crown damage ratio(29%), mortality of branch at the former are higher than those at the latter, leeward scorching ratio of tree, where thinning slash is around, is 10%-20% higher than that of independent tree. So I estimate that thinning slash has a some effect on the intensity of forest fire. And the result to investigate damage of forest fire according to tree species shows that leeward scorching ratio of conifer is 5% higher than that of non-conifer, and mortality of branch of the former is 19% higher than that of the latter. It is considered that forest fire may affect directly to a tree trunk if it diffuse to piled thinning tree because there was no space between thinning trees and trees. Furthermore, it was found that re-ignition had a chance to occur due to lots of piled thinning trees.
이시영(Lee, Si-Young),이명욱(Lee, Myung-Woog),염찬호(Yeom, Chan-Ho),권춘근(Kwon, Chun-Geun),박흥석(Park, Houng-Sek),이해평(Lee, Hae-Pyeong) 한국화재소방학회 2008 한국화재소방학회 학술대회 논문집 Vol.2008 No.춘계
Forest fire danger rate of thinning area was lower than that of non thinning area, because height rate of leewardside in burned stem of tree, damage rate of crown and mortality of tree in thinning area were 30.8%, 37% and 48.4% lower than that in non-thinning area, respectively. Intensity of forest fire varied depending upon topographical condition up slope, down slope, aspect, location as well as species, breast height diameter and forest tree density. Especially, a mountaintop area was burned down when forest fire was spread to up slope ridge of mountain.
영동지역 봄철 소나무림에서 강우후 지표연료 직경별 연료습도변화 예측모델 개발 및 검증
이시영(Lee, Si-Young),이명욱(Lee, Myung-Woog),권춘근(Kwon, Chun-Geun),염찬호(Yeom, Chan-Ho),이해평(Lee, Hae-Pyeong) 한국화재소방학회 2008 한국화재소방학회 학술대회 논문집 Vol.2008 No.추계
In this study, we developed a fuel moisture variation prediction model on each day after precipitation during a spring forest fire exhibition period. For this research, we selected plots in pine forest on Sam-Chuck si and Dong-hae si in Kangwon do according to a forest density(low, mediate, high) and classified a surface woody fuel by a diameter.(below 0.6cm, <TEX>$0.6{\sim}3cm$</TEX>, <TEX>$3{\sim}6cm$</TEX>, and above 6cm). A validity of this model was verified by applying a fuel moisture variation after precipitation in this spring. In the result, <TEX>$R^2$</TEX> was <TEX>$0.76{\sim}0.92$</TEX>. This model will be a useful for improvement of a forest fire danger rate forcast through a prediction a fule moisture in forest.