• Title/Summary/Keyword: 직경별 지표연료

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Analysis of surface Fuel Moisture Contents Change after precipitation at Pine forests during the Autumn (가을철 소나무림에서의 강우 후 지표연료의 연료습도 변화분석)

  • Kwon, Chun-Geun;Lee, Si-Young;Lee, Myung-Woog;Lee, Hae-Pyeong
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2010.04a
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    • pp.433-437
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    • 2010
  • 가을철 산불조심기간 중 영동지방(동해, 삼척) 침엽수림에 대하여 임분밀도별(소임분 800본/ha, 중임분 800-2000본/ha, 밀임분 2000본/ha 이상) 직경별 지표연료를 0.6cm 이하, 0.6~3.0cm, 3.0~6.0cm, 6.0cm 이상에 대하여 연료습도 변화를 실측한 결과 0.6cm 이하의 경우소임분은 3일차 되는 날 중, 밀입분은 4,5일차에 산불 초기 발화위험성이 나타났으며, 0.6~3.0cm의 경우 강우 익일 후 62-75%의 높은 연료습도를 보이고 있었으며, 소임분은 강우 후 5일차에 산불 초기발화 위험성이 시작되었다. 0.6~3.0cm의 경우 강우 익일에는 75-98%의 연료습도를 나타냈고, 소임분의 경우 6일차에 산불 초기발화 위험성이 시작되었다. 6.0cm 이상의 경우는 6일이 경과하여도 임분별 35-50%의 연료습도를 유지하고 있어서 산불 초기발화 위험성이 적은 것으로 조사 되었다.

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Comparison of Surface Fuel and Soil Layer Moisture after Rainfall in Broad-Leaved Forest at Young Dong Region (영동지역 활엽수림에서의 강우 후 지표연료의 습도변화 분석)

  • Kwon, Chun-Geun;Lee, Si-Young;Lee, Hae-Pyeong
    • Fire Science and Engineering
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    • v.26 no.1
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    • pp.49-60
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    • 2012
  • The change in fuel moisture in accordance with the number of days after rainfall is an important factor in predicting forest fire dangers and supporting forest fire rangers. Therefore, in order to clear up these forest fire occurrence conditions, forest fire danger levels for surface fuel 0.6 cm or lower, 0.6~3.0 cm, 3.0~6.0 cm, and 6.0 cm or above by fallen leaves layer, humus layer, soil layer, and diameter after rainfall of 5.0 mm and higher in accordance with tree density in 2008, 2009 Spring/Autumn Young Dong region have been analyzed. Research showed an approximate 17 % fuel moisture which is a dangerous forest fire occurrence level after 5 days from rainfall in medium-density areas and 3 days after rainfall in loose-density areas of Spring time in the fallen leaves layer. On the other hand, the humus layer showed a 40 % or higher fuel humidity even after 6 days from rainfall regardless of the season, while the upper and lower parts of the soil layer had a little change. In loose-density areas with 0.6 cm or less surface fuel per diameter in Spring time, the fuel humidity displayed a dangerous level in fire forest occurrence after 3 days, and 4days in medium-density areas, and for loose-density areas with 0.6~3.0 cm surface fuel per diameter in Autumn time it showed a dangerous level in forest fire occurrence after 3 days, and for medium-density areas, 5 days. In the case of 3.0~6.0 cm of fuel moisture per diameter in both Spring and Autumn times, even after 6 days, low and medium-density areas showed that they maintain fuel moisture and therefore the dangers of forest fires were very low, and in the case of 6.0 cm or higher, it showed 25 % or higher fuel moisture even after 6 days from rainfall regardless of the season.

Development of surface fuels humidity variation prediction model after precipitation at Deciduous forests during the Autumn (가을철 소나무림에서 강우 후 지표연료 습도변화 예측모델 개발)

  • Kwon, Chun-Geun;Lee, Si-Young;Lee, Hae-Pyeong
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2010.10a
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    • pp.380-384
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    • 2010
  • 본 연구는 가을철 산불조심기간 중 영동지방 활엽수림에 대하여 임분별로 강우 후 익일부터 6일간 임내의 지표연료를 직경별 0.6cm 이하, 0.6~3.0cm, 3.0~6.0cm, 6.0cm 이상에 대한 연료습도 변화를 실측하는 한편, 기상인자를 고려한 통계분석을 실시하여 경과일수별 연료습도추정 예측식을 개발하였다. 결정계수인 $R^2$ 값은 0.75~0.90의 적합성을 나타내었으며, 향후 강우 후 기상자료를 이용하여 임내 연료습도를 예측하여 산불위험예보로 활용하는데 매우 유용한 자료로 이용할 수 있을 것으로 판단된다.

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Development of Prediction Model of Fuel Moisture Changes After Precipitation in the Spring for the Pine Forest Located the Yeongdong Region (Focused on the Down Wood Material Diameter) (영동지역 봄철 소나무림에서 강우후 연료습도변화 예측모델 개발 (지표연료 직경두께를 중심으로))

  • Lee, Si-Young;Kwon, Chun-Geun;Lee, Myung-Woog;Lee, Hae-Pyeong
    • Fire Science and Engineering
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    • v.24 no.4
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    • pp.18-26
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    • 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.

The model development and verification for surface branch wood fuels moisture prediction after precipitation during spring period at the east coast region (영동지역 봄철 소나무림에서 강우후 지표연료 직경별 연료습도변화 예측모델 개발 및 검증)

  • Lee, Si-Young;Lee, Myung-Woog;Kwon, Chun-Geun;Yeom, Chan-Ho;Lee, Hae-Pyeong
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2008.11a
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    • pp.434-437
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    • 2008
  • 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, $0.6{\sim}3cm$, $3{\sim}6cm$, and above 6cm). A validity of this model was verified by applying a fuel moisture variation after precipitation in this spring. In the result, $R^2$ was $0.76{\sim}0.92$. This model will be a useful for improvement of a forest fire danger rate forcast through a prediction a fule moisture in forest.

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