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Development of Prediction Model of Fuel Moisture Changes in the Spring for the Pine Forest Located the Yeongdong Region(Focused on the Fallen Leaves and Soil Moisture Level)  

Lee, Si-Young (강원대학교 방재전문대학원)
Kwon, Chun-Geun (강원대학교 방재전문대학원)
Lee, Myung-Woog (한중대학교 공학부)
Lee, Hae-Pyeong (강원대학교 소방방재학부)
Cha, Joo-Young (북해도대학 북방생물권필드과학센타)
Publication Information
Fire Science and Engineering / v.24, no.2, 2010 , pp. 67-75 More about this Journal
Abstract
The fuel moisture changes accompanying with the elapsed days after a rainfall is very important to predict the risk of forest fire and make a good use of forest fire guard. So, to investigate the conditions for the risk of forest fire, it was studied the risk of forest fire for fallen leaves level, rotten level, and soil level after more-than-5 mm-rainfall according to the different forest density of pine forests which were located in Yeong-dong region in the Spring of 2007. The result of the study showed that the around 17% of fuel moisture which was the risky level for forest fire was reached after three days of a rainfall in the coarse dense forest region and after five days in the medium or highly dense forest region. However, for the rotten level represents more than 30% of fuel moisture even after six days after the rainfall, and the lower and upper level of the soil represented a slight or almost no changes. Based on the result, the prediction model ($R^2$=0.56~0.87) for the change of fuel moisture was developed, and it was examined by applying to actual meteorological measurements in the same period of 2008. It showed a meaningful result of 1% level of distinction.
Keywords
Forest fire; Fuel moisture; Forest density; Prediction model;
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연도 인용수 순위
  • Reference
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