• 한국방재학회:학술대회논문집
• /
• 2008.02a
• /
• pp.161-164
• /
• 2008

We studied a basic concept and application about FARSITE, which is a forest fire spread simulator for preventing and predicting fire in United States Department of Agriculture(USDA). And, we researched a problem in the transition for introducing, so we serve the basic method for prevention and attacking fire. For this transition, we compared the behavior of the 2005 Yangyang forest fire with the result of a simulation. The spread direction is similar to real data. But, while mean spread of rate was 0.65km/hr on real data, it was 0.3km/hr on simulation. As Damaged area is 1,387ha on real, it was 5,368ha on simulation. Therefore, it is necessary to establish a fuel concept for more accurate simulation.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2008.11a
• /
• pp.490-494
• /
• 2008

We simulated a forest fire which was occurred in Yangyang area on 2005 and compared a results between two different weather conditions(real weather condition and mean weather condition since 1968) using FARSITE, which is a forest fire spread simulator for preventing and predicting fire in USDA. And, we researched a problem in the transition for introducing, so we serve the basic method for prevention and attacking fire. In the result, severe weather condition on 2005 effected a forest fire behavior. The rate of spread under real weather condition was about 4 times faster than mean weather condition. Damaged area was about 10 time than mean weather condition. Therefore, Climate change will make a more sever fire season. As we will encounter to need for accurate prediction in near future, it will be necessary to predict a forest fire linked with future wether and fuel condition.