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http://dx.doi.org/10.11108/kagis.2016.19.4.146

Large Fire Forecasting Depending on the Changing Wind Speed and Effective Humidity in Korean Red Pine Forests Through a Case Study  

KANG, Sung-Chul (Graduate School of Disaster Prevention, Kangwon National University)
WON, Myoung-Soo (Center for Forest and Climate Change, National Institute of Forest Science)
YOON, Suk-Hee (Center for Forest and Climate Change, National Institute of Forest Science)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.19, no.4, 2016 , pp. 146-156 More about this Journal
Abstract
In this study, we developed a large fire forecasting system using critical weather conditions, such as strong winds and effective humidity. We incorporated information on forest type prior to large fires using an incident case study. The case study includes thirty-seven large fires covering more than 100 ha of damaged area over the last 20 years. Dangerous large fire regions were identified as areas of more than 30 ha of Korean red pine and the surrounding two kilometers. Large fires occur when wind speeds average 5.3 m/s with a maximum of 11.6 m/s and standard deviation of 2.5 m/s. Effective humidity for large fires average 30% with a minimum of 13% and standard deviation of 14.5%. In dangerous Korean red pine stand areas, the large fire 'Watch' level is issued when effective humidity is 30-45% for more than two days and average wind speed is 7-10 m/s. The 'Warning' level is issued when effective humidity is less than 30% for more than two days and average wind speed is more than 11 m/s. Therefore, from now on, the large fire forecasting system can be used effectively for forest fire prevention activities based on a selection and concentration strategy in dangerous large fire regions using severe weather conditions.
Keywords
Large Fire Forecasting; Korean Red Pine Stand; Effective Humidity; Wind;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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