CHOSUN

An Impact Analysis and Prediction of Disaster on Forest Fire

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Author(s)
Youn Su Kim Yeong Ju Lee In Hong Chang
Issued Date
2020
Keyword
Correlation Analysis Damaged Amount Damaged Area Extinguishment Manpower Forest Fire Moderated Multiple Regression Analysis
Abstract
This study aims to create a model for predicting the number of extinguishment manpower to put out forest fires by taking into account the climate, the situation, and the extent of the damage at the time of the forest fires. Past research has been approached to determine the cause of the forest fire or to predict the occurrence of a forest fire. How to deal with forest fires is also a very important part of how to deal with them, so predicting the number of extinguishment manpower is important. Therefore predicting the number of extinguishment manpower that have been put into the forest fire is something that can be presented as a new perspective. This study presents a model for predicting the number of extinguishment manpower inputs considering the scale of the damage with forest fire on a scale bigger than 0.1 ha as data based on the forest fire annual report(Korea Forest Service; KFS) from 2015 to 2018 using the moderated multiple regression analysis. As a result, weather factors and extinguished time considering the damage show that affect forest fire extinguishment manpower.
Publisher
조선대학교 기초과학연구원
Citation
Youn Su Kim. (2020). An Impact Analysis and Prediction of Disaster on Forest Fire, 조선자연과학논문집 | Vol.13, No.1 p.34 ~ p.40
Type
Laboratory article
ISSN
2005-1042
URI
http://oak.chosun.ac.kr/handle/2020.oak/16415
http://www.chosun.ac.kr/user/indexSub.do?codyMenuSeq=24427455&siteId=ricns&dum=dum&boardId=175013&page=1&command=view&boardSeq=315151&categoryId=315118&categoryDepth=00140001
Appears in Collections:
2020 > Vol.13, No.1
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