Lightning-caused Forest Fires Risk Assessment Based on Historical Fires Events in DaXingAn Mountains of China

被引:0
|
作者
Liu Wenliang [1 ,2 ]
Wang Shixin [1 ]
Zhou Yi [1 ]
Wang Litao [1 ]
Zhang Shujie [2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
来源
DISASTER ADVANCES | 2010年 / 3卷 / 04期
关键词
lightning-caused forest fires risk assessment; historical fires events; logistic regression; FUEL MOISTURE-CONTENT; SATELLITE; DANGER; VEGETATION; EVOLUTION; MODELS; NDVI;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Lightning is a dangerous natural source of ignition, which has been the main cause of forest fires in some countries. DaXingAn Mountains area is the largest natural frigid-temperate zone coniferous forest ecosystem, but it is also one of the serious areas under the influence of lightning-caused fires in China, Therefore, it is very useful to predict the lightning-caused fires occurrence. In this paper, 238 records of lightning-caused forest fires and MODIS 8-day combined reflectance product and LST product were collected. LST, EWT; NDVI, TCI, VCI and WCI were derived to express the weather and vegetation condition from the MODIS data, meanwhile DEM, Slop, Relief and RPI were also calculated as topographic parameters. With these ten fire environment condition parameters, a logistic regression model was built to predict the probability of lightning-caused forest fire occurrence. The result showed that the accuracy of prediction was 63.4%, which was much helpful for the forest managers to prevent fires.
引用
收藏
页码:143 / 147
页数:5
相关论文
共 50 条
  • [31] Spatial patterns of lightning-ignited forest fires in Daxing'an mountains, Heilongjiang province, China, 1973-1997
    Guo FuTao
    Hu HaiQing
    Sun Long
    Ma ZhiHai
    ENVIRONMENTAL BIOTECHNOLOGY AND MATERIALS ENGINEERING, PTS 1-3, 2011, 183-185 : 2268 - +
  • [32] FOREST FIRES IN CATALONIA: FROM RISK ASSESSMENT TO FIRE MANAGEMENT
    Faerber, Johanna
    SUD-OUEST EUROPEEN, 2009, (28): : 77 - 90
  • [33] Historical trends of forest fires and carbon emissions in China from 1988 to 2012
    Zhang, Yujin
    Qin, Dahe
    Yuan, Wenping
    Jia, Bingrui
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2016, 121 (09) : 2506 - 2517
  • [34] Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains, China
    Chao Zhong
    Meng Guo
    Fenfen Zhou
    Jianuo Li
    Fangbing Yu
    Futao Guo
    Wenshan Li
    Journal of Forestry Research, 2023, 34 : 623 - 640
  • [35] Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains,China
    Chao Zhong
    Meng Guo
    Fenfen Zhou
    Jianuo Li
    Fangbing Yu
    Futao Guo
    Wenshan Li
    Journal of Forestry Research, 2023, (03) : 623 - 640
  • [36] Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains, China
    Zhong, Chao
    Guo, Meng
    Zhou, Fenfen
    Li, Jianuo
    Yu, Fangbing
    Guo, Futao
    Li, Wenshan
    JOURNAL OF FORESTRY RESEARCH, 2023, 34 (03) : 623 - 640
  • [37] Forest succession trajectories after fires in valleys and on slopes in the Greater Khingan Mountains,China
    Chao Zhong
    Meng Guo
    Fenfen Zhou
    Jianuo Li
    Fangbing Yu
    Futao Guo
    Wenshan Li
    JournalofForestryResearch, 2023, 34 (03) : 623 - 640
  • [38] Forest Fire Patterns and Lightning-Caused Forest Fire Detection in Heilongjiang Province of China Using Satellite Data
    Jiao, Qiangying
    Fan, Meng
    Tao, Jinhua
    Wang, Weiye
    Liu, Di
    Wang, Ping
    FIRE-SWITZERLAND, 2023, 6 (04):
  • [39] Modeling and risk assessment for soil temperatures beneath prescribed forest fires
    Preisler, HK
    Haase, SM
    Sackett, SS
    ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2000, 7 (03) : 239 - 254
  • [40] Modeling and risk assessment for soil temperatures beneath prescribed forest fires
    Haiganoush K. Preisler
    Sally M. Haase
    Stephen S. Sackett
    Environmental and Ecological Statistics, 2000, 7 : 239 - 254