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RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS
作者姓名:YIN Hai-wei  KONG Fan-hua    LI Xiu-zhen
作者单位:1. Department of Urban and Resources Sciences,Nanjing University,Nanjing 210093,P. R. China; 2. Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,P. R. China; 3. Graduate School for International Development and Cooperation,Hiroshima University,Kagamiyama 739-8529,Japan
基金项目:Under the auspices of the National Natural Science Foundation of China (No. 30270225,40331008) and Chinese Academy of Sciences (No. SCXZY0102)
摘    要:1INTRODUCTIONForests are one of the major natural resources that per-form important environmental and recreational func-tions (COSTANZA and GROOT, 1997). It is well known that forests can absorb atmospheric carbon, maintain a certain degree of humidity in atmosphere, regulate rainfall, moderate temperature, and restrain soil erosion, etc. (AURELIA, 2003). So, the health of a forest in any given area is a very important indicator of the ecological conditions. But fire is the great…

关 键 词:无线电高空测量  地理信息系统  RS  GIS  森林火灾

RS and GIS-based forest fire risk zone mapping in da hinggan mountains
YIN Hai-wei,KONG Fan-hua ,,LI Xiu-zhen.RS AND GIS-BASED FOREST FIRE RISK ZONE MAPPING IN DA HINGGAN MOUNTAINS[J].Chinese Geographical Science,2004,14(3):251-257.
Authors:Yin Hai-wei  Kong Fan-hua  Li Xiu-zhen
Institution:YIN Hai-wei1,KONG Fan-hua 2,3,LI Xiu-zhen2
Abstract:The Da Hinggan Mountains is one of the most important forest areas in China, but forest fire there is also of high frequency. So it is completely necessary to map forest fire risk zones in order to effectively manage and protect the forest resources. Two forest farms of Tuqiang Forest Bureau (53°34′–52°15′N,124°05′–122°18′E) were chosen as typical areas in this study. Remote sensing (RS) and Geographic Information System (GIS) play a vital role and can be used effectively to obtain and combine different forest-fire-causing factors for demarcating the forest fire risk zone map. Forest fire risk zones were described by assigning subjective weights to the classes of all the coverage layers according to their sensitivity to fire, using the ARC/INFO GIS software. Four classes of forest fire risk ranging from low to extremely high were generated automatically in ARC/INFO. The results showed that about 60.33% of the study area were predicted to be upper moderate risk zones, indicating that the forest fire management task in this area is super onerous. The RS and GIS-based forest fire risk model of the study area was found to be highly compatible with the actual fire-affected sites in 1987. Therefore the forest fire risk zone map can be used for guidance of forest fire management, and as basis for fire prevention strategies.
Keywords:forest fire risk zone  RS  GIS  Da Hinggan Mountains  
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