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基于层次分析(AHP)的山东林火风险区划研究
引用本文:黄宝华,张华,孙治军.基于层次分析(AHP)的山东林火风险区划研究[J].火灾科学,2014,23(4):225-232.
作者姓名:黄宝华  张华  孙治军
作者单位:中国科学院烟台海岸带研究所,烟台, 264003;烟台市地理信息中心,烟台, 264003;中国科学院大学,北京,100049;中国农业大学(烟台),烟台 264670;中国科学院烟台海岸带研究所,烟台, 264003;中国农业大学(烟台),烟台 264670
基金项目:烟台市科技发展计划项目 :“基于MODIS数据火险预警研究”(2009163);“山东海岸带遥感灾害监测”(2013ZH084)
摘    要:利用RS和GIS构建山东森林火险区划模型,模型采取4类指标:第一类是森林火灾发生和蔓延的气象条件,选用代表干湿状态的多年近地面平均气温和近地面空气比湿;第二类是森林燃烧物质基础,林火行为主体的森林植被类型和植被覆盖度;第三类是高程、坡度和坡向等森林火灾发生和蔓延的地形条件;第四类是距居民点距离、距道路距离和人口素质(农民纯收入指数)等火源条件。分析2001-2010年10年间各类指标因子与火点分布关系,利用层次分析法(AHP)确定火险因子权重构建了山东林火风险区划,用2011-2012年火烧迹地信息进行验证,其中火点落在大于或高于三级占到了95%以上。

关 键 词:遥感  地理信息系统  层次分析法  林火风险区划
收稿时间:2014/2/19 0:00:00
修稿时间:2014/7/10 0:00:00

Shandong forest fire danger division research based on analytic hierarchy process (AHP)
HUANG Bao-hu,ZHANG Hua and SUN Zhi-jun.Shandong forest fire danger division research based on analytic hierarchy process (AHP)[J].Fire Safety Science,2014,23(4):225-232.
Authors:HUANG Bao-hu  ZHANG Hua and SUN Zhi-jun
Institution:HUANG Bao-hua, ZHANG Hua, SUN Zhi-jun (1. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; 2. Geographic Information Center of Yantai City, Yantai 264003, China; 3. University of Chinese Acodemy of Science, Beijing 100049, China; 4. China Agriculture University(Yantai), Yantai 264670, China)
Abstract:A forest fire danger division model in Shandong province was established using RS and GIS technique. Four types of indexes are considered in the model. The first is the weather conditions of forest fire occurrence and spread, including annual average temperature and annual average near surface specific humidity which can represent dry and wet states. The second is concerned with the combustibility of forest materials, including vegetation type and vegetation coverage. The third is the terrain conditions of forest fire occurrence and spread, including DEM, slope and aspect. The fourth is the fire source conditions including the distance from fire points to residence, road and per capita net income index of farmers. The relationship between various indexes and the fire point distribution during the years of 2001-2010 was analyzed. The analytic hierarchy process (AHP) was used to determine the fire danger factors weights, and then the forest fire danger division of Shandong province was developed. Fire scars information from 2011 to 2012 was used to validate the forest fire danger model, for which the fire points above the third level accounted for 95%.
Keywords:Remote sensing  Geographic information system  analytic hierarchy process  forest fire danger division
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