Model and zoning of forest fire risk in Heilongjiang province based on spatial Logistic

被引:0
作者
Deng, Ou [1 ,2 ]
Li, Yiqiu [2 ,3 ]
Feng, Zhongke [1 ]
Zhang, Dongyou [4 ]
机构
[1] Institute of Geomatics and Geographic Information System, Remote Sensing and Global Positioning System, Beijing Forestry University
[2] Department of Resource and Environment, Mianyang Normal University
[3] Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
[4] Department of Life and Environment, Harbin Normal University
来源
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2012年 / 28卷 / 08期
关键词
Forest fire; Heilongjiang province; Logistics; Risks; Zoning;
D O I
10.3969/j.issn.1002-6819.2012.08.031
中图分类号
学科分类号
摘要
Forest fire risk analysis and forest fire risk zoning are important parts of the forest fire management. MODIS burn scars of remote sensing data sets MCD45A1 of Heilongjiang Province in 2000-2010 was used to build the spatial logistic forest fire risk model based on the spatial distribution of forest fire and forest fire impact factor by using geographic information system technology. Forest fire risk zoning study was conducted in a larger temporal scale and provincial spatial scale. Logistic model of forest fire risk built by spatial sampling between the distribution of forest fires and forest fire impact factor fit well (p<0.05). The relative operating characteristic value was 0.753 and the probability distribution map of forest fire was gotten by layer computing. Forest fire area of Heilongjiang province was divided into none, low, moderate, high, and extremely high fire risk zones. Extremely high and high fire risk zone were located at Great Xing'an Mountain, while high or moderate fire risk area at Xiaoxing'an Mountain basically. Small parts of the eastern mountain were in moderate fire risk, and other areas in low or none fire risk. Quantitative and positioning evaluation of the forest fire in Heilongjiang province provides scientific basis for the prevention of forest fire fighting and rescue work.
引用
收藏
页码:200 / 205
页数:5
相关论文
共 24 条
  • [1] Yin H., Kong F., Li X., GIS-based forest fire risk zone mapping in Daxing An mountains, Chinese Journal of Applied Ecology, 16, 5, pp. 833-837, (2005)
  • [2] Gao C., Yan Y., Gu X., Et al., XVIII Station forestry administration forest fire risk zone, Forest Science and Technology, 19, 2, pp. 33-34, (1994)
  • [3] Shu L., Tian X., Kou X., The focus and progress on forest research, World Forestry Research, 16, 3, pp. 37-40, (2003)
  • [4] Chapman D.M., Gao R., Management of forest fire in Australia and fire ecology, Chinese Journal of Applied Ecology, 5, 4, pp. 409-414, (1994)
  • [5] William A.T., Ilan V., Hans S., Et al., Using forest fire hazard modeling in multiple use forest management planning, For Ecol Man, 134, 2, pp. 163-176, (2000)
  • [6] Guo P., Sun G., Zhou D., Et al., Study on fire behavior in grassland, Chinese Journal of Applied Ecology, 12, 5, pp. 746-748, (2001)
  • [7] Zhang L., Song S., Researchs on the knowledgable decision support system and its application in the decision on forest fire extinguishment, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 11, 2, pp. 37-41, (1995)
  • [8] Lazaros S.I., Anastasios K.P., Panagiotis D.L., A computer-system that classifies the prefectures of Greece in forest fire risk zones using fuzzy sets, For Policy Econ, 4, 1, pp. 43-54, (2002)
  • [9] Michael J.J., Michael B.J., Gloria F., Near-real time mapping of Keetch-Byram drought index in the southeastern United States, Inter J Wildfire, 11, 4, pp. 281-289, (2002)
  • [10] Wang C., Wang J., Liu J., Et al., Ecological risk assessment of forest resource in northeast China, Chinese Journal of Applied Ecology, 14, 6, pp. 863-866, (2003)