Division of forest fuel type areas of Heilongjiang Province by using GIS

Shan Yan-long , Hu Hai-qing , Liu Bao-dong , Li Xue-feng

Journal of Forestry Research ›› 2002, Vol. 13 ›› Issue (1) : 61 -66.

PDF
Journal of Forestry Research ›› 2002, Vol. 13 ›› Issue (1) : 61 -66. DOI: 10.1007/BF02857148
Article

Division of forest fuel type areas of Heilongjiang Province by using GIS

Author information +
History +
PDF

Abstract

Eight factors, including forest coverage, fuel load, species composition, elevation, monthly mean temperature, monthly mean relative humidity, monthly mean wind velocity, and monthly mean precipitation of fire season, were considered and the methods of weight, the cumulative probability, ARC/INFO technique, and raster-to-vector conversion were adopted in division of forest fuel type area. Firstly, the electronic maps of forest distribution and administrative divisions were built, then overlaid and transformed to the real-world coordinates. Finally, the forest fuel type areas of Heilongjiang Province including 81 counties were divided into five grades, accounting for 16%, 17%, 17%, 11%, and 38% respectively. The grade I fuel type areas with highest fire danger rating mainly distributed on Daxing’anling Mountains, Xiaoxing’anling Mountains, and Zhangguangcailing Mountains, the grade V fuel type areas mainly centralized on Songnen Plain, Sanjiang Plain, and other Plains, and other forest fuel type areas (grades II, III, and IV) were situated between plains and mountainous areas.

Keywords

GIS / Forest fuel type / ARC/INFO / Heilongjiang Province / S762.2 / A

Cite this article

Download citation ▾
Shan Yan-long, Hu Hai-qing, Liu Bao-dong, Li Xue-feng. Division of forest fuel type areas of Heilongjiang Province by using GIS. Journal of Forestry Research, 2002, 13(1): 61-66 DOI:10.1007/BF02857148

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Junqing Cheng Wood Science [M], 1985 Beijing: China Forestry Press 496-497.

[2]

ESRI. ARC/INFO User’s Guide Version 7.1. Environmental Systems Research Institute Inc., Redlands.

[3]

Institute of Science and Technology Information of Chinese Forest Academe. 1981. Forest fire forecast (the fifth of forest fire prevention special collection) [M]. Chinese Forest Academe Press.

[4]

Jingwen Li et al. Forest in Heilongjiang [M], 1993 Beijing: China Forestry Press

[5]

Rencan Peng Synthetical analysis in making ways of electronic maps [J]. Introduction of Electronic Science and Technology, 1998, 3: 12-14.

[6]

Baomin Wang, Nanping Xu, Jing Yuan et al. Climate division of forest fire danger in Heilongjiang [J]. Forest Fire Prevention, 1994, 4: 12-12.

[7]

Wood industry institute of Chinese forest academe Wood physical mechanics characters of main trees of China [M], 1982 Beijing: China Forestry Press

[8]

Meihe Yang, Yingyi Gao, Mingsheng E Making and application of potential fire danger rating map in forest class [J]. Forestry Science, 1992, 28(6): 532-535.

AI Summary AI Mindmap
PDF

120

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/