主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2023, Vol. 42 ›› Issue (5): 709-713.

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Study on the combustibility of litter in seven forest lands of Changbai Mountain based on thermogravimetric analysis

Chen Yicheng1, Xin Ying1, Zhang Dexin2   

  1. (1.College of Engineering and Technology, Northeast Forestry University, Heilongjiang Harbin 150040, China; 2. Changbai Mountain Forest Industry Group, Jilin Yanbian 133000, China)
  • Online:2023-05-15 Published:2023-05-15

Abstract: The combustibility of litters of seven forest lands in Changbai Mountain was studied. According to the physicochemical indexes obtained by thermogravimetric analysis, the combustibility was sequenced and analyzed. It provides reference for forest fire prevention and control in Changbai Mountain. Seven species of undergrowth litters are treated into samples with the grain size of 40 meshes, and in an SDT-Q600 thermogravimetric analyzer, the temperature rise rate of 10,20,30 ℃/min are respectively carried out under two atmospheres of high-purity air and nitrogen, The activation energy of seven forest litters was calculated by DAEM method after heating to 800 ℃ from room temperature. The physicochemical indexes obtained from the experiment were ordered by entropy weight method. DTG curves of seven forest litters in air are divided into four stages: The order of the mean values of activation energy of seven forest litters in the water loss stage, the main mass loss stage, the secondary mass loss stage and the inorganic decomposition stage is as follows: populusl forest> quercus mongolica forest > pinus syluestriformis forest> mixed coniferous broad leaved forest > betula platyphylla forest> mixed broad-leaved forest > larix gmelinii forest. The combustibility are as follows: pinus syluestriformis forest > larix gmelinii forest> mixed coniferous broad leaved forest > populusl forest > quercus mongolica forest > betula platyphylla forest > mixed broad-leaved forest. In the high incidence period of forest fire, the fire risk supervision of pinus syluestriformis forest and larix gmelinii forest should be strengthened.

Key words: understory litter, thermogravimetric analysis, the entropy weight method, apparent activation energy