Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area
Volume 5, Issue 6, November 2017, Pages: 450-456
Received: Nov. 16, 2017;
Published: Nov. 21, 2017
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Li Jing, College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
Yu Qian, College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
Cui Tiejun, College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
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Analyze the risk of forest fire and its influencing factors is of great significance, which can provide scientific basis for forecasting and controlling forest fires, so as to reduce economic losses and casualties. Based on vegetation index data and meteorological data from May 13 to 22, 2017, the forest risk rating was calculated using the evaluation criteria of forest fire hazard in Daxing'anling Area, and then the influencing factors of fire were analyzed. The results show that the reason for the spring fire in Daxing'anling Area is that the spring temperature is gradually increasing, but the precipitation does not increase synchronously, and thus resulting in low air humidity and dryness. Moreover, in spring and summer alternating date, there are usually strong atmospheric activity and high wind speed, which lead the forest fire risk increasing. In this weather conditions, the forest area can easily lead to fire, and the spread of the fire is also difficult to control. However, vegetation coverage increase could reduce the risk of fire. According to this algorithm, it is possible to predict the fire risk level in the forest area so as to determine the high probability of fire occurrence area, which could provides a reference for planning fire prevention measures and reasonable flight routes of UAVs for forest administrator.
Daxing'anling, Vegetation Coverage, Meteorological Factor, Forest Fire Risk Forecast
To cite this article
Prediction and Influence Factors Analysis of Forest Fire Risk Degree——A Case Study of Daxing'anling Area, Science Discovery.
Vol. 5, No. 6,
2017, pp. 450-456.
Qu Y(屈宇), Li B-H(李保会). 2001. Present situation of re-search on forest fire danger grade classification. Hebei J For Or-chard Res(河北林果研究), 16(4):392～396(in Chinese).
Amparo AB, Oscar FR. 2003. An intelligent system for forest firerisk prediction and fire fighting management in Galicia. Exp Syst Appl, 25(6):545～554.
Fu Z-Q(傅泽强), Dai E-F(戴尔阜). 2001. Seasonal dynamic char-acteristics and climate condition analysis of forestry fire risk in Da-xing'an Mountains. J Nat Dis(自然灾害学报), 10(4):113～116(in Chinese).
Gao C-H(高昌海), Yan Y-T(颜元庭), Gu X-F(顾香凤), et al. 1994. Forest fire risk zone mapping of Shibazhan Bureau. For Sci Technol(林业科技), 19(2):33～34(in Chinese).
Grishin AM, Filkov AI. 2003. A model of prediction of forest-fire hazard. J Eng Phys Thermoph, 76(5):321～325.
Guo P(郭平), Sun G(孙刚), Zhou D-W(周道玮), et al. 2001. Study on fire behavior in grassland. Chin J Appl Ecol(应用生态学报), 12(5):746～748(in Chinese).
Huang H-K(黄厚康), Lin J-S(林继生), Xiong Y-H(熊燕辉). 1995. An evaluation model for forest-fire risk in Guangdong Province. J Trop Meteorol(热带气象学报), 11(1):66～72(in Chinese).
Jiang S-L(蒋少林), Yang J-Y(杨剑英), Fan J-S(范金绶), et al. 1995. A study of forest fire danger rating in Leshan city. Sichuan For Sci Technol(四川林业科技), 16(3):12～17(in Chinese).
Li F-Q(李富强), Li Y-Y(李莹莹), Wang Y-L(王艳玲), et al. 1997. Study on forest-fire risk zone in Jilin Province. Jilin For Sci Technol(吉林林业科技), (5):20～25(in Chinese).
Liu H-B(刘海波), Yuan J(袁靖), Yang R-K(杨汝康). 1995. Astudy on the climatic indices and zonal division of the forest-fire danger in Heilongjiang Province. J Northeast Agric Univ(东北农业大学学报), 26(1):145～150(in Chinese).
ZHANG D B. Forest fire suppression commander' s handbook [G]. Yakeshi: The Forest Fire Prevention Headquarters of Daxing' anling Forestry Administration Bureau, 2000.