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大兴安岭林区火灾特征及影响因子分析
引用本文:于文颖,周广胜,赵先丽,谢艳兵,贾庆宇.大兴安岭林区火灾特征及影响因子分析[J].气象与环境学报,2009,25(4):1-5.
作者姓名:于文颖  周广胜  赵先丽  谢艳兵  贾庆宇
作者单位:(1.中国气象局沈阳大气环境研究所, 沈阳 110016;2.中国气象科学研究院,北京 100081;3.中国科学院植物研究所植被与环境变化国家重点实验室,北京 100093)
摘    要:对1970—2006年大兴安岭地区森林火灾过火次数与过火面积及其影响因子分析。结果表明:春季是大兴安岭地区火灾易发季节,4—6月易引发较大等级的森林火灾;雷击是引起该地区森林火灾的主要原因,雷击火灾多集中在春季和夏季, 6月份为雷击火多发月;年尺度上,降水量与过火次数显著相关,气温与过火面积显著相关;月尺度上,气温与过火次数显著相关,风速、相对湿度与过火面积显著相关;日尺度上,过火次数与最高气温显著相关,过火面积与相对湿度显著相关;但复相关系数较小,表明对森林火灾的预测不能仅仅选取气象因子,更要考虑火源及可燃物的影响。

关 键 词:森林火灾  雷击火  影响因子  大兴安岭林区  
收稿时间:2008-12-31
修稿时间:2009-4-10

Characteristics of forest fire and its controls in Daxing’anling Mountains, Heilongjiang province
YU Wen-ying,ZHOU Guang-sheng,ZHAO Xian-li,XIE Yan-bin,JIA Qing-yu.Characteristics of forest fire and its controls in Daxing’anling Mountains, Heilongjiang province[J].Journal of Meteorology and Environment,2009,25(4):1-5.
Authors:YU Wen-ying  ZHOU Guang-sheng  ZHAO Xian-li  XIE Yan-bin  JIA Qing-yu
Institution:(1.Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China; 2. Chinese Academy of Meteorological Sciences, Beijing 100081, China; 3. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093)
Abstract:Based on the forest fire data from 1970 to 2006 in Daxing’anling Mountains, Heilongjiang province, fire times, fire areas and their controlling factors are analyzed. The results show that forest fire often appears in spring in Daxing’anling Mountains. The bigger forest fire usually occurs from April to June. Lightning strike is the main factor resulting in forest fire in the region, and lightning strike fire often happens in spring and summer, especially in June. Precipitation is related to fire times on annual scale. The relationship between air temperature and fire times is significant on monthly scale, and so is between wind speed, relative humidity and fire areas. Fire times are related to the maximum air temperature, and fire areas are related to relative humidity on daily scale. Multiple correlation coefficients are all small, so forest fire forecast has to consider the fire sources and forest fuels besides meteorological factors.
Keywords:
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