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林业科学 ›› 2025, Vol. 61 ›› Issue (4): 169-179.doi: 10.11707/j.1001-7488.LYKX20240152

• 研究论文 • 上一篇    

2000—2022年阿尔泰山林区雷击火时空分布特征

李威1,2, 王明玉1,2, 舒立福1,2, 王文栋3, 李伟克1,2, 司莉青1,2, 赵凤君1,2   

  1. 1. 中国林业科学研究院森林生态环境与自然保护研究所 北京100091;
    2. 国家林业草原火灾监测预警与防控工程技术研究中心 北京100091;
    3. 新疆林业科学院森林生态研究所 乌鲁木齐 830000
  • 收稿日期:2024-03-18 修回日期:2024-12-10 发布日期:2025-04-21
  • 通讯作者: 王明玉为通信作者。E-mail:oldchoff@163.com。
  • 基金资助:
    国家重点研发计划资助(2023YFD2202001, 2023YFD2202005);国家林业和草原局森林雷击火防控——揭榜挂帅项目(2023132032);新疆阿尔泰山雷击森林火灾预警监测系统平台构建(新〔2023〕TG05 号)。

Spatiotemporal Distribution Characteristics of Lightning-Caused Fires in the Altai Mountains Forest Region from 2000 to 2022

Li Wei1,2, Wang Mingyu1,2, Shu Lifu1,2, Wang Wendong3, Li Weike1,2, Si Liqing1,2, Zhao Fengjun1,2   

  1. 1. Ecology and Nature Conservation Institute, Chinese Academy of Forestry Beijing 100091;
    2. National Forestry and Grassland Fire Monitoring Early Warning and Prevention Engineering Technology Research Center Beijing 100091;
    3. Forest Ecology Research Institute, Xinjiang Academy of Forestry Urumqi 830000
  • Received:2024-03-18 Revised:2024-12-10 Published:2025-04-21

摘要: 目的 分析阿尔泰山林区2000—2022年雷击火时空分布动态,探究雷击火活动规律,为当地雷击火预测与防控提供参考。方法 基于2000—2022年新疆阿尔泰山林区雷击火历史资料,分析雷击火时间分布特征与动态,结合研究区数字高程模型,利用ArcGIS软件提取对应雷击火点的空间信息并分析其空间分布特征与动态。结果 2000—2022年新疆阿尔泰山林区雷击火年际动态以2012年为节点,2012年后雷击火活跃年份较2012年前增多,非活跃年份减少;活跃年份的雷击火数量和雷击火活跃时间更多,非活跃年份的雷击火数量和雷击火活跃时间更少;阿尔泰山林区雷击火最早发生在4月,最晚发生在9月,集中在6—8月(95%),7月雷击火数量和过火面积最多,8月扑救费用和出动人员数量最多;哈巴河的雷击火数量和出动人员数量最多,阿勒泰的过火面积最大,布尔津的扑救费用最多;雷击火数量在海拔上的分布接近正态,以1 800~2 000 m最多,1 400~1 600 m的扑救费用和出动人员数量最多;坡地的雷击火数量更多、扑救难度更大,造成的过火面积也更大,超过50%的雷击火分布于0°~20°坡度范围,扑救费用在70°~0°坡度范围最多;东坡的雷击火数量和出动人员数量最多,东南坡的过火面积和扑救费用最多。结论 2012年后雷击火明显更加活跃,具体表现为较2012年前雷击火活跃年份增多,平均雷击火活跃期延长,而雷击火非活跃年份虽然在2012年后有所减少,但其平均雷击火活跃期明显缩短,总体上雷击火活跃程度的年际间波动性更强。阿尔泰山林区雷击火在特定的经纬度、海拔、坡度、坡向上表现出聚集性,且在2012年后明显更多地分布于48.4°—48.7°N、 86.5°— 87°E 范围内,总体表现出从较低海拔向较高海拔、从较高坡度向较低坡度迁移的趋势,并更倾向集中于东坡。

关键词: 阿尔泰山林区, 雷击火, 时空分布, 动态特征

Abstract: Objective This study analyzed the spatiotemporal distribution dynamics of lightning-caused fires in the Altai Mountain forest region from 2000 to 2022. By exploring the activity patterns of lightning-caused fires, this research aims to facilitate local lightning-caused fire prediction and prevention. It is of great significance for the protection of state-owned forest assets and the maintenance of forest security.Method Based on the historical data of lightning-caused fires in Altai Mountains forest region in Xinjiang from 2000 to 2022, the temporal distribution characteristics and dynamics of lightning-caused fires were analyzed. By combining the digital elevation model (DEM) of the study area, the spatial information of corresponding lightning-caused fires was extracted by ArcGIS software, and its spatial characteristics and dynamics were analyzed.Result The inter-annual dynamics of lightning-caused fires in the Altai Mountains forest region of Xinjiang from 2000 to 2022 show an increase in active fire years and a decrease in inactive fire years after 2012 compared to before 2012. Active years are characterized by a higher number of lightning-caused fires and more active fire days, while inactive years have fewer fires and active days. The earliest occurrence of lightning-caused fires is in April, and the latest in September, with the majority (95%) concentrated in June to August. July experiences the highest number of fires and the largest burned area, while August has the highest firefighting costs and the greatest number of personnel mobilized. The Habahe area has the highest number of lightning-caused fires and the most personnel mobilized, Altay has the largest burned area, and Burqin has the highest firefighting costs. The distribution of fire numbers with respect to altitude is approximately normal, peaking between 1 800-2 000 m, with the 1 400-1 600 m range having the highest firefighting costs and the most personnel mobilized. Slope terrains have a higher number of lightning-caused fires, greater firefighting difficulty, and larger burned areas, with over 50% of fires occurring on slopes between 0°-20°. The steepest slopes, between 70°-80°, incur the highest firefighting costs. The eastern slopes have the highest number of fires and personnel mobilized, while the southeastern slopes have the largest burned area and the most firefighting costs.Conclusion After 2012, lightning-caused fires became significantly more active. This is evidenced by an increase in the number of active years and an extension of the average active period of lightning-caused fires compared to the period before 2012, although the number of inactive years of lightning-caused fires decreased after 2012, the average active period of lightning-caused fires in these inactive years was significantly shortened. Overall, the inter-annual fluctuations in the activity level of lightning-caused fires became stronger. Lightning-caused fires in specific longitudes, latitudes, altitudes, slopes, and aspects exhibit a clustered distribution. Post-2012, a notably higher occurrence of lightning-caused fires is observed within the range of 48.4°N to 48.7°N and 86.5°E to 87°E. Overall, there is a trend of migration from lower to higher altitudes and from steeper to milder slopes, with a preference for concentration on the eastern slopes.

Key words: Altai Mountains forest region, lightning-caused fires, spatiotemporal distribution, dynamic characteristics

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