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林业科学 ›› 2026, Vol. 62 ›› Issue (7): 152-164.doi: 10.11707/j.1001-7488.LYKX20250706

• 研究论文 • 上一篇    

四川省林草火灾与气象因素时空分布特征的关系

王京鲁1,2,贾娟3,王明玉1,2,*(),舒立福1,2,赵凤君1,2,司莉青1,2,李伟克1,2,闫凯达1,2,黄婧绣1,2,李凯4   

  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. 四川省森林和草原防火监测中心 成都 610081
    4. 北京城市副中心投资建设集团有限公司投资发展部 北京 101117
  • 收稿日期:2025-11-24 修回日期:2026-01-22 出版日期:2026-07-10 发布日期:2026-07-14
  • 通讯作者: 王明玉 E-mail:oldchoff@163.com
  • 基金资助:
    四川省科技计划资助“穿越林区的35千伏及以下配电线路森林火灾风险精准识别研究”;“十四五”国家重点研发计划项目(2023YFD2202005,2023YFD2202001)。

Relationship between Spatiotemporal Distribution Characteristics of Forest and Grassland Fires and Meteorological Factors in Sichuan Province

Jinglu Wang1,2,Juan Jia3,Mingyu Wang1,2,*(),Lifu Shu1,2,Fengjun Zhao1,2,Liqing Si1,2,Weike Li1,2,Kaida Yan1,2,Jingxiu Huang1,2,Kai Li4   

  1. 1. Ecology and Nature Conservation Institute, Chinese Academy of Forestry Beijing 100091
    2. National Fire Monitoring, Early Warning and Prevention Engineering Technology Research Center of Forestry and Grassland Beijing 100091
    3. Sichuan Provincial Forest and Grassland Fire Prevention Monitoring Center Chengdu 610081
    4. Investment Development Department, Beijing Sub-Center Investment and Development Group Company Limited Beijing 101117
  • Received:2025-11-24 Revised:2026-01-22 Online:2026-07-10 Published:2026-07-14
  • Contact: Mingyu Wang E-mail:oldchoff@163.com

摘要:

目的: 揭示四川省林草火灾与气象因素时空分布特征的关系,明确驱动火灾分布的关键气象因素组合及焚风多发时期的定义,并解析其背后的大气环流机制,为制定科学的防火策略提供理论参考依据。方法: 基于2005—2024年MODIS火点数据与ERA5气象数据,结合土地利用、地形数据,采用 ArcGIS 10.8.2、Origin 2024、Excel 2021、SPSS 27等工具,首先依据土地利用数据区分林草地与非林草地并提取林草火点,再分别从月尺度、空间尺度对火灾数量的分布特征进行统计分析,随后分析风向、平均风速、平均降水、平均相对湿度、平均温度及邻月平均温度差的月尺度空间分布特征,最后综合探究气象因素与火灾发生间的关联,通过分析火灾数量与气象因素的相关性验证其准确性。将通用判定条件及时间尺度粗糙化,判定四川省在月尺度上的焚风,明确四川省焚风多发季节。结果: 1) 四川省约86.9%的林草火灾集中于1—5月及12月(春冬季),空间主要分布在川西南(攀枝花市、凉山彝族自治州)、川西北(甘孜藏族自治州、阿坝藏族羌族自治州),约占全省的97.66%,且川西南多于川西北。2) 在任意组合四川省地区及时间进行气象对比的情况下,只有川西南、川西北的冬春季具有平均风速大、平均降水量少、平均相对湿度低、平均温度上升幅度大,且受西南风、南风控制的气象要素时空分布组合。3) 火灾数量与平均风速、月西南风数量、月南风数量呈正相关(ρ=0.923**P<0.001;ρ=0.930**P<0.001;ρ=0.804**P=0.002),与平均温度、平均降水量、平均相对湿度呈负相关(ρ=–0.643*P=0.024;ρ=–0.809**P=0.001;ρ=–0.979**P<0.001)。4) 川西南、川西北的冬春季满足形成“焚风季节”的判定条件。结论: 揭示四川省林草火灾时间集中于冬春季、空间聚焦于川西南与川西北且川西南火灾频次高于川西北的时空分布规律,定义川西南、川西北的冬春季为“焚风季节”,确定冬春季川西南、川西北西南风和南风主导、高风速、少降水、低湿度、显著升温的气象组合及焚风频发是火灾集中发生的关键。

关键词: 林草火灾, 气象因素, 时空分布, 大气环流, 焚风效应, 四川省

Abstract:

Objective: This study aims to reveal the spatiotemporal distribution relationships between forest and grassland fires and meteorological factors in Sichuan Province. It identifies the key meteorological factor combinations driving fire distribution, defines Foehn-prone periods, and analyzes the underlying atmospheric circulation mechanisms, providing a theoretical reference for developing scientific fire prevention strategies. Method: Based on MODIS active fire data and ERA5 meteorological data from 2005 to 2024, combined with land use and topographical data, the tools such as ArcGIS 10.8.2, Origin 2024, Excel 2021, and SPSS 27 were employed. First, the forest and grassland were distinguished from non-forest and non-grassland areas via land use data and fire points were extracted. Then, statistical analyses are conducted to characterize the distribution of fire occurrence counts at the monthly and spatial scales, respectively. Subsequently, the monthly spatial distributions of wind direction, average wind speed, average precipitation, average relative humidity, average temperature, and temperature differences between adjacent months were analyzed. Finally, the correlation between meteorological factors and fires was comprehensively explored, and thereby its accuracy was verified. The Foehn-prone seasons in Sichuan Province were clarified by generalizing judgment criteria and coarsening the time scale, and determining monthly-scale Foehn in Sichuan Province. Result: 1) Approximately 86.9% of forest and grassland fires in Sichuan Province occurred from January to May and in December (winter and spring). Spatially, about 97.66% of the Province’s total fires were concentrated in southwest Sichuan (Panzhihua City, Liangshan Yi Autonomous Prefecture) and northwest Sichuan (Ganzi Tibetan Autonomous Prefecture, Aba Tibetan and Qiang Autonomous Prefecture), with a higher frequency in southwest Sichuan than in northwest Sichuan. 2) Comparative analysis showed that across different regional and temporal combinations in Sichuan Province, only the winter and spring seasons in southwest and northwest Sichuan exhibit a distinct meteorological pattern characterized by high average wind speed, low precipitation, low relative humidity, significant temperature rise, and the dominance of southwesterly and southerly winds. 3) The number of fires was positively correlated with average wind speed, the monthly count of southwesterly winds, and the monthly count of southerly winds (ρ=0.923**, P<0.001; ρ=0.930**, P<0.001; ρ=0.804**, P=0.002). Conversely, it was negatively correlated with average temperature, average precipitation, and average relative humidity (ρ=?0.643*, P=0.024; ρ=?0.809**, P=0.001; ρ=?0.979**, P<0.001). 4) The winter and spring seasons in southwest and northwest Sichuan satisfy the criteria for “Foehn seasons”. Conclusion: This study reveals the spatiotemporal pattern of forest and grassland fires in Sichuan. They are temporally concentrated in winter and spring and spatially focused in the southwest and northwest regions (with higher frequency in the southwest). The winter and spring periods of southwestern and northwestern Sichuan have be defined as “Foehn seasons”. The study concludes that the specific meteorological combination—dominated by southwesterly and southerly winds, high wind speed, low precipitation, low humidity, and significant warming, coupled with frequent Foehn events, constitutes the key driver for the concentration of fires.

Key words: forest and grassland fires, meteorological factors, spatiotemporal distribution, atmospheric circulation, Foehn effect, Sichuan Province

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