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林业科学 ›› 2025, Vol. 61 ›› Issue (3): 50-62.doi: 10.11707/j.1001-7488.LYKX20240428

• 研究论文 • 上一篇    下一篇

全国重点林区闪电时空变化特征

司莉青1,2,李威1,2,王明玉1,2,*(),舒立福1,2,苑尚博3,李伟克1,2,张慧4,史一凡4,周暖阳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. 中国科学院电工研究所 北京 100190
    4. 北京市应急管理科学技术研究院 北京 100070
  • 收稿日期:2024-07-10 出版日期:2025-03-25 发布日期:2025-03-27
  • 通讯作者: 王明玉 E-mail:oldchoff@163.com
  • 基金资助:
    国家重点研发计划项目(2023YFD2202005, 2023YFD2202003)和国家林业和草原局森林雷击火防控-揭榜挂帅项目(2023132032)。

Characteristics of Temporal and Spatial Variations of Lightning in China’s Key Forest Areas

Liqing Si1,2,Wei Li1,2,Mingyu Wang1,2,*(),Lifu Shu1,2,Shangbo Yuan3,Weike Li1,2,Hui Zhang4,Yifan Shi4,Nuanyang Zhou1,2   

  1. 1. Ecology and Nature Conservation Institute, CAF Beijing 100091
    2. National Forestry and Grassland Fire Monitoring Early Warning and Prevention Engineering Technology Research Center Beijing 100091
    3. Institute of Electrical Engineering of the Chinese Academy of Sciences Beijing 100190
    4. Beijing Academy of Emergency Management Science and Technology Beijing 100070
  • Received:2024-07-10 Online:2025-03-25 Published:2025-03-27
  • Contact: Mingyu Wang E-mail:oldchoff@163.com

摘要:

目的: 明确全国范围内重点林区的闪电时空变化特征,以提高雷击火预测的准确性。方法: 基于全国2023年甚低频/低频(very low frequency / low frequency,VLF/LF)三维闪电监测数据,分析全国7个重点林区(四川凉山林区、黑龙江大兴安岭林区、内蒙古大兴安岭林区、河北塞罕坝林区、新疆阿尔泰林区、北京市、福建武夷山国家公园)的闪电(云闪、云地闪、负闪、正闪)数量、电流、云闪高度以及时空分布规律。结果: 1)四川凉山林区闪电次数最多,其次为黑龙江大兴安岭林区和内蒙古大兴安岭林区,河北塞罕坝林区最少。各地区的负闪占比均远高于正闪。四川凉山林区的总闪密度和云地闪密度最多,分别达到9.12和5.03次?km?2a?1;新疆阿尔泰林区的总闪密度和与云地闪密度最少,分别只有0.16和0.11次?km?2a?1。2)北京市、黑龙江大兴安岭林区和内蒙古大兴安岭林区正闪的电流分布范围更集中,绝大多数集中在0~40 kA,累计占总闪次数的比例分别为93.91%、91.50%和87.83%,而其他4个地区则分布范围较广,尤其是新疆阿尔泰林区。3)黑龙江大兴安岭林区和内蒙古大兴安岭林区、北京市、四川凉山林区的云闪高度集中在16 000 m以下,新疆阿尔泰林区、河北塞罕坝林区和福建武夷山国家公园的云闪高度集中在22 000 m以下,在1 250 m高度处云闪的比例在各林区均最高。4)不同地区的闪电数量最大值出现在不同的月份,黑龙江大兴安岭林区、内蒙古大兴安岭林区、北京市和福建武夷山国家公园出现在7月,新疆阿尔泰林区和河北塞罕坝林区出现在8月,而四川凉山林区出现在9月。黑龙江大兴安岭林区和内蒙古大兴安岭林区一天内闪电高发时段更久,12:00—19:00时段的闪电数量均处于高位。四川凉山林区闪电数量日变化表现为在15:00—24:00时段闪电数量处于高位,闪电在夜间发生较多;除四川凉山林区外,其他林区闪电数量日变化分布均呈单峰型特点,且闪电发生在白天。5)黑龙江大兴安岭林区的闪电主要分布在西北部、中部和南部;内蒙古大兴安岭林区的闪电主要分布在北部的金河与汗马交界、甘河北附近;北京市的闪电集中分布在怀柔区、密云区、平谷区和门头沟区;河北塞罕坝林区的闪电集中于三道河口与千层板区域;四川凉山林区的闪电主要分布在岳西县、冕宁县和喜德县3个地区;新疆阿尔泰林区的闪电主要集中于哈巴河西与布尔津西北、阿勒泰;福建武夷山国家公园的闪电则集中于东南部与中南部的一般控制区以及西南部的核心保护区。结论: 我国闪电的发生具有明显的时空异质性,基于闪电对雷击火发生的影响,应多关注各地7—9月山区的闪电活动,在雷击火的监测和预警过程中尤其要关注四川地区夜间的雷击火事件。

关键词: 三维闪电定位系统, 闪电特征, 闪电活动, 雷击火, 时空异质性, 重点林区, 夜间火

Abstract:

Objective: The aim of this study was to clarify the spatiotemporal variation characteristics of lightning in key forest areas across the country, in order to enhance the accuracy of predicting lightning-caused fires. Method: Based on the three-dimensional very low frequency/low frequency (VLF/LF) lightning monitoring data in 2023, this study analyzes the quantity, peak current intensity, cloud flash height and spatiotemporal distribution of lightning (intra-cloud lightning; cloud to ground lightning; positive lightning; negative lightning) in seven key forest areas in China, including the Liangshan forest area of Sichuan Province, Daxing?anling forest area in Heilongjiang, Daxing?anling forest area in Inner Mongolia, Saihanba forest area of Hebei Province, Altai forest area of Xinjiang, Beijing, and Fujian Wuyishan National Park. Result: 1) The Liangshan forest area of Sichuan Province experienced the highest frequency of lightning strikes, followed by the Daxing?anling forest area in Heilongjiang and Daxing?anling forest area in Inner Mongolia, with the Saihanba forest area of Hebei Province recording the lowest. The proportion of negative lightning was significantly higher than that of positive lightning in all regions. The total lightning density and cloud to ground lightning density in the liangshan forest area of Sichuan Province were the highest, reaching 9.12 and 5.03 times?km?2a?1, respectively, whereas the Altai forest area of Xinjiang had the lowest total lightning density and cloud to ground lightning density, with only 0.16 and 0.11 times?km?2a?1, respectively. 2) In Beijing, the Daxing?anling forest area in Heilongjiang, and the Daxing?anling forest area in Inner Mongolia, the distribution of current intensity for positive lightning was more concentrated, with the vast majority ranging from 0 and 40 kA, accounting for 93.91%, 91.50%, and 87.83% of the total lightning occurrences, respectively. In contrast, the other four regions were more widely distributed, particularly in Altai forest area of Xinjiang. 3) The intra-cloud lightning heights in the Daxing?anling forest area in Heilongjiang, the Daxing?anling forest area in Inner Mongolia, Beijing and the liangshan forest area of Sichuan Province were predominantly below 16 000 m. In contrast, the intra-cloud lightning heights in the Altai forest area of Xinjiang, the Saihanba forest area of Hebei Province and the Fujian Wuyishan National Park were predominantly below 22 000 m. The proportion of intra-cloud lightning at a height of 1 250 m was the highest across all forest regions. 4) The maximum number of lightning in different regions occured in various months. The Daxing?anling forest area in Heilongjiang, the Daxing?anling forest area in Inner Mongolia, Beijing and the Fujian Wuyishan National Park mainly occurred in July, the Altai forest area of Xinjiang and the Saihanba forest area of Hebei Province in August, and the Liangshan forest area of Sichuan Province peaked in September. The Daxing?anling forest area in Heilongjiang and the Daxing?anling forest area in Inner Mongolia experienced a longer period of high lightning activity within a day, with high numbers of lightning events from 12:00 and 19:00. In contrast, the Liangshan Forest Area in Sichuan showed a high concentration of lightning events from 15:00 to 24:00, indicating a greater frequency of nocturnal occurrences. Except for the Liangshan Forest Area in Sichuan, the daily distribution of lightning events in other forest regions exhibited a unimodal pattern, predominantly occurring during the daytime. 5) The lightning in the Daxing?anling forest area in Heilongjiang was mainly distributed in the northwest, central and southern parts. The lightning in the Daxing?anling forest area in Inner Mongolia was mainly concentrated in the north central areas between the Jinhe and the Khanma, as well as near the Ganhe. In Beijing, the lightning was concentrated in the Huairou District, Miyun District, Pinggu District, and Mentougou districts. In the Saihanba forest area of Hebei Province, lightning was concentrated in the area of Sandaohekou and Qaincengban. In the Liangshan forest area of Sichuan Province, lightning was mainly distributed in Yuexi County, Mianning County, and Xide County. In the Altay forest area of Xinjiang, lightning was mainly concentrated in the west of Habahe, the northwest of Burqin, and the Altay. In the Fujian Wuyishan National Park, lightning was concentrated in the southeastern and central south general control areas, as well as the southwestern core protected areas. Conclusion: Lightning occurrence in China exhibited significant spatiotemporal heterogeneity. Based on the impact of lightning on the occurrence of lightning-caused fires, more attention should be paid to lightning activities in mountainous areas from July to September. Particularly in the monitoring and early warning process of lightning-caused fire, emphasis should be placed on nocturnal lightning-caused fire events in the Sichuan area.

Key words: 3D lightning location system, lightning characteristics, lightning activity, lightning fire, spatiotemporal heterogeneity, key forest areas, night fire

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