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林业科学 ›› 2022, Vol. 58 ›› Issue (11): 10-20.doi: 10.11707/j.1001-7488.20221102

• 前沿与重点:雷电监测和森林雷击火动态 • 上一篇    下一篇

密集雷电引发大兴安岭群发雷击火过程及其影响因素

王明玉1,2,苑尚博3,李威1,2,李伟克1,2,宋佳军3,司莉青1,2,王亚惠3,赵凤君1,2,田晓瑞1,2,李笑笑1,2,舒立福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. 国家林业和草原局森林生态环境重点实验室 北京 100091
    3. 中国科学院电工研究所 北京 100190
  • 收稿日期:2022-07-10 出版日期:2022-11-25 发布日期:2023-03-08
  • 通讯作者: 舒立福

Process and Influencing Factors of Mass Lightning Fires Caused by Dense Lightning in Daxing'anling Mountains

Mingyu Wang1,2,Shangbo Yuan3,Wei Li1,2,Weike Li1,2,Jiajun Song3,Liqing Si1,2,Yahui Wang3,Fengjun Zhao1,2,Xiaorui Tian1,2,Xiaoxiao Li1,2,Lifu Shu1,2,*   

  1. 1. Ecology and Nature Conservation Institute, Chinese Academy of Forestry Beijing 100091
    2. Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration Beijing 100091
    3. Institute of Electrical Engineering of the Chinese Academy of Sciences Beijing 100190
  • Received:2022-07-10 Online:2022-11-25 Published:2023-03-08
  • Contact: Lifu Shu

摘要:

目的: 分析引发雷击火各因素的数量化特征,明确密集型雷电过程中各影响因素对雷击火发生影响的机制。方法: 基于雷击火感知体系,对监测到的雷电指标、气象因子和雷击火发生指标进行系统分析,分析2022年春防期大兴安岭雷击火发生的基本情况和密集型雷电过程对雷击火发生的影响,引发雷击火的闪电的数量化特征,以及雷电定位精度和雷击火潜伏期。结果: 2022年大兴安岭春防期共发生了22起雷击火,其中18起为密集型雷电过程引发。地闪和云闪在正负电流区间各有1个峰值,地闪的高频峰值在负电流区,云闪的高频峰值在正电流区。负地闪占地闪总数的82.82%,地闪在-8~-50kA形成高频次区间,引发雷击火的数量最多,占负地闪数量的84.5%,占地闪总数的70%。在10~30kA形成正地闪高频区间,占正地闪数量的74.2%,占地闪总数的12.7%,数量远低于负地闪区间。春防期引发雷击火的电流强度平均值为-22.72kA,最强电流为-48.34 kA,最弱电流为-8.70 kA。引发雷击火的闪电发生时间相对集中,雷击火多由中午前后的地闪引燃。引发雷击火的密集型闪电发生前有快速升温,伴随空气湿度下降、风速增大的过程,日最高气温和引发雷击火的闪电发生时间基本一致,也是相对湿度最低、风速最高的时间段。春防期雷击火潜伏期从0.56 h至17.62 h。雷电探测定位精度为165~884 m,平均精度为394.5 m。有两起雷击火有雷击木定位坐标,定位精度达到165 m和170 m。结论: 密集型雷电过程引发群发雷击火占雷击火数量的多数,群发雷击火的发生由密集雷电过程耦合极端天气条件,在干旱和可燃物易燃的的条件下发生。雷电过程和降水过程不同步或降水偏少,前期有快速升温过程,密集型雷电过程伴随着气温下降,雷击火多发生在此天气转折期间。在雷击火的监测和预警过程中尤其要关注干旱条件下的密集雷电过程。

关键词: 雷击火, 雷电, 全波形三维闪电定位系统, 电流强度, 气象

Abstract:

Objective: The occurrence of lightning fire is comprehensively affected by lightning, meteorological conditions, forest fuel, terrain, etc. Various factors are coupled and act together. After the launch of "forest lightning fire prevention and control emergency technology project", a full waveform three-dimensional lightning detection network covering the Daxing'anling Mountains has been built. Combined with the national basic meteorological station, lightning fire meteorological monitoring station, watchtower and ground patrol, the network can be used to carry out collaborative monitoring and early warning of lightning, weather and lightning fire occurrence. The number of mass lightning fires caused by dense lightning processes accounted for most of lightning fires in the spring fire season of 2022. Based on the data of the lightning fire sensing system, this paper aims to analyze the quantitative characteristics of various factors causing lightning fires, and clarify the mechanism of the influence of various factors in the dense lightning process on the occurrence of lightning fires. Method: Based on the lightning fire sensing system, the monitored lightning indicators, meteorological factors and lightning fire occurrence indicators were systematically analyzed. This study also analyzed the basic situation of lightning fire occurrence in Daxing'anling Mountains during the spring fire season in 2022, the impact of dense lightning on lightning fire occurrence, the quantitative characteristics of lightning that caused lightning fire, as well as the lightning location accuracy and lightning fire smoldering period. Result: In 2022, a total of 22 lightning fires occurred during the spring fire season in Daxing'anling Mountains, of which 18 were caused by dense lightning processes. The ground lightning and cloud lightning had one peak respectively in the positive and negative current area. The negative ground lightning accounted for 82.82% of the total number of ground lightning, and the ground lightning formed a high-frequency interval at -8~-50 kA. The number of lightning fires caused by negative ground lightning was the largest, which accounted for 70% of the total number of ground lightning, and accounted for 84.5% of the negative ground lightning. The positive ground lightning that formed a high-frequency range at 10~30 kA accounted for 12.7% of the total ground lightning, and 74.2% of the positive ground lightning, which was much lower than the number of negative ground flashes. The average current intensity of lightning fire in spring fire season was -22.72 kA, the strongest current was -48.34 kA, and the weakest current was -8.70 kA. The occurrence time of lightning that causes lightning fires was relatively concentrated, and lightning fires were mostly ignited around noon. There was a rapid temperature rise before the dense lightning that caused the lightning fire occurred. With the decline of air humidity and the increase of wind speed, the daily maximum temperature was basically the same as the occurrence time of the lightning that caused the lightning fire. It was also the period of time when the lowest relative humidity and the highest wind speed appeared. The smoldering period of lightning fire in spring fire season was from 0.56 to 17.62 h. The accuracy of lightning detection and location was 165~884 m, with an average accuracy of 394.5 m. There were two lightning fires with lightning wood positioning coordinates, and the positioning accuracy reached 165 m and 170 m. The fuels in the fire site were mainly waste mountain grassland, dry wetland meadow, as well as some coniferous forests, coniferous and broad-leaved mixed forests and burned slashes. Conclusion: The mass lightning fires caused by dense lightning processes account for the majority of lightning fires. The occurrence of mass lightning fires requires the coupling of dense lightning processes with extreme weather conditions of drought, as well as fuel available. When the lightning process is not synchronized with the precipitation process or the precipitation is less, and there is a rapid warming process in the early stage, and the intensive lightning process is accompanied by a drop in temperature, the lightning fires often occur in this period. In the process of lightning fire monitoring and early warning, we should pay special attention to the dense lightning process under drought conditions.

Key words: lightning fire, lightning, full waveform VLF/LF Lightning Location Monitoring System, electric current intensity, meteorology

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