中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (6): 165-170.doi: 10.16265/j.cnki.issn1003-3033.2019.06.027

• 公共安全 • 上一篇    下一篇

融合多种实时监测数据的雷电预警模型

庞华基 高级工程师, 张源源 工程师, 宋琳 工程师   

  1. 青岛市气象灾害防御工程技术研究中心,山东 青岛 266003
  • 收稿日期:2019-03-10 修回日期:2019-05-05 发布日期:2020-11-02
  • 作者简介:庞华基(1970—),男,山东莱西人,博士,高级工程师,主要从事雷电波传输理论、雷电预警方法和雷电防御技术方面的研究。E-mail:phj1970@163.com。
  • 基金资助:
    国家自然科学基金资助(41775042);山东省气象局面上课题(2017sdqxm12)。

Lightning warning model based on multiple real-time monitoring data

PANG Huaji, ZHANG Yuanyuan, SONG Lin   

  1. Qingdao Meteorological Disaster Prevention Engineering and Technology Research Center, Qingdao Shandong 266003, China
  • Received:2019-03-10 Revised:2019-05-05 Published:2020-11-02

摘要: 为提高雷电预警的准确率和时效性,融合大气电场、闪电定位和天气雷达3种实时监测信息,建立雷电实时预警系统。首先,根据大气电场的变化规律,构建雷电预警模型;其次,分别设计这3种监测数据的预警算法,并选定合理的预警阈值;最后,采用信息靶向推送技术,将雷电预警信息精准发送到出现预警网格内的用户。结果表明:多种数据融合的预警模型,合理的预警阈值设置,系统全流程自动运行,并采用预警信息的靶向推送技术,能够改善雷电预警效果;经多次雷暴过程检验,该系统能够在闪电发生前5~30 min发出雷电预警。

关键词: 雷电预警, 大气电场, 闪电定位, 雷达探测, 数据融合

Abstract: In order to improve the accuracy and timeliness of lightning prewarning, a real-time lightning warning system is established based on the monitoring information of atmospheric electric field, lightning location and weather radar. Firstly, a lightning warning model was built according to the changing rule of atmospheric electric field. Secondly, the warning algorithms of these three kinds of data were designed separately, and the reasonable warning thresholds were selected. Finally, lightning warning information was sent accurately to the customers who were located in the warning grids through targeted sending technology. Results show that the integrated model of multiple data with the reasonable setting of warning threshold,the fully automatic operation of the system and the targeted sending technology of information can improve the effect of lightning prewarning, it is also find that the systems is able to send out lightning warning 5-30 minutes ahead through several tests of thunderstorm process.

Key words: lightning warning, atmospheric electric field, lightning location, radar detection, data integration

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