2023年 05期

基于实测数据的北京市区雷暴风识别和数据库组建

Database Construction and Identification of Thunderstorm Wind in Beijing Urban Area Based on Measured Data


摘要(Abstract):

为了探究北京市区的雷暴风风场特性,采用安装在不同高度的9个超声风速仪采集的大量连续高精度风速实测数据,依据不同风暴脉动及高斯平稳特性,开发分类子程序,采用定量控制和定性判断相结合的方法对强 风事件进行分离、识别,建立北京市区雷暴风数据库。结果表明:北京市区主要有大尺度稳态强风、雷暴风和中间事件3种类型强风暴;基于风暴特性开发的分类子程序可实现雷暴风的快速识别,需要进行专家定性判断的记录仅占0.26%;共获得314 个雷暴风记录,70个雷暴风事件,增加了现有雷暴风数据。

关键词(KeyWords): 雷暴风;实测数据;阵风因子;北京市区

基金项目(Foundation): 国家自然科学基金项目(52108431) ; 北京市自然科学基金项目(8222013) ; 北京建筑大学金字塔人才培养工程-建大英才

计划项目(JDYC20220806)

作者(Author): 张石,杨庆山,徐晓达

DOI: 10.13349/j.cnki.jdxbn.20230718.001

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