基于GNSS-PWV的深圳地区一次暴雨时空变化特征分析  

Analysis of Temporal-Spatial Variation Characteristics of A Rainstorm in Shenzhen Based on GNSS-PWV

作　　者：张紫怡 罗亦泳[1] 曹志德 陈枫 ZHANG Ziyi;LUO Yiyong;CAO Zhide;CHEN Feng(School of Surveying and Geoinformation Engineering,East China University of Technology,330013,Nanchang,PRC;China North Industries Norengeo Ltd.,050011,Shijiazhuang,PRC;Shenzhen Planning and Natural Resources Investigating Surveying and Mapping Center,518034,Shenzhen,Guangdong,PRC)

机构地区：[1]东华理工大学测绘与空间信息工程学院,南昌330013 [2]中国兵器工业北方勘察设计研究院有限公司,石家庄050011 [3]深圳市规划和自然资源调查测绘中心,广东深圳518034

出　　处：《江西科学》2024年第6期1271-1278,共8页Jiangxi Science

基　　金：江西省自然科学基金项目(20202BABL204070)。

摘　　要：2023年9月,受台风“海葵”的影响,深圳遭受了罕见的极端暴雨,给城市发展和经济发展带来极大损失。基于深圳8个CORS站反演得到PWV,分析了此次暴雨产生的原因及暴雨前后PWV、温度和气压等气象参数的时空分布特征。结果表明,对于不同的地区,PWV总体增幅在一定程度上可以反映降水的强度,但是单个PWV最大值与实际降水量的大小并没有直接对应关系。气温和气压等大气热动力条件在暴雨生成过程中具有一定的指示作用。台风海葵残余涡流的长时间滞留是导致本次极端暴雨的重要原因。此外,深圳地形的起伏也是造成降水分布不均匀的重要原因。In September 2023,Shenzhen was struck by Typhoon‘Haikui’,leading to a rare extreme rainstorm that caused substantial losses to urban and economic development.By inverting the PWV data from eight continuously operating reference system(CORS)in Shenzhen,this study analyzed the causes of this rainstorm and the spatiotemporal distribution characteristics of meteorological parameters such as PWV,temperature,and atmospheric pressure before and after the rainstorm.The results showed that in different regions,the overall increase in PWV could,to a certain extent,reflect the intensity of precipitation However, the maximum value of a single PWV did not directly correspond to the actualprecipitation amount. Atmospheric thermodynamic conditions like air temperature andpressure played an indicative role in the generation of rainstorms. The long-term retentionof the residual vortex of Typhoon Haikui was identified as an important factor contributingto this extreme rainstorm. Additionally, the topographic relief of Shenzhen also significantlycontributed to the uneven distribution of precipitation.

关 键 词：全球导航卫星系统 暴雨 可降水量 大气热动力学 

分 类 号：P228[天文地球—大地测量学与测量工程]