首页|基于GNSS-PWV的深圳地区一次暴雨时空变化特征分析

基于GNSS-PWV的深圳地区一次暴雨时空变化特征分析

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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。
Analysis of Temporal-Spatial Variation Characteristics of A Rainstorm in Shenzhen Based on GNSS-PWV
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 actual precipitation amount.Atmospheric thermodynamic conditions like air temperature and pressure played an indicative role in the generation of rainstorms.The long-term retention of the residual vortex of Typhoon Haikui was identified as an important factor contributing to this extreme rainstorm.Additionally,the topographic relief of Shenzhen also significantly contributed to the uneven distribution of precipitation.

GNSSrainstormprecipitable water vaporatmospheric thermodynamics

张紫怡、罗亦泳、曹志德、陈枫

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东华理工大学测绘与空间信息工程学院,330013,南昌

中国兵器工业北方勘察设计研究院有限公司,050011,石家庄

深圳市规划和自然资源调查测绘中心,518034,广东,深圳

全球导航卫星系统 暴雨 可降水量 大气热动力学

2024

江西科学
江西省科学院

江西科学

影响因子:0.286
ISSN:1001-3679
年,卷(期):2024.42(6)