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作 者:朱晓武 段宏山 陈国恒 刘垒 ZHU Xiaowu;DUAN Hongshan;CHEN Guoheng;LIU Lei(Surveying and Mapping Institute of Lands and Resource Department of Guangdong Province,Guangzhou 510500,China)
出 处:《测绘通报》2023年第10期163-167,共5页Bulletin of Surveying and Mapping
基 金:广东省科技计划项目(2021B1212100003);广东省海洋经济发展(海洋六大产业)专项资金项目(粤自然资合[2022]21号)。
摘 要:GNSS水汽探测是反映灾害性天气形成、演变的重要技术手段。为拓展以BDS为主的粤港澳大湾区海洋观测业务化应用,本文以大湾区沿海城市为例,选取受台风、风暴潮、强降雨等海洋灾害环境影响较大的8月,利用GPS、BDS、GLONASS、Galileo反演分析多系统GNSS大气可降水量(PWV)的变化特征。结果表明,与无线电探空数据比较,各卫星系统相关系数均大于0.9,表现为强相关性,具有较高的反演精度;结合试验区气象站的实际降水量监测来看,PWV的积累会产生降雨,各卫星系统的8月PWV均值整体达53~60 mm,与实际降水量的空间分布相符。因此,综合考虑GNSS在海洋观测和防灾减灾的优势,为近岸多模GNSS网的布设提供思路。GNSS water vapor detection is an important technical means to reflect the formation and evolution of severe weather.In order to expand the operational application of Marine observation in the Guangdong-Hong Kong-Macao Greater Bay Area mainly based on BDS,this paper took coastal cities in the Greater Bay Area as an example,and selected August,which was heavily affected by Marine disasters such as typhoons,storm surges and heavy rainfall,to analyze the variation characteristics of multi-system GNSS atmospheric precipitation(PWV)using GPS,BDS,GLONASS,Galileo retrieval.The results show that,compared with radiosonde data,the correlation coefficients of each satellite system are all greater than 0.9,showing strong correlation and high inversion accuracy;Combined with the actual rainfall monitoring of meteorological stations in the experimental area,the accumulation of PWV will produce rainfall.The average PWV of all satellite systems in August is 53~60 mm,which is consistent with the spatial distribution of actual rainfall.Therefore,comprehensively considering the advantages of GNSS in ocean observation and disaster prevention and mitigation,it provides ideas for the layout of near-shore multi-mode GNSS network.
关 键 词:GNSS 大气可降水量 粤港澳大湾区 反演分析 海洋灾害
分 类 号:P228[天文地球—大地测量学与测量工程]
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