| 利用GPS/BDS/GLONASS/Galileo组合PPP反演大气可降水量 |
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| 引用本文： | 李宏达,张显云,廖留峰,李婷,聂士海.利用GPS/BDS/GLONASS/Galileo组合PPP反演大气可降水量[J].测绘通报,2020,0(6):63. |
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| 作者姓名： | 李宏达 张显云 廖留峰 李婷 聂士海 |
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| 作者单位： | 1. 贵州大学矿业学院, 贵州 贵阳 550025;2. 贵州省生态气象和卫星遥感中心, 贵州 贵阳 550002;3. 日照市睿航地理信息工程有限公司, 山东 日照 276000 |
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| 基金项目： | 国家自然科学基金（41701464；41901225）；贵州省科学技术基础研究计划（[2017]1026；[2017]1054；[2016]1028）；贵州省科技支撑计划（[2017]2593）；贵州大学研究生重点课程建设（ZDKC[2015]029） |
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| 摘 要： | 为进一步改善精密单点定位（PPP）探测大气可降水量（PWV）的性能，本文提出采用GPS/BDS/GLONASS/Galileo组合PPP进行PWV反演的方法，并利用国内3个MGEX（multi-GNSS experiment）观测站的实测数据，对GPS/BDS/GLONASS/Galileo组合PPP在大气水汽探测方面的性能进行了评估。试验结果表明：相较于GPS PPP、GPS/BDS组合PPP和GPS/GLONASS组合PPP，GPS/BDS/GLONASS/Galileo组合PPP估计天顶对流层延迟（ZTD）的初始化时间分别缩短了33%、26%、20%，且能获得更高精度的ZTD估值和PWV信息，在大气水汽探测方面的性能更优。
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| 关 键 词： | GNSS气象学 精密单点定位 多系统融合 水汽反演 对流层延迟 |
| 收稿时间： | 2019-10-11 |
| 修稿时间： | 2019-12-07 |
Retrieval of precipitable water vapor by using combined GPS/BDS/GLONASS/Galileo PPP method |
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| LI Hongda,ZHANG Xianyun,LIAO Liufeng,LI Ting,NIE Shihai.Retrieval of precipitable water vapor by using combined GPS/BDS/GLONASS/Galileo PPP method[J].Bulletin of Surveying and Mapping,2020,0(6):63. |
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| Authors: | LI Hongda ZHANG Xianyun LIAO Liufeng LI Ting NIE Shihai |
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| Institution: | 1. College of Mining, Guizhou University, Guiyang 550025, China;2. Guizhou Ecological Meteorology and Remote Sensing Center, Guiyang 550002, China;3. Rizhao City Ruihang Geographic Information Engineering Co., Ltd., Rizhao 276000, China |
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| Abstract: | In order to further improve the performance of detecting precipitable water vapor (PWV) by using precise point positioning (PPP), this paper proposes a method of retrieval PWV by using GPS/BDS/GLONASS/Galileo combined PPP technology. Based on the measured data of three domestic multi-GNSS experimental project observation stations, the performance of GPS/BDS/GLONASS/Galileo combined PPP in atmospheric water vapor detection was evaluated. The experimental results show that: Compared with GPS PPP, GPS/BDS combination PPP and GPS/GLONASS combination PPP, GPS/BDS/GLONASS/Galileo combination PPP estimates the zenith tropospheric delay (ZTD) initialization time increased by 33%, 26%, 20% respectively, and it can obtain more accurate ZTD estimates and PWV information, and has better performance in atmospheric water vapor detection. |
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| Keywords: | GNSS meteorology PPP multi-system fusion precipitable water vapor retrieval zenith total delay |
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