测绘通报 ›› 2020, Vol. 0 ›› Issue (6): 63-66,98.doi: 10.13474/j.cnki.11-2246.2020.0182

• 学术研究 • 上一篇    下一篇

利用GPS/BDS/GLONASS/Galileo组合PPP反演大气可降水量

李宏达1, 张显云1, 廖留峰2, 李婷3, 聂士海1   

  1. 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
  • 收稿日期:2019-10-11 修回日期:2019-12-07 发布日期:2020-07-01
  • 通讯作者: 张显云。E-mail:mec.xyzhang@gzu.edu.cn E-mail:mec.xyzhang@gzu.edu.cn
  • 作者简介:李宏达(1994-),男,硕士生,研究方向为GNSS气象学。E-mail:1229978853@qq.com
  • 基金资助:
    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)

Retrieval of precipitable water vapor by using combined GPS/BDS/GLONASS/Galileo PPP method

LI Hongda1, ZHANG Xianyun1, LIAO Liufeng2, LI Ting3, NIE Shihai1   

  1. 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
  • Received:2019-10-11 Revised:2019-12-07 Published:2020-07-01

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。

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

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.

Key words: GNSS meteorology, PPP, multi-system fusion, precipitable water vapor retrieval, zenith total delay

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