顾及远场水文负荷影响的区域GNSS陆地水储量反演:以川滇地区为例

刘斌, 周灿, 饶维龙, 冯腾飞, 陈津津

刘斌, 周灿, 饶维龙, 冯腾飞, 陈津津. 顾及远场水文负荷影响的区域GNSS陆地水储量反演:以川滇地区为例[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240371
引用本文: 刘斌, 周灿, 饶维龙, 冯腾飞, 陈津津. 顾及远场水文负荷影响的区域GNSS陆地水储量反演:以川滇地区为例[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240371
LIU Bin, ZHOU Can, RAO Weilong, FENG Tengfei, CHEN Jinjin. Inversion of Regional Terrestrial Water Storage Using GNSS Observations Considering the Impact of Far-Field Hydrological Loading: A Case Study in the Sichuan-Yunnan Region[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240371
Citation: LIU Bin, ZHOU Can, RAO Weilong, FENG Tengfei, CHEN Jinjin. Inversion of Regional Terrestrial Water Storage Using GNSS Observations Considering the Impact of Far-Field Hydrological Loading: A Case Study in the Sichuan-Yunnan Region[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240371

顾及远场水文负荷影响的区域GNSS陆地水储量反演:以川滇地区为例

基金项目: 

湖南省自然资源厅科研项目(HBZ20240115)

国家自然科学基金(42304028)

湖南省教育厅科学研究项目(22B0346,22C0154)

湖南省自然科学基金(2022JJ90009,2023JJ40022)

长沙理工大学公路地质灾变预警空间信息技术湖南省工程实验室开放基金(kfj220602)

详细信息
    作者简介:

    刘斌,博士,特聘副教授,主要从事卫星大地测量学研究。binliu@csust.edu.cn

    通讯作者:

    饶维龙,博士,讲师。raoweilong@csust.edu.cn

Inversion of Regional Terrestrial Water Storage Using GNSS Observations Considering the Impact of Far-Field Hydrological Loading: A Case Study in the Sichuan-Yunnan Region

  • 摘要: 在利用全球导航卫星系统(Global Navigation Satellite System,GNSS)位移数据进行区域陆地水储量(terrestrial water storage, TWS)反演研究中,一般通过拓展区域边界来顾及一定范围内的水文负荷变化影响,而忽略了GNSS站点位移受到的远场水文负荷效应影响。利用完整(全波段)的GNSS位移信息来约束反演区域的陆地水储量变化,二者频谱信息并不完全对应。以川滇地区为例,利用全球陆地数据同化系统(Global Land Data Assimilation System, GLDAS)和GRACE(Gravity Recovery And Climate Experiment)数据计算了川滇地区GNSS站点中水文负荷位移,结果显示远场水文负荷引起的GNSS站点垂直位移最高可达约2mm;进一步利用剔除了远场水文负荷影响的GNSS位移反演川滇地区TWS变化,结果显示利用GLDAS和GRACE计算的顾及远场效应的TWS反演结果平均振幅分别减小19.1%和25.4%,都更加趋近GLDAS与GRACE结果;同时,两种反演格网内等效水高序列与GRACE和GLDAS中序列的有着更高的相关性,与二者结果的差值均方根值(Difference Root Mean Square, DRMS)都有不同程度减小。
    Abstract: Objectives: In the inversion of regional terrestrial water storage (TWS) using Global Navigation Satellite System (GNSS) data, it is common to expand the study area's boundaries to account for hydrological loading variations. However, effects of far-field hydrological loading on GNSS stations are often overlooked. When using full-range GNSS displacement data to constrain the TWS within the inversion region, the displacement information of the two does not completely correspond. Methods: We propose a GNSS regional TWS inversion method that considers far-field hydrological loading effects, focusing on the Sichuan-Yunnan region. Using Global Land Data Assimilation System (GLDAS) and Gravity Recovery and Climate Experiment (GRACE) data from January 2013 to May 2023, we calculate the displacements at GNSS stations in Sichuan-Yunnan due to hydrological loading from local, near, and far fields. Far-field displacement information is subtracted from the total GNSS displacements to refine the regional TWS inversion. Results: (1) With GLDAS data as the global hydrologic loading, the displacement amplitudes of GNSS sites from local, near, and far fields can reach 3.8 mm, 1.6 mm, and 2.3 mm, respectively. (2) Simulations using GLDAS-calculated site displacement show that de-remote field inversion results correlate most closely with GLDAS hydrologic loading scenarios, achieving a correlation of 0.98. (3) Extended inversion using GNSS data, after removing the far-field effect, shows that the average amplitude of TWS inversion results (GNSS(F_GL) and GNSS(F_GR)) is reduced by 19.1% and 25.4%, respectively. (4) The grid equivalent water height series in the two inversion accounting for far-field effects have a higher correlation with those in GRACE and GLDAS than in the extended inversion. Conclusions: In the inversion of TWS in Sichuan-Yunnan region using vertical GNSS observations, the displacements caused by far-field hydrological loading can not be ignored, and the far-field effect need be corrected while expanding the boundary inversion to ensure the accuracy of the inversion results.
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出版历程
  • 收稿日期:  2025-02-19

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