Analysis of Relationship Between CMONOC Coordinate Time Series Considering Rainfall and Hydrological Loading Under ITRF2014 Framework

被引：0
|
作者：
He Y. [1 ]
Nie G. [1 ,2 ,3 ]
Wu S. [1 ]
Li H. [1 ]
Liao M. [1 ]
Guo Y. [1 ]
机构：
[1] GNSS Research Center, Wuhan University, Wuhan
[2] Collaborative Innovation Centre of Geospatial Information Technology, Wuhan
[3] Hubei Luojia Laboratory, Wuhan
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2024年 / 49卷 / 06期
关键词：
annual am⁃ plitude; CMONOC coordinate time series; goodness of fit; hydrological loading; rainfall;
D O I：
10.13203/j.whugis20220042
中图分类号：
学科分类号：
摘要：
Objectives: Hydrological loading has an important influence on crustal movement observation network of China (CMONOC) coordinate time series, and rainfall directly affects the magnitude of hy⁃ drological loading. Methods: We use CMONOC coordinate time series under the international terrestrial reference frame 2014 (ITRF2014), MERRA2 (modern-era retrospective analysis for research and applica⁃ tions, version 2) model and the rainfall data in China to analyze the relationship among them. Results: The results show that the impact of hydrological loading on the CMONOC stations is mainly reflected in the ver⁃ tical direction. Especially in the Pearl River Basin and the south, southwest and southeast of the Yangtze River Basin, the hydrological loading has a significant influence on the displacement of the stations. The maximum root mean square value of the hydrological loading series can reach 5.47 mm. Both hydrological loading and rainfall show relatively obvious latitude correlation. The higher the latitude, the smaller of the magnitude of hydrological loading and rainfall, and the goodness of fit with R2 can reach 0.63 and 0.55, re⁃ spectively. At the same time, the rainfall and hydrological loading also show an obvious linear relationship, with R2 reaching 0.49. If the average annual rainfall increases, the magnitude of hydrological loading also in⁃ creases. For periodic signals, the rainfall, hydrological loading and CMONOC coordinate time series are consistent. The annual amplitude of hydrological loading and CMONOC coordinate time series with the annual average rainfall all show a relatively obvious linear relationship, and R2 reach 0.64 and 0.37, respectively. Conclusions: In the study of the influence of hydrological loading on global navigation satellite system coor⁃ dinate time series, in addition to soil moisture, snow cover and canopy water, rainfall is also a part of the reasons that need to be discussed. © 2024 Editorial Department of Geomatics and Information Science of Wuhan University. All rights reserved.
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页码：960 / 969
页数：9
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