Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong

Abstract Surface loading effects related to atmospheric, hydrological, non-tidal ocean, are one of the principal sources of the seasonal oscillations in GNSS time series, and it should be taken into account for improving GNSS accuracy. In this study, the daily vertical time series of 9 GNSS stations...

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Main Authors: Hongli Lv, Xiaoxing He, Shunqiang Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-86986-w
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author Hongli Lv
Xiaoxing He
Shunqiang Hu
author_facet Hongli Lv
Xiaoxing He
Shunqiang Hu
author_sort Hongli Lv
collection DOAJ
description Abstract Surface loading effects related to atmospheric, hydrological, non-tidal ocean, are one of the principal sources of the seasonal oscillations in GNSS time series, and it should be taken into account for improving GNSS accuracy. In this study, the daily vertical time series of 9 GNSS stations at Hong Kong was used to investigate the surface loading (sum of atmospheric loading, hydrological loading, non-tidal ocean loading (AHNL)) contributors of seasonal oscillations in GNSS observations. This paper reveals a correlation between the AHNL deformation and the GNSS vertical time series, with an average correlation coefficient of 0.5. The GNSS vertical time series and the corresponding AHNL deformation at all stations exhibit identical amplitudes and phases. The average root mean square (RMS) reduction is 15% at all stations after removing the AHNL deformation from the GNSS vertical time series, implying that AHNL may contribute to non-linear fluctuations in GNSS observations at Hong Kong. Furthermore, the independent component analysis (ICA) method was performed to extract periodic signals from the GNSS time series. ICA method can effectively separate the seasonal signals related to AHNL, the seasonal signals show a strong correlation with AHNL deformations, with Lin correlation coefficients above 0.6. Finally, we carried out cross wavelet transform (XWT) method to quantitatively express the annual phase relationship between GNSS vertical time series and AHNL deformation. The XWT result shows AHNL mainly contribute to the annual oscillation in GNSS observations.
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spelling doaj-art-de3dccb473b4409aa9a24aec06aa84212025-01-26T12:27:42ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-025-86986-wInvestigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong KongHongli Lv0Xiaoxing He1Shunqiang Hu2School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and TechnologySchool of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and TechnologyKey Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education, Jiangxi Normal UniversityAbstract Surface loading effects related to atmospheric, hydrological, non-tidal ocean, are one of the principal sources of the seasonal oscillations in GNSS time series, and it should be taken into account for improving GNSS accuracy. In this study, the daily vertical time series of 9 GNSS stations at Hong Kong was used to investigate the surface loading (sum of atmospheric loading, hydrological loading, non-tidal ocean loading (AHNL)) contributors of seasonal oscillations in GNSS observations. This paper reveals a correlation between the AHNL deformation and the GNSS vertical time series, with an average correlation coefficient of 0.5. The GNSS vertical time series and the corresponding AHNL deformation at all stations exhibit identical amplitudes and phases. The average root mean square (RMS) reduction is 15% at all stations after removing the AHNL deformation from the GNSS vertical time series, implying that AHNL may contribute to non-linear fluctuations in GNSS observations at Hong Kong. Furthermore, the independent component analysis (ICA) method was performed to extract periodic signals from the GNSS time series. ICA method can effectively separate the seasonal signals related to AHNL, the seasonal signals show a strong correlation with AHNL deformations, with Lin correlation coefficients above 0.6. Finally, we carried out cross wavelet transform (XWT) method to quantitatively express the annual phase relationship between GNSS vertical time series and AHNL deformation. The XWT result shows AHNL mainly contribute to the annual oscillation in GNSS observations.https://doi.org/10.1038/s41598-025-86986-wSurface loadingGNSSAHNLXWTICA
spellingShingle Hongli Lv
Xiaoxing He
Shunqiang Hu
Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
Scientific Reports
Surface loading
GNSS
AHNL
XWT
ICA
title Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
title_full Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
title_fullStr Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
title_full_unstemmed Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
title_short Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong
title_sort investigating surface loading effect on seasonal crustal deformation observed by gnss in hong kong
topic Surface loading
GNSS
AHNL
XWT
ICA
url https://doi.org/10.1038/s41598-025-86986-w
work_keys_str_mv AT honglilv investigatingsurfaceloadingeffectonseasonalcrustaldeformationobservedbygnssinhongkong
AT xiaoxinghe investigatingsurfaceloadingeffectonseasonalcrustaldeformationobservedbygnssinhongkong
AT shunqianghu investigatingsurfaceloadingeffectonseasonalcrustaldeformationobservedbygnssinhongkong