Abstract

We have established a stable regional geodetic reference frame, designated as SChina20, using approximately 10-year observations (2010–2019) at 40 Global Navigation Satellite System (GNSS) sites in South China. The regional reference frame is tied to the International GNSS Service (IGS) Reference Frame 2014 (IGS14) at epoch 2020.0. The primary products from this study are seven parameters for transforming the positional time series from IGS14 to SChina20 and a seasonal model for predicting vertical land surface displacements in South China. The frame stability of SChina20 is 0.4  mm/year in all three directions. We suggest that the scope of usage of SChina20 is spatially limited to the South China region and temporally limited to the 25-year time window from 2000 to 2025. We have also established a local-scale reference frame for the Hong Kong–Zhuhai–Macau (HZM) area, designated as HZM20. Applications of SChina20 in delineating urban subsidence and landslide are demonstrated in this article. SChina20 will be updated every few years to mitigate degradation of the frame stability over time and to synchronize with future updates of the IGS reference frame.

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Data Availability Statement

The GNSS-derived displacement time series used for this study are available from the first author ([email protected]) upon request.

Acknowledgments

This investigation was supported by the National Science Foundation of China (No. 51829801) (Y. Bao), the China Scholarship Council (X. Ding), the Key Laboratory for Digital Land and Resources of Jiangxi province at East China University of Technology (No. DLLJ201616, R. Xiao), the Key Laboratory of Soft Soil Engineering Character and Engineering Environment of Tianjin at the Tianjin Chengjian University (R. Zhao). The authors acknowledge the CMONOC project for providing GNSS data. Maps were generated using the Generic Mapping Tools (Wessel et al. 2013). The topographic and bathymetric datasets used for Figs. 1, 2, and 6 are from the GEBCO_2020 Grid (https://www.gebco.net).

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Journal of Surveying Engineering
Volume 147Issue 3August 2021

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Received: Jul 26, 2020
Accepted: Dec 30, 2020
Published online: Mar 22, 2021
Published in print: Aug 1, 2021
Discussion open until: Aug 22, 2021

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Yan Bao, Ph.D. [email protected]
Associate Professor, Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
Ph.D. Candidate, Dept. of Earth and Atmospheric Sciences, Univ. of Houston, Houston, TX 77204. Email: [email protected]
Guoquan Wang, Ph.D., M.ASCE [email protected]
Professor, Dept. of Earth and Atmospheric Sciences, Univ. of Houston, Houston, TX 77204 (corresponding author). Email: [email protected]
Haijun Zhou, Ph.D. [email protected]
Professor, Institute of Urban Smart Transportation and Safety Maintenance, Shenzhen Univ., Shenzhen 518060, China. Email: [email protected]
Xiaoguang Ding [email protected]
Senior Engineer, Shaanxi Earthquake Agency, 4 Shuiwen Rd., Xian 710068, China. Email: [email protected]
Genru Xiao, Ph.D. [email protected]
Associate Professor, Key Laboratory for Digital Land and Resources of Jiangxi Province, East China Univ. of Technology, Nanchang 330013, China. Email: [email protected]
Shuilong Shen, Ph.D. [email protected]
Professor, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, Shantou Univ., Shantou, Guangdong 515063, China. Email: [email protected]
Ruibin Zhao, Ph.D. [email protected]
Professor, School of Geology and Geomatics, Tianjin Chengjian Univ., Tianjin 300384, China. Email: [email protected]
Weijun Gan, Ph.D. [email protected]
Professor, State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China. Email: [email protected]

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