Articles | Volume 382
Pre-conference publication
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Rapid Land Subsidence in Tianjin, China Derived from Continuous GPS Observations (2010–2019)

Ruibin Zhao, Guoquan Wang, Xiao Yu, Xiaohan Sun, Yan Bao, Genru Xiao, Weijun Gan, and Shuilong Shen

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Cited articles

Bao, Y., Guo, W., Wang, G., Gan, W., Zhang, M., and Shen, S.: Millimeter-accuracy structural deformation monitoring using stand-alone GPS: case study in Beijing, China, J. Surv. Eng., 144, 05017007,, 2017. 
Bertiger, W., Desai, S., Haines, B., Harvey, N., Moore, A., Owen S., and Weiss, J.: Single receiver phase ambiguity resolution with GPS data, J. Geodesy, 84, 327–337,, 2010. 
Chaussard, E., Wdowinski, S., Cabral-Cano, E., and Amelung, F.: Land subsidence in central Mexico detected by ALOS InSAR time series, Remote Sens. Environ. 140, 94–106,, 2014. 
Du, Z., Ge, L., Ng, A. H., Zhu, Q., Zhang, Q., Kuang, J., and Dong, Y.: Long- term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors, Land Degrad. Dev., 30, 1785–1801,, 2019. 
Guo, W., Wang, G., Bao, Y., Li, P., Zhang, M., Gong, Q., Li, R., Gao, Y., Zhao, R., and Shen, S.: Detection and monitoring of tunneling-induced riverbed deformation using GPS and BeiDou: a case study, Appl. Sci., 9, 2759,, 2019. 
Short summary
This art presents ten years of urban subsidence derived from continuous GPS stations operated by the Crustal Movement Observational Network of China within and adjacent to the municipality of Tianjin. The subsidence time series presented in this study provide reliable “ground truth” and constraints for calibrating or validating subsidence estimations from numerical modeling and repeated surveys using other remote sensing techniques.