Three-Dimensional Surface Deformation Characteristics Based on Time Series InSAR and GPS Technologies in Beijing, China

Excessive exploitation of the groundwater has resulted in obvious three-dimensional (3D) deformation features on the surface of the Beijing Plain. This paper, by combining Interferometric Synthetic Aperture Radar (InSAR) and Global Positioning System (GPS) technologies, has obtained time-series information of the 3D surface deformation in the Beijing Plain, analyzing its spatial distribution characteristics. On this basis, the relationship between different controlling factors with the 3D deformation of the surface has been analyzed as well. The following results are obtained: (1) From 2013 to 2018, the land subsidence, which generally showed the trend of slowing down, was mainly concentrated in the eastern, northern, and southern regions of Beijing Plain, with multiple subsidence centers. (2) Under the International Terrestrial Reference Frame 2005 (ITRF2005), the horizontal direction of all GPS points in the plain is basically the same, with the dominant movement direction being NE112.5°~NE113.8°. Under the Eurasian reference frame, the horizontal movement rate of GPS points significantly decreases. The movement rate and direction of each point are not characteristic of overall trend activity. (3) The distribution and extent of the 3D surface deformation in the Beijing Plain are controlled by the basement structure. Part of the subsided area corresponds to a Quaternary depression formed at the junction of active faults disrupting the area. Similarly, the distribution of horizontal deformation in the E-W and N-S directions of the plain is controlled by the regional basement structure comprising major faults bounding horizontal deformation. (4) Groundwater exploitation is the main cause of the 3D surface deformation in the Beijing Plain. The groundwater funnels of the second and third confined aquifer are in suitable agreement with the land subsidence. The horizontal movement in the Beijing Plain is either directed toward the center of the groundwater or the land subsidence funnel, and the deformation is directed from areas with higher to areas with lower groundwater levels.

[1]  T. Burbey Three-dimensional deformation and strain induced by municipal pumping, Part 2: Numerical analysis , 2006 .

[2]  Zhong Lu,et al.  Land subsidence and ground fissures in Xi'an, China 2005-2012 revealed by multi-band InSAR time-series analysis , 2014 .

[3]  Joong-Sun Won,et al.  Measurement of three-dimensional surface deformation by Cosmo-SkyMed X-band radar interferometry: Application to the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai'i , 2015 .

[4]  Jyr‐Ching Hu,et al.  The contribution to tectonic subsidence by groundwater abstraction in the Pingtung area, southwestern Taiwan as determined by GPS measurements , 2006 .

[5]  Sergey V. Samsonov,et al.  Application of DInSAR-GPS optimization for derivation of three-dimensional surface motion of the southern California region along the San Andreas fault , 2008, Comput. Geosci..

[6]  Yinchang Zhao,et al.  The realization of half-metal and spin-semiconductor for metal adatoms on arsenene , 2016 .

[7]  Keren Dai,et al.  Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Feng Zhu,et al.  InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China , 2017, Remote. Sens..

[9]  Yao Yibin Analysis of crustal movement characteristics in the China mainland by high precision repeated measurements of GPS network , 2008 .

[10]  M. Simons,et al.  A satellite geodetic survey of large-scale deformation of volcanic centres in the central Andes , 2002, Nature.

[11]  T. Burbey,et al.  Review: Regional land subsidence accompanying groundwater extraction , 2011 .

[12]  F. Guangcai,et al.  Source parameters of the 2014 Mw 6.1 South Napa earthquake estimated from the Sentinel 1A, COSMO-SkyMed and GPS data , 2015 .

[13]  Mingliang Gao,et al.  Characterization and causes of land subsidence in Beijing, China , 2017 .

[14]  Effects of horizontal strain in estimating specific storage and compaction in confined and leaky aquifer systems , 1999 .

[15]  Davide Notti,et al.  Twenty-year advanced DInSAR analysis of severe land subsidence: The Alto Guadalentín Basin (Spain) case study , 2015 .

[16]  Yun Chen,et al.  Effects of Water Diversion Project on groundwater system and land subsidence in Beijing, China , 2020 .

[17]  H. Gong,et al.  Land subsidence due to groundwater withdrawal in the northern Beijing plain, China , 2015 .

[18]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[19]  Xiaojing Li,et al.  Land subsidence characteristics of Bandung Basin as revealed by ENVISAT ASAR and ALOS PALSAR interferometry , 2014 .

[20]  Hansheng Wang,et al.  Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique , 2014, Remote. Sens..

[21]  Huili Gong,et al.  Characterization of land subsidence induced by groundwater withdrawals in the plain of Beijing city, China , 2014, Hydrogeology Journal.

[22]  Jordi J. Mallorqui,et al.  Study of the land subsidence in Orihuela City (SE Spain) using PSI data: Distribution, evolution and correlation with conditioning and triggering factors , 2010 .

[23]  Liyuan Li,et al.  Correlating the subsidence pattern and land use in Bandung, Indonesia with both Sentinel-1/2 and ALOS-2 satellite images , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[24]  Alfonso Rivera,et al.  Land subsidence in major cities of Central Mexico: Interpreting InSAR-derived land subsidence mapping with hydrogeological data , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[25]  H. Gong,et al.  Long-term groundwater storage changes and land subsidence development in the North China Plain (1971–2015) , 2018, Hydrogeology Journal.

[26]  U. Wegmüller,et al.  Land subsidence and associated ground fracturing: study cases in central Mexico with ALOS-2 PALSAR-2 ScanSAR Interferometry , 2020 .

[27]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[28]  R. Hanssen,et al.  Sinkhole occurrence monitoring over shallow abandoned coal mines with satellite-based persistent scatterer interferometry , 2019, Engineering Geology.

[29]  D. C. Helm Three dimensional consolidation theory in terms of the velocity of solids , 1987 .

[30]  Yun Chen,et al.  Land subsidence and its relation with groundwater aquifers in Beijing Plain of China. , 2020, The Science of the total environment.

[31]  Wei Lv,et al.  Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China , 2019, Int. J. Appl. Earth Obs. Geoinformation.

[32]  Z. Yue,et al.  Review on current status and challenging issues of land subsidence in China , 2004 .

[33]  Xiuqin Wu,et al.  Characteristics of change in temperature during the past 50 years in Jilin province of China , 2002 .

[34]  Hongan Wu,et al.  Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks , 2016, Remote. Sens..

[35]  P. Teatini,et al.  Coupling land use evolution and subsidence in the Po Delta, Italy: Revising the past occurrence and prospecting the future management challenges. , 2019, The Science of the total environment.