Skip to main content
SpringerLink
Log in

Two-Dimensional Ground Deformation Monitoring in Shanghai Based on SBAS and MSBAS InSAR Methods

  • Published:
Journal of Earth Science Aims and scope Submit manuscript

Abstract

Shanghai has experienced the greatest land subsidence in China in the past sixty years and produced undesirable environmental impact. However, horizontal ground deformation has not been understood yet. Therefore ground deformation monitoring together with the analysis of its driving forces are critical for geo-hazards early-warning, city planning and sustainable urbanization in Shanghai. In this paper, two-dimensional ground deformation monitoring was performed in Shanghai with SBAS and MSBAS InSAR methods. Twenty-nine Multi-Look Fine 6 (MF6) Radarsat-2 SLC data acquired during 2011–2013 were used to derive vertical ground deformation. Meanwhile, six descending Multi-Look Fine 6 (MF6) and four ascending Multi-Look Fine 2 (MF2) spanning April to August, 2008, were used to derive vertical and horizontal ground deformation during the observation period. The results indicate that vertical and horizontal deformations in 2008 were not homogeneously distributed in different districts ranging from 0–2 cm/year. Vertical deformation rate during 2011–2013 were decreased to less than 1 cm/year in most district of Shanghai area. Activities from groundwater exploitation and rapid urbanization are responsible for most of the ground deformation in Shanghai. Thus, future ground deformation in vertical and horizontal directions should be warranted.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References Cited

  • Berardino, P., Fornaro, G., Lanari, R., et al., 2002. A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11): 2375–2383. https://doi.org/10.1109/tgrs.2002.803792

    Article  Google Scholar 

  • Brunori, C. A., Bignami C., Albano M., et al., 2015. Land Subsidence, Ground Fissures and Buried Faults: InSAR Monitoring of Ciudad Guzmán (Jalisco, Mexico). Remote Sensing, 7(7): 8610–8630. https://doi.org/10.3390/rs70708610

    Article  Google Scholar 

  • Burbey, T. J., Helm, D. C., 1999. Modeling Three–Dimensional Deformation in Response to Pumping of Unconsolidated Aquifers. Environmental & Engineering Geoscience, 2: 199–212. https://doi.org/10.2113/gseegeosci.v.2.199

    Article  Google Scholar 

  • Chaussard, E., Bürgmann, R., Shirzaei, M., et al., 2014. Predictability of Hydraulic Head Changes and Characterization of Aquifer–System and Fault Properties from InSAR–Derived Ground Deformation. Journal of Geophysical Research: Solid Earth, 119(8): 6572–6590. https://doi.org/10.13039/100000104

    Google Scholar 

  • Chen, F., Lin, H., Zhang, Y., et al., 2012. Ground Subsidence Geo–Hazards Induced by Rapid Urbanization: Implications from InSAR Observation and Geological Analysis. Natural Hazards and Earth System Science, 12(4): 935–942. https://doi.org/10.5194/nhess-12-935-2012

    Article  Google Scholar 

  • Costantini, M., Rosen, P., 1999. A Generalized Phase Unwrapping Approach for Sparse Data. Proceedings of International Geoscience Remote Sensing Symposium, Hamburg. 267–269

    Google Scholar 

  • Damoah–Afari, P., 2006. Detecting Ground Settlement of Magacities Using InSAR Techniques: [Dissertation]. The Hong Kong Polytechnic University, Hong Kong

    Google Scholar 

  • Dong, S. C., Samsonov, S., Yin, H. W., et al., 2014. Time–Series Analysis of Subsidence Associated with Rapid Urbanization in Shanghai, China Measured with SBAS InSAR Method. Environmental Earth Sciences, 72(3): 677–691. https://doi.org/10.1007/s12665-013-2990-y

    Article  Google Scholar 

  • Dong, S. C., Yin, H. W., Yao, S. P., et al., 2013. Detecting Surface Subsidence in Coal Mining Area Based on DInSAR Technique. Journal of Earth Science, 24(3): 449–456. https://doi.org/10.1007/s12583-013-0342-1

    Article  Google Scholar 

  • Duzgun, H. S., Demirel, N., 2011. Remote Sensing of the Mine Environment. CRC Press, Balkema

    Google Scholar 

  • Fialko, Y., Simons, M., Agnew, D., 2001. The Complete (3–D) Surface Displacement Field in the Epicentral Area of the 1999MW7.1 Hector Mine Earthquake, California, from Space Geodetic Observations. Geophysical Research Letters, 28(16): 3063–3066. https://doi.org/10.1029/2001gl013174

    Article  Google Scholar 

  • Ge, L., Liang, X., Gong, X., et al., 2017. Application and Comparison of Various Methods for Determining Hydraulic Conductivity in Saturated Clay–Rich Deposits—A Case Study of Clay–Rich Sediments in North Jiangsu Coastal Plain. Earth Science, 42(5): 793–803 (in Chinese with English Abstract)

    Google Scholar 

  • Goldstein, R. M., Werner, C. L., 1998. Radar Interferogram Filtering for Geophysical Applications. Geophysical Research Letters, 25(21): 4035–4038. https://doi.org/10.1029/1998gl900033

    Article  Google Scholar 

  • Kusky, T. M., Ghulam, A., Wang, L., et al., 2010. Focusing Seismic Energy along Faults through Time–Variable Rupture Modes: Wenchuan Earthquake, China. Journal of Earth Science, 21(6): 910–922. https://doi.org/10.1007/s12583-010-0144-7

    Article  Google Scholar 

  • Liu, G. X., Zhang, R., Li, T., et al., 2012. Extracing 3D Ground Deformation Velocity Field by Multi–Platform Persistent Scatterer SAR Interferometry. Chinese Journal of Geophysics, 55(8): 2598–2610.

    Google Scholar 

  • López–Quiroz, P., Doin, M. P., Tupin, F., et al., 2009. Time Series Analysis of Mexico City Subsidence Constrained by Radar Interferometry. Journal of Applied Geophysics, 69(1): 1–15. https://doi.org/10.1016/j.jappgeo.2009.02.006

    Article  Google Scholar 

  • Luo, Y., Ye, S. J., Wu, J. C., et al., 2016. A Modified Inverse Procedure for Calibrating Parameters in a Land Subsidence Model and Its Field Application in Shanghai, China. Hydrogeology Journal, 24(3): 711–725. https://doi.org/10.13039/501100004608

    Article  Google Scholar 

  • Perissin, D., Wang, Z. Y., Lin, H., 2012. Shanghai Subway Tunnels and Highways Monitoring through Cosmo–SkyMed Persistent Scatterers. ISPRS Journal of Photogrammetry and Remote Sensing, 73: 58–67. https://doi.org/10.1016/j.isprsjprs.2012.07.002

    Article  Google Scholar 

  • Rao, G., Cheng, Y. L., Lin, A. M., et al., 2017. Relationship between Landslides and Active Normal Faulting in the Epicentral Area of the AD 1556 M~8.5 Huaxian Earthquake, SEWeihe Graben (Central China). Journal of Earth Science, 28(3): 545–554. https://doi.org/10.1007/s12583-017-0900-z

    Article  Google Scholar 

  • Rocca, F., 2003. 3D Motion Recovery with Multi–Angle and/or Left Right Interferometry. In: Proceeding of Fringe 2003 Workshop.

    Google Scholar 

  • Samsonov, S. V., D’Oreye, N., 2012. Multidimensional Time–Series Analysis of Ground Deformation from Multiple InSAR Data Sets Applied to Virunga Volcanic Province. Geophysical Journal International, 191: 1095–1108. https://doi.org/10.1111/j.1365-246x.2012.05669.x

    Google Scholar 

  • Samsonov, S. V., D’Oreye, N., Smets, B., 2013. Ground Deformation Associated with Post–Mining Activity at the French–German Border Revealed by Novel InSAR Time Series Method. International Journal of Applied Earth Observation and Geoinformation, 23: 142–154. https://doi.org/10.1016/j.jag.2012.12.008

    Article  Google Scholar 

  • Samsonov, S. V., González, P. J., Tiampo, K. F., et al., 2014a. Modeling of Fast Ground Subsidence Observed in Southern Saskatchewan (Canada) during 2008–2011. Natural Hazards and Earth System Science, 14(2): 247–257. https://doi.org/10.5194/nhess-14-247-2014

    Article  Google Scholar 

  • Samsonov, S. V., González, P. J., Tiampo, K. F., 2014b. Anthropogenic and Natural Ground Deformation near Bologna, Italy Observed by Radarsat–2 InSAR During 2008–2013. In: Pardo–Igúzquiza, E., Guardiola–Albert, C., Heredia, J., et al., eds., Mathematics of Planet Earth. Lecture Notes in Earth System Sciences. Springer, Berlin

  • Samsonov, S. V., Tiampo, K. F., Camacho, A. G., et al., 2014c. Spatiotemporal Analysis and Interpretation of 1993–2013 Ground Deformation at Campi Flegrei, Italy, Observed by Advanced DInSAR. Geophysical Research Letters, 41(17): 6101–6108. https://doi.org/10.1002/2014gl060595

    Article  Google Scholar 

  • Samsonov, S. V., Tiampo, K., Gonzales, P., et al., 2010. Modelling Deformation Occurring in the City of Auckland, New Zealand Mapped by the Differential Synthetic Aperture Radar. Journal of Geophysical Research: Solid Earth, 115: B08410. https://doi.org/10.1029/2009jb006806

    Google Scholar 

  • Samsonov, S. V., van der Koij, M., Tiampo, K., 2011. A Simultaneous Inversion for Deformation Rates and Topographic Errors of DInSAR Data Utilizing Linear Least Square Inversion Technique. Computers & Geosciences, 37(8): 1083–1091. https://doi.org/10.1016/j.cageo.2011.01.007

    Article  Google Scholar 

  • Shi, X. Q., Wu, J. C., Ye, S. J., et al., 2008. Regional Land Subsidence Simulation in Su–Xi–Chang Area and Shanghai City, China. Engineering Geology, 100(1/2): 27–42. https://doi.org/10.1016/j.enggeo.2008.02.011

    Article  Google Scholar 

  • Syvitski, J. P. M., Kettner, A. J., Overeem, I., et al., 2009. Sinking Deltas Due to Human Activities. Nature Geoscience, 2(10): 681–686. https://doi.org/10.1038/ngeo629

    Article  Google Scholar 

  • Usai, S., 2003. A Least Squares Database Approach for SAR Interferometric Data. IEEE Transactions on Geoscience and Remote Sensing, 41(4): 753–760. https://doi.org/10.1109/tgrs.2003.810675

    Article  Google Scholar 

  • Wang, G. Y., You, G., Shi, B., et al., 2009. Earth Fissures Triggered by Groundwater Withdrawal and Coupled by Geological Structures in Jiangsu Province, China. Environmental Geology, 57(5): 1047–1054. https://doi.org/10.1007/s00254-008-1390-1

    Article  Google Scholar 

  • Wang, X., Zhou, F., Zhang, Z., et al., 2017. Dynamic Deformation of the Oversized Cross–Section Rectangular Pipe–Jacking Tunnel. Earth Science, 41(11): 1959–1965 (in Chinese with English Abstract)

    Google Scholar 

  • Wegmuller, U., Werner, C., 1997. Gamma SAR Processor and Interferometry Software. Third ERS Symposium on Space at the Service of Our Environment, Florence

    Google Scholar 

  • Wright, T. J., Parsons, B. E., Zhong, L., 2004. Toward Mapping Surface Deformation in Three Dimensions Using InSAR. Geophysical Research Letters, 31(1): L01607. https://doi.org/10.1029/2003gl018827

    Article  Google Scholar 

  • Wu, J. C., Zhang, L. N., Chen, J., et al., 2012. Monitoring Ground Subsidence in Shanghai Maglev Area Using Two Kinds of SAR Data. Journal of Applied Geodesy, 6(3/4): 209–213. https://doi.org/10.1515/jag-2012-0024

    Google Scholar 

  • Wu, J., Shi, X., Xue, Y., et al., 2008. The Development and Control of the Land Subsidence in the Yangtze Delta, China. Environmental Geology, 55(8): 1725–1735

    Article  Google Scholar 

  • Xu, C., Xu, X. W., Tian, Y. Y., et al., 2016. Two Comparable Earthquakes Produced Greatly Different Coseismic Landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China Events. Journal of Earth Science, 27(6): 1008–1015. https://doi.org/10.1007/s12583-016-0684-6

    Article  Google Scholar 

  • Ye, S., Luo, Y., Wu, J. Y., et al., 2016. Three–Dimensional Numerical Modeling of Land Subsidence in Shanghai, China. Hydrogeology Journal, 24(3): 695–709. https://doi.org/10.13039/501100001809

    Article  Google Scholar 

  • Zhang, L., Wu, J., Li, T., et al., 2012. Monitoring Ground Deformation Based on Small Baseline Approach in Shanghai. Journal of Tongji University, 40(10): 1564–1568 (in Chinese with English Abstract)

    Google Scholar 

  • Zhang, Z., Liu, C. 2001. Research on Two Buried Quaternary Faults in Shanghai. Seismology and Geology, 23(4): 581–587 (in Chinese with English Abstract)

    Google Scholar 

  • Zhu, C., Zhang, J., Deng, K., et al., 2014. Three–Dimensional Displacement Field of Buildings Detection from Multi–Source SAR Imagery. Journal of China University of Mining & Technology, 43(4): 701–725 (in Chinese with English Abstract)

    Google Scholar 

Download references

Acknowledgments

The work in this paper was supported by the China Science National Foundation (No. 41372353). We would like to thank the Canadian Space Agency for providing Radarsat-2 SAR data. Images presented in this paper were plotted with GMT software. The final publication is available at Springer via https://doi.org/10.1007/s12583-017-0955-x..

Author information

Authors and Affiliations

  1. School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210046, China

    Shaochun Dong, Hongwei Yin & Lulu Huang

  2. Canada Centre for Mapping and Earth Observation, Natural Resources, Ottawa, ON, K1A0E4, Canada

    Sergey Samsonov

Authors
  1. Shaochun Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sergey Samsonov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hongwei Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lulu Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shaochun Dong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dong, S., Samsonov, S., Yin, H. et al. Two-Dimensional Ground Deformation Monitoring in Shanghai Based on SBAS and MSBAS InSAR Methods. J. Earth Sci. 29, 960–968 (2018). https://doi.org/10.1007/s12583-017-0955-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12583-017-0955-x

Key words

Search

Navigation