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

Shaochun Dong; Sergey Samsonov; Hongwei Yin; Lulu Huang

doi:10.1007/s12583-017-0955-x

Volume 29 Issue 4

Jul 2018

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Journal of Earth Science > 2018 > 29(4): 960-968.

Shaochun Dong, Sergey Samsonov, Hongwei Yin, Lulu Huang. Two-Dimensional Ground Deformation Monitoring in Shanghai Based on SBAS and MSBAS InSAR Methods. Journal of Earth Science, 2018, 29(4): 960-968. doi: 10.1007/s12583-017-0955-x

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Shaochun Dong, Sergey Samsonov, Hongwei Yin, Lulu Huang. Two-Dimensional Ground Deformation Monitoring in Shanghai Based on SBAS and MSBAS InSAR Methods. Journal of Earth Science, 2018, 29(4): 960-968. doi: 10.1007/s12583-017-0955-x

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

doi: 10.1007/s12583-017-0955-x

1.
School of Earth Sciences and Engineering, Nanjing University; Nanjing 210046, China
2.
Canada Centre for Mapping and Earth Observation, Natural Resources, Ottawa ON K1A0E4, Canada

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Corresponding author: Shaochun Dong
Received Date: 03 Jul 2017
Accepted Date: 27 Nov 2017
Publish Date: 01 Aug 2018

Abstract

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) Radar-sat-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 de-formation 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.
- Shanghai,
- SBAS InSAR,
- MSBAS InSAR,
- ground deformation,
- ground fissures

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References(41)

References

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

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

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

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

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

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

Damoah-Afari, P., 2006. Detecting Ground Settlement of Magacities Using InSAR Techniques: [Dissertation]. The Hong Kong Polytechnic Uni-versity, Hong Kong

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

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

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

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. Ge-ophysical Research Letters, 28(16):3063-3066. https://doi.org/10.1029/2001gl013174

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)

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

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

Liu, G. X., Zhang, R., Li, T., et al., 2012. Extracing 3D Ground Deformation Velocity Field by Multi-Platform Persistent Scatterer SAR In-terferometry. Chinese Journal of Geophysics, 55(8):2598-2610. http://en.cnki.com.cn/Article_en/CJFDTotal-DQWX201208012.htm

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

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 Ap-plication in Shanghai, China. Hydrogeology Journal, 24(3):711-725. https://doi.org/10.13039/501100004608

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

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, SE Weihe Graben (Central China). Journal of Earth Science, 28(3):545-554. https://doi.org/10.1007/s12583-017-0900-z

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

Samsonov, S. V., d'Oreye, N., 2012. Multidimensional Time-Series Analy-sis 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

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

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

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., Guar-diola-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

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

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

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. Engineer-ing Geology, 100(1/2):27-42. https://doi.org/10.1016/j.enggeo.2008.02.011

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

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

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

Wang, X., Zhou, F., Zhang, Z., et al., 2017. Dynamic Deformation of the Oversized Cross-Section Rectangular Pipe-Jacking Tunnel. Earth Sci-ence, 41(11):1959-1965 (in Chinese with English Abstract) http://jglobal.jst.go.jp/en/public/20090422/201702227168118074

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

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

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

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 doi: 10.1007/s00254-007-1123-x

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

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

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)

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) http://en.cnki.com.cn/Article_en/CJFDTotal-DZDZ200104007.htm

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)

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

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