Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique

Beijing is severely affected by land subsidence, and rapid urbanisation and building construction might accelerate the land subsidence process. Based on 39 Envisat Advanced Synthetic Aperture Radar (ASAR) images acquired between 2003–2010, 55 TerraSAR-X images acquired between 2010–2016, and urban building information, we analysed the relationship between land subsidence and buildings at the regional, block, and building scales. The results show that the surface displacement rate in the Beijing urban area ranged from −109 mm/year to +13 mm/year between 2003–2010, and from −151 mm/year to +19 mm/year between 2010–2016; two subsidence bowls were mainly distributed in the eastern part of the Chaoyang District. The displacement rate agreed well with the levelling measurements, with an average bias of less than six mm/year. At the regional scale, the spatial pattern of land subsidence was mainly controlled by groundwater extraction, compressible layer thickness, and geological faults. Subsidence centres were located in the area around ground water funnels with a compressible layer depth of 50–70 m. The block-scale analysis demonstrated a clear correlation between the block construction age and the spatial unevenness of subsidence. The blocks constructed between 1998–2005 and after 2005 showed considerably more subsidence unevenness and temporal instability than the blocks constructed before 1998 during both time periods. The examination of the new blocks showed that the spatial unevenness increased with building volume variability. For the 16 blocks with a high building volume, variability, and subsidence unevenness, the building-scale analysis showed a positive relationship between building volume and settlement in most blocks, although the R2 was lower than 0.5. The results indicate that intense building construction in urban areas could cause differential settlement at the block scale in Beijing, while the settlement of single buildings could be influenced by the integrated effects of building volume, foundation structures, and the hydrogeological background.

[1]  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..

[2]  Deodato Tapete,et al.  Mapping interactions between geology, subsurface resource exploitation and urban development in transforming cities using InSAR Persistent Scatterers: Two decades of change in Florence, Italy , 2016 .

[3]  M. Moro,et al.  Subsidence induced by urbanisation in the city of Rome detected by advanced InSar technique and geotechnical investigations , 2008 .

[4]  Michele Manunta,et al.  Combined Use of C- and X-Band SAR Data for Subsidence Monitoring in an Urban Area , 2017 .

[5]  Xi Chen,et al.  Detection of Land Subsidence Associated with Land Creation and Rapid Urbanization in the Chinese Loess Plateau Using Time Series InSAR: A Case Study of Lanzhou New District , 2018, Remote. Sens..

[6]  Huili Gong,et al.  Spatial–temporal evolution patterns of land subsidence with different situation of space utilization , 2015, Natural Hazards.

[7]  Tazio Strozzi,et al.  Combining L- and X-Band SAR Interferometry to Assess Ground Displacements in Heterogeneous Coastal Environments: The Po River Delta and Venice Lagoon, Italy , 2016, Remote. Sens..

[8]  Zhen-Dong Cui,et al.  Application of grey theory-based model to prediction of land subsidence due to engineering environment in Shanghai , 2008 .

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

[10]  Nicola Casagli,et al.  Localising deformation along the elevation of linear structures: An experiment with space-borne InSAR and RTK GPS on the Roman Aqueducts in Rome, Italy , 2015 .

[11]  S. Samsonov,et al.  Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method , 2014, Environmental Earth Sciences.

[12]  Huili Gong,et al.  Land subsidence under different land use in the eastern Beijing plain, China 2005-2013 revealed by InSAR timeseries analysis , 2016 .

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

[14]  Federico Raspini,et al.  PSInSAR Analysis in the Pisa Urban Area (Italy): A Case Study of Subsidence Related to Stratigraphical Factors and Urbanization , 2016, Remote. Sens..

[15]  Daniele Perissin,et al.  Multi-Temporal InSAR Processing Comparison in Presence of High Topography , 2016, CENTERIS 2016.

[16]  Tazio Strozzi,et al.  Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI , 2015 .

[17]  Tazio Strozzi,et al.  Resolving land subsidence within the Venice Lagoon by persistent scatterer SAR interferometry , 2012 .

[18]  S. Shen,et al.  Analysis of urbanisation-induced land subsidence in Shanghai , 2012, Natural Hazards.

[19]  Huili Gong,et al.  InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China , 2016 .

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

[21]  Huili Gong,et al.  Spatial correlation between land subsidence and urbanization in Beijing, China , 2015, Natural Hazards.

[22]  Xiaojuan Li,et al.  Assessing the Impact of Building Volume on Land Subsidence in the Central Business District of Beijing with SAR Tomography , 2017 .

[23]  Liao Ming Subsidence Monitoring in Shanghai Using the PSInSAR Technique , 2012 .

[24]  Huili Gong,et al.  Land subsidence prediction in Beijing based on PS-InSAR technique and improved Grey-Markov model , 2017 .

[25]  Daniele Perissin,et al.  Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[26]  Huili Gong,et al.  Spatiotemporal evolution of land subsidence around a subway using InSAR time-series and the entropy method , 2017 .

[27]  Jun Yu,et al.  Imaging Land Subsidence Induced by Groundwater Extraction in Beijing (China) Using Satellite Radar Interferometry , 2016, Remote. Sens..

[28]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[29]  Zhen-Dong Cui,et al.  Centrifuge modeling of land subsidence caused by the high-rise building group in the soft soil area , 2010 .

[30]  Daniele Perissin,et al.  High-Accuracy Urban DEM Using Permanent Scatterers , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Milan Lazecky,et al.  MULTI BAND INSAR ANALYSIS OF SUBSIDENCE DEVELOPMENT BASED ON THE LONG PERIOD TIME SERIES , 2015 .