Integrating SAR and Geographic Information Data Revealing Land Subsidence and Geological Risks of Shanghai City

Author:

Wang Xiaying12,Yang Yumei2,Xia Yuanping12,Chen Shuaiqiang2,She Yulin2

Affiliation:

1. Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, China

2. School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China

Abstract

As one of the most developed coastal cities, Shanghai experiences long-term ground surface settlement disasters during urban expansion periods, which has adverse effects on economic development. To date, many studies regarding Shanghai’s ground surface sedimentation have been conducted with microwave remote sensing technology. However, the systematic and timely analysis of the time series deformation results and risk evaluation is still absent. Therefore, we focused on the following aspects in this study: Firstly, revealing in detail the time series deformation characteristics during 2016–2022 with Sentinel-1A images and verifying the deformation results with different InSAR technologies and SAR data. Secondly, fully discussing the reasons for ground sedimentation from the aspects of subway construction, land use type, monthly rainfall, and human activities, and studying the correlation between surface deformation and rainfall with the singular spectrum analysis (SSA) method. Finally, conducting a risk evaluation and risk level division using the entropy method, combining the long time series deformation results and geoinformation data. Meanwhile, the following conclusions were reached: 1. There are six typical deformation areas, distributed in the Baoshan District, Minhang District, and Jinshan District of Pudong New District from 2016 to 2022. The maximum annual rate is −32.3 mm/a, and the maximum cumulative sedimentation reaches −188.6 mm. 2. Ground sedimentation is mainly due to engineering construction during city development and verifies the weak correlation between surface deformation and rainfall. 3. We obtained different levels of geological hazard risk areas, and Huangpu, Yangpu, Hongkou District, the northwest area of Pudong New Area, and the vicinity of Dishui Lake belong to higher-risk areas. The above time series deformation research results and systematic analysis of induced factors, and the higher-risk-area division, will provide valuable insights for urban risk management.

Funder

Natural Science Foundation of China

Research Fund for the Doctoral Program of East China University of Technology

Science and Technology Research Project of Jiangxi Provincial Department of Education in 2021

East China University of Technology Graduate Innovation Fund Project

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference59 articles.

1. Ortega-Guerrero, M.A., and Carrillo-Rivera, J.J. (2012). Land Subsidence in Urban Environment, Springer.

2. Hypsometric changes in urban areas resulting from multiple years of mining activity;Solarski;Sci. Rep.,2022

3. Resolving vertical tectonics in the San Francisco Bay area from Permanent Scatterer InSAR and GPS analysis;Roland;Geology,2006

4. Coseismic and early post-seismic slip associated with the 1999 Izmit earthquake (Turkey), from SAR interferometry and tectonic field observations;Ziyadin;Geophys. J. R. Astron. Soc.,2010

5. The characteristics of surface vertical deformation before the Wenchuan MS 8. 0 earthquake from InSAR;Xin;Chin. J. Geophys.,2009

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