Abstract

In the Beijing plain, the long-term groundwater overexploitation, exploitation, and the utilization of superficial urban space have led to land subsidence. In this study, the spatial–temporal analysis of land subsidence in Beijing was assessed by using the small baseline subset (SBAS) interferometric synthetic aperture radar (InSAR) technique based on 47 TerraSAR-X SAR images from 2010 to 2015. Distinct variations of the land subsidence were found in the study regions. The maximum annual land subsidence rate was 146 mm/year from 2011 to 2015. The comparison between the SBAS InSAR results and the ground leveling measurements showed that the InSAR land subsidence results achieved a precision of 2 mm. In 2013, the maximum displacement reached 132 and 138 mm/year in the Laiguangying and DongbalizhuangDajiaoting area. Our analysis showed that the serious land subsidence mainly occurred in the following land use types: water area and wetland, paddy field, upland soils, vegetable land, and peasant-inhabited land. Our results could provide a useful reference for groundwater exploitation and urban planning.

Highlights

  • Land subsidence has become a global geological issue which threatens the human living environment

  • By the end of 2012, more than 2/3 of the area in the Beijing plain was affected by land total of five land subsidence bowls were formed, which were named as the DongbalizhuangDajiaoting, subsidence

  • The results indicate that the spatial distribution of the land subsidence varies widely

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Summary

Introduction

Land subsidence has become a global geological issue which threatens the human living environment. Applied PSI on the ENVISAT ASAR images from 2003 to 2010 to investigate the land subsidence in the northern Beijing plain They reported that the maximum deformation rate reached 52 mm/year, with a cumulative maximum sinking 342 mm in Houshayu, located in the southwestern part of the Beijing plain. The combination of the InSAR technology and optical remote sensing technology to investigate the characteristics of the land subsidence in the different land use types has been rarely studied In this manuscript, we applied the Stanford method for persistent scatterer (StaMPS) SBAS technique [10] to obtain long-term time-series land displacement information in the eastern Beijing plain based on 47 TerraSAR-X (X-band) images from 2010 to 2015. Our analysis was based on high-accuracy deformation results, which were evaluated by the ground truth leveling data

Remote
Data Source
48 November
SBAS-Derived Land Subsidence Map
Mean land subsidence rate
SBAS Accuracy Assessment
The SBAS-derived results
Comparisons
Correspondence
Relationships between Land Subsidence and Faults
Conclusions
Full Text
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