At the same time, Beijing is also a region where the tectonic movement is more active. Since the
late Cenozoic era, there have been three active vertical tectonic zones (stripes) with strong
differential faults. They are the NE-trending North China Plain fault zone, the Shanxi fault
depression basin zone, and the Zhangjiakou-Bohai structural belt that is superimposed on the NW-
wise extension of the northern part of these two zones and the southern margin of the Yanshan
Mountains [4]. The seismic and geologic environment in the area is complex. The activities of the
new structure are intense and the active faults are developed. It is one of the regions with the most
severe earthquakes and the most serious earthquake disasters in the eastern part of China's mainland.
Historically, there have been many major earthquakes in the area, such as the magnitude 8.0
earthquake in Sanhe-Pinggu and many over magnitude 5.0 earthquake [5]. Strengthening the
monitoring and research on the features of crustal movement and fault activity in this area is of great
significance for the prevention and relief of disasters in the region.
In recent years, more and more research teams have begun to pay attention to the phenomenon of
land subsidence in Beijing. A variety of crustal deformation observation methods, such as leveling,
GPS, and InSAR, are used for ground subsidence monitoring in the area. Among these observation
technologies, InSAR technology as a kind of surface deformation monitoring of the rapid
development of the technology, with its high monitoring precision, wide coverage, the application of
low cost, short repeated cycle of advantages, is widely used in the ground deformation monitoring [6].
Land subsidence due to over-extraction of groundwater in the Beijing region was investigated using
41 Envisat ASAR and 14 TSX images and the results reveal that the Beijing region has experienced
significant ground subsidence from 2003 to 2010 with a maximum accumulative displacement of 790
mm [7]. As the same method, Land subsidence from 2003 to 2014 due to groundwater extraction in
Beijing plain was detected based on 39 ENVISAT ASAR images and 27 RadarSat-2 images using
PS- InSAR, which showed that the land surface in Beijing plain area is settling at an accelerating rate,
and the accumulative displacement is up to 1426 mm along the LOS by the end of 2014 [8]. Based on
A multi-layer numerical groundwater flow model, an aquifer system of Beijing plain has been
developed to accurately describe the characteristics of the groundwater flow field [9]. A Wavelet
Based InSAR approach on two SAR image stacks was implemented to investigate the long-term
displacement in eastern Beijing Plain and found that the Land subsidence in Beijing Plain has
connection with hydraulic head level falling caused by over-exploitation of groundwater [10].
Based on the above research progress, there are still some problems as following:
1) Most studies focused on the relationship between land subsidence and groundwater
Overexploitation, without considering the context of the geological structure and the relationship
between fault activities.
2) Most of the studies focused only on the subsidence areas in the plain area and did not cover the
mountainous areas, which could not explain the overall movement characteristics of the whole area.
3) Due to the fact that there are few wide-range radar satellite data available during the period
2012-2015, most studies are based on high-resolution SAR images such as TerraSAR-X, which
limits the ability to acquire large-scale deformation signal.
In this paper, INSAR time series analysis method based on 33 Radarsat-2 wide SAR imagery
from 2012 to 2015 were used to obtain large-scale dynamic deformation time series and mean
deformation velocity field in Beijing. Based on these results, the information of the overall vertical
deformation in Beijing during this period was calculated, and the trend of land subsidence in the area
and its relationship with fault activity were analyzed.
Crustal Deformation Monitoring in Beijing Using Radarsat-2 InSAR Time Series Analysis
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