Research on Monitoring Land Subsidence in Beijing Plain Area Using PS-InSAR Technology
GU Zhao-qin1, GONG Hui-li1*, ZHANG You-quan1*, LU Xue-hui1, 2, WANG Sa1, WANG Rong3, LIU Huan-huan1
1. College of Resource Environment and Tourism, Capital Normal University Beijing 100048, China 2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China 3. Beijing Institute of Hydrogelogy and Engineering Geology, Beijing 100095, China
Abstract：In the present paper, the authors use permanent scatterers synthetic aperture radar interferometry (PS-InSAR) technique and 29 acquisitions by Envisat during 2003 to 2009 to monitor and analyze the spatial-temporal distribution and mechanism characterize of land subsidence in Beijing plain area. The results show that subsidence bowls have been bounded together in Beijing plain area, which covers Chaoyang, Changping, Shunyi and Tongzhou area, and the range of subsidence has an eastward trend. The most serious regional subsidence is mainly distributed by the quaternary depression in Beijing plain area. PS-Insar results also show a new subsidence bowl in Pinggu. What’s more, the spatial and temporal distribution of deformation is controlled mainly by faults, such as Liangxiang-Shunyi fault, Huangzhuang-Gaoliying fault, and Nankou-Sunhe fault. The subsidence and level of groundwater in study area shows a good correlation, and the subsidence shows seasonal ups trend during November to March and seasonal downs trend during March to June along with changes in groundwater levels. The contribution of land subsidence is also influenced by stress-strain behavior of aquitards. The compaction of aquitards shows an elastic, plastic, viscoelastic pattern.
顾兆芹1，宫辉力1*，张有全1*，卢学辉1,2，王 洒1，王 荣3, 刘欢欢1 . PS-InSAR技术在北京平原区地面沉降监测中的应用研究 [J]. 光谱学与光谱分析, 2014, 34(07): 1898-1902.
GU Zhao-qin1, GONG Hui-li1*, ZHANG You-quan1*, LU Xue-hui1, 2, WANG Sa1, WANG Rong3, LIU Huan-huan1 . Research on Monitoring Land Subsidence in Beijing Plain Area Using PS-InSAR Technology. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(07): 1898-1902.
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