Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR

In recent years, with the development of urban expansion in Zhengzhou city, the underground resources, such as underground water and coal mining, have been exploited greatly, which have resulted in ground subsidence and several environmental issues. In order to study the spatial distribution and temporal changes of ground subsidence of Zhengzhou city, the Interferometric Synthetic Aperture Radar (InSAR) time series analysis technique combining persistent scatterers (PSs) and distributed scatterers (DSs) was proposed and applied. In particular, the orbit and topographic related atmospheric phase errors have been corrected by a phase ramp correction method. Furthermore, the deformation parameters of PSs and DSs are retrieved based on a layered strategy. The deformation and DEM error of PSs are first estimated using conventional PSI method. Then the deformation parameters of DSs are retrieved using an adaptive searching window based on the initial results of PSs. Experimental results show that ground deformation of the study area could be retrieved by the proposed method and the ground deformation is widespread and unevenly distributed with large differences. The deformation rate ranges from −55 to 10 mm/year, and the standard deviation of the results is about 8 mm/year. The observed InSAR results reveal that most of the subsidence areas are in the north and northeast of Zhengzhou city. Furthermore, it is found that the possible factors resulting in the ground subsidence include sediment consolidation, water exploitation, and urban expansion. The result could provide significant information to serve the land subsidence mitigation in Zhengzhou city.

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

[3]  Wujiao Dai,et al.  Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China , 2015, Natural Hazards.

[4]  M. Giordano,et al.  Urban and rural groundwater use in Zhengzhou, China: challenges in joint management , 2009 .

[5]  Xiaojing Li,et al.  Land subsidence characteristics of Bandung Basin as revealed by ENVISAT ASAR and ALOS PALSAR interferometry , 2014 .

[6]  Zhong Fan,et al.  Flat earth removal and baseline estimation based on orbit parameters using Radarsat-2 image , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[7]  Tim J. Wright,et al.  InSAR reveals coastal subsidence in the Pearl River Delta, China , 2012 .

[8]  Brian Brisco,et al.  RADARSAT-2 D-InSAR for ground displacement in permafrost terrain, validation from Iqaluit Airport, Baffin Island, Canada , 2014 .

[9]  Halim Setan,et al.  DEFORMATION ANALYSIS OF A GEODETIC MONITORING NETWORK , 2001 .

[10]  P. Rosen,et al.  On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[11]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  He-ping Sun,et al.  Monitoring land subsidence in the southern part of the lower Liaohe plain, China with a multi-track PS-InSAR technique , 2017 .

[13]  Teng Wang,et al.  Repeat-Pass SAR Interferometry With Partially Coherent Targets , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Lihua Li,et al.  Ground deformation monitoring of Zhengzhou city from 2012 to 2013 using an improved IPTA , 2015, Natural Hazards.

[15]  H. Gong,et al.  Characterizing land displacement in complex hydrogeological and geological settings: a case study in the Beijing Plain, China , 2017, Natural Hazards.

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

[17]  Xiaoli Ding,et al.  Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis , 2015 .

[18]  Hong Zhang,et al.  Subsidence monitoring in coal area using time-series InSAR combining persistent scatterers and distributed scatterers , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[19]  Fulong Chen,et al.  Ground subsidence geo-hazards induced by rapid urbanization: implications from InSAR observation and geological analysis , 2012 .

[20]  Levent Taşçi,et al.  Dam deformation measurements with GPS , 2008 .

[21]  J. Jiao,et al.  Groundwater-derived land subsidence in the North China Plain , 2015, Environmental Earth Sciences.

[22]  Chao Wang,et al.  Analysis of ground subsidence at a coal-mining area in Huainan using time-series InSAR , 2015 .

[23]  A. Jarvis Hole-field seamless SRTM data, International Centre for Tropical Agriculture (CIAT) , 2008 .

[24]  Bin Zhang,et al.  Subsidence prediction and susceptibility zonation for collapse above goaf with thick alluvial cover: a case study of the Yongcheng coalfield, Henan Province, China , 2016, Bulletin of Engineering Geology and the Environment.

[25]  J. Mallorquí,et al.  The Coherent Pixels Technique (CPT): An Advanced DInSAR Technique for Nonlinear Deformation Monitoring , 2008 .

[26]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[27]  LI Zhi-ming,et al.  Land Subsidence Survey and Monitoring in the North China Plain , 2006 .

[28]  Howard A. Zebker,et al.  Decorrelation in interferometric radar echoes , 1992, IEEE Trans. Geosci. Remote. Sens..

[29]  T. Wright,et al.  InSAR Observations of Low Slip Rates on the Major Faults of Western Tibet , 2004, Science.

[30]  Haibo Bi,et al.  Land subsidence in the modern Yellow River Delta based on InSAR time series analysis , 2015, Natural Hazards.

[31]  Jian-bing Peng,et al.  Characteristics and mechanism of the Longyao ground fissure on North China Plain, China , 2016 .

[32]  Evaluation and Trend Analysis of Surface Water Quality in Zhengzhou in 1998–2008 , 2012 .

[33]  Hyung-Sup Jung,et al.  A Novel Multitemporal InSAR Model for Joint Estimation of Deformation Rates and Orbital Errors , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[34]  Yunwei Tang,et al.  Deformation retrieval in large areas based on multibaseline DInSAR algorithm: a case study in Cangzhou, northern China , 2008 .

[35]  Jun-huan Peng,et al.  Monitoring Urban Subsidence with Multi-master Radar Interferometry Based on Coherent Targets , 2015, Journal of the Indian Society of Remote Sensing.

[36]  Jordi J. Mallorquí,et al.  Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..

[37]  Hyung-Sup Jung,et al.  Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin , 2012 .

[38]  Yuanyuan Wang,et al.  Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data , 2012 .