@article{7b1f0762a1d547969bc6e1a5d858f9b2,
title = "Understanding Uneven Land Subsidence in Beijing, China, Using a Novel Combination of Geophysical Prospecting and InSAR",
abstract = "A novel approach was developed to quantitatively examine land subsidence. It combines a new geophysical (NG) prospecting and the interferometric synthetic aperture radar (InSAR) technology to explore uneven development of land subsidence in Beijing, China. We derived land subsidence spatial information over 4 years (from November 2014 to July 2018) based on Sentinel-1 satellite imagery and the small-baseline InSAR (SBAS-InSAR) method. Also, profile data were acquired using seismic frequency resonance (SFR) approach in a few settlement areas. We developed a geological model based on boreholes and SFR data. Thus, we can quantitively study the driving forces of a typical uneven land subsidence. We found that faults are controlling spatial developments of land subsidence in Beijing. The subsidence rates have different values along the same fault. Also, we revealed the contributions of compressible layers to the formation of uneven land subsidence.",
keywords = "InSAR, InSAR-SFR integration, land subsidence, seismic frequency resonance (SFR), subsidence driving forces",
author = "Lin Guo and Huili Gong and Jiwei Li and Lin Zhu and Aimin Xue and Lin Liao and Ying Sun and Yongsheng Li and Zhenxin Zhang and Leyin Hu and Mingliang Gao and Chaofan Zhou and Rui Cheng and Jiahui Zhou",
note = "Funding Information: This work was supported by the National Natural Science Foundation of China (Grant 41930109/D010702 and 41771455/D010702), the Beijing Natural Science Foundation (8202008), the Beijing Outstanding Young Scientist Program (BJJWZYJH01201910028032), and the General Project of Scientific Research Plan of Beijing Education Commission (KM202010028011). The authors would like to thank the anonymous referees for their constructive comments and suggestions how to improve this manuscript. We thank both the European Space Agency (ESA) for their great efforts in developing and distributing the remotely sensed SAR data and the National Aeronautics and Space Administration (NASA) for making the SRTM DEM data available. We also thank the creators of the SFR technology and ArcGIS software. Moreover, the provision of FRAM SBAS‐InSAR for data processing is gratefully acknowledged. Funding Information: This work was supported by the National Natural Science Foundation of China (Grant 41930109/D010702 and 41771455/D010702), the Beijing Natural Science Foundation (8202008), the Beijing Outstanding Young Scientist Program (BJJWZYJH01201910028032), and the General Project of Scientific Research Plan of Beijing Education Commission (KM202010028011). The authors would like to thank the anonymous referees for their constructive comments and suggestions how to improve this manuscript. We thank both the European Space Agency (ESA) for their great efforts in developing and distributing the remotely sensed SAR data and the National Aeronautics and Space Administration (NASA) for making the SRTM DEM data available. We also thank the creators of the SFR technology and ArcGIS software. Moreover, the provision of FRAM SBAS-InSAR for data processing is gratefully acknowledged. Publisher Copyright: {\textcopyright}2020. American Geophysical Union. All Rights Reserved.",
year = "2020",
month = aug,
day = "28",
doi = "10.1029/2020GL088676",
language = "English (US)",
volume = "47",
journal = "Geophysical Research Letters",
issn = "0094-8276",
publisher = "American Geophysical Union",
number = "16",
}