scholarly journals InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China

2017 ◽  
Vol 9 (4) ◽  
pp. 380 ◽  
Author(s):  
Chaofan Zhou ◽  
Huili Gong ◽  
Beibei Chen ◽  
Jiwei Li ◽  
Mingliang Gao ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Beijing Plain ◽  
Series Analysis ◽  
Land Use Types

scholarly journals Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis

2019 ◽  
Vol 11 (12) ◽  
pp. 1466 ◽  
Author(s):  
Mingliang Gao ◽  
Huili Gong ◽  
Xiaojuan Li ◽  
Beibei Chen ◽  
Chaofan Zhou ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Deformation Rate ◽  
Normal Operation ◽  
Integrated Analysis ◽  
Ground Fissure ◽  
Ground Fissures ◽  
International Airport ◽  
Series Analysis

Land subsidence is a global environmental geological hazard caused by natural or human activities. The high spatial resolution and continuous time coverage of interferometric synthetic aperture radar (InSAR) time series analysis techniques provide data and a basis for the development of methods for the investigation and evolution mechanism study of regional land subsidence. Beijing, the capital city of China, has suffered from land subsidence for decades since it was first recorded in the 1950s. It was reported that uneven ground subsidence and fractures have seriously affected the normal operation of the Beijing Capital International Airport (BCIA) in recent years before the overhaul of the middle runway in April 2017. In this study, InSAR time series analysis was successfully used to detect the uneven local subsidence and ground fissure activity that has been gradually increasing in BCIA since 2010. A multi-temporal InSAR (MT-InSAR) technique was performed on 63 TerraSAR-X/TanDem-X (TSX/TDX) images acquired between 2010 and 2017, then deformation rate maps and time series for the airport area were generated. Comparisons of deformation rate and displacement time series from InSAR and ground-leveling were carried out in order to evaluate the accuracy of the InSAR-derived measurements. After an integrated analysis of the distribution characteristics of land subsidence, previous research results, and geological data was carried out, we found and located an active ground fissure. Then main cause of the ground fissures was preliminarily discussed. Finally, it can be conducted that InSAR technology can be used to identify and monitor geological processes, such as land subsidence and ground fissure activities, and can provide a scientific approach to better explore and study the cause and formation mechanism of regional subsidence and ground fissures.

Relation between Land Subsidence and Deep Groundwater Exploitation in Cangzhou City

2013 ◽  
Vol 864-867 ◽  
pp. 2213-2217 ◽  
Author(s):  
Ju Yan Zhu ◽  
Hai Peng Guo
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Quantitative Relationship ◽  
Quantitative Relation ◽  
Short Term ◽  
Deep Groundwater ◽  
Groundwater Exploitation ◽  
Series Analysis

Due to long-term excessive exploitation of groundwater, serious land subsidence has been caused in Cangzhou City, Hebei Province, China. With GIS spatial analysis method, this paper conducted an analysis of the quantitative relationship between deep groundwater exploitation and the land subsidence in this area. This quantitative relation was analyzed by using data of both long-term and short-term time series. The long-term time series analysis indicates that the land subsidence volume accounts for 57.6% of the amount of deep groundwater exploitation, indirectly showing the proportion of released water from compressibility of the aquifers and the aquitards in deep groundwater exploitation. Some factors such as hysteresis effects of subsidence may be ignored in the short-term time series analysis, thus the calculated ratio becomes significantly large. From perspective of water resources evaluation, the long-term time series analysis is better to analyze the relation between land subsidence and deep groundwater exploitation.

Land subsidence and ground fissures in Xi'an, China 2005–2012 revealed by multi-band InSAR time-series analysis

2014 ◽  
Vol 155 ◽  
pp. 366-376 ◽  
Author(s):  
Feifei Qu ◽  
Qin Zhang ◽  
Zhong Lu ◽  
Chaoying Zhao ◽  
Chengsheng Yang ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Ground Fissures ◽  
Series Analysis ◽  
Multi Band

InSAR time-series analysis of land subsidence in Bangkok, Thailand

2013 ◽  
Vol 34 (8) ◽  
pp. 2969-2982 ◽  
Author(s):  
Anuphao Aobpaet ◽  
Miguel Caro Cuenca ◽  
Andrew Hooper ◽  
Itthi Trisirisatayawong
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Subsidence ◽  
Series Analysis
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