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Remote Sens. 2018, 10(3), 365; https://doi.org/10.3390/rs10030365

Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms

1,2,3,4,*, 2,3,4,*, 2,3,4, 2,3,4, 2,3,4, 2,3,4, 2,3,4, 5 and 6
1
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China
2
Base of the State Key Laboratory of Urban Environmental Process and Digital Modeling, Capital Normal University, Beijing 100048, China
3
Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, China
4
Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
5
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
6
School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China
*
Authors to whom correspondence should be addressed.
Received: 25 December 2017 / Revised: 26 January 2018 / Accepted: 18 February 2018 / Published: 26 February 2018
(This article belongs to the Special Issue Remote Sensing of Land Subsidence)
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PDF [12949 KB, uploaded 26 February 2018]
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Abstract

Land subsidence is the disaster phenomenon of environmental geology with regionally surface altitude lowering caused by the natural or man-made factors. Beijing, the capital city of China, has suffered from land subsidence since the 1950s, and extreme groundwater extraction has led to subsidence rates of more than 100 mm/year. In this study, we employ two SAR datasets acquired by Envisat and TerraSAR-X satellites to investigate the surface deformation in Beijing Plain from 2003 to 2013 based on the multi-temporal InSAR technique. Furthermore, we also use observation wells to provide in situ hydraulic head levels to perform the evolution of land subsidence and spatial-temporal changes of groundwater level. Then, we analyze the accumulated displacement and hydraulic head level time series using continuous wavelet transform to separate periodic signal components. Finally, cross wavelet transform (XWT) and wavelet transform coherence (WTC) are implemented to analyze the relationship between the accumulated displacement and hydraulic head level time series. The results show that the subsidence centers in the northern Beijing Plain is spatially consistent with the groundwater drop funnels. According to the analysis of well based results located in different areas, the long-term groundwater exploitation in the northern subsidence area has led to the continuous decline of the water level, resulting in the inelastic and permanent compaction, while for the monitoring wells located outside the subsidence area, the subsidence time series show obvious elastic deformation characteristics (seasonal characteristics) as the groundwater level changes. Moreover, according to the wavelet transformation, the land subsidence time series at monitoring well site lags several months behind the groundwater level change. View Full-Text
Keywords: land subsidence; InSAR; hydraulic head; continuous wavelet transform land subsidence; InSAR; hydraulic head; continuous wavelet transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gao, M.; Gong, H.; Chen, B.; Li, X.; Zhou, C.; Shi, M.; Si, Y.; Chen, Z.; Duan, G. Regional Land Subsidence Analysis in Eastern Beijing Plain by InSAR Time Series and Wavelet Transforms. Remote Sens. 2018, 10, 365.

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