Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China

Chen, Beibei Gong, Huili Lei, Kunchao Li, Jiwei Zhou, Chaofan Gao, Mingliang Guan, Hongliang Lv, Wei

Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China

Chen, Beibei 1Gong, Huili 1Lei, Kunchao 2Li, Jiwei 3Zhou, Chaofan 1Gao, Mingliang 1Guan, Hongliang 1Lv, Wei1
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作者信息

  • 1. Capital Normal Univ, Base State Key Lab Urban Environm Proc & Digital, Beijing 100048, Peoples R China
  • 2. Beijing Inst Hydrogeol & Engn Geol, Beijing 100195, Peoples R China
  • 3. Univ Massachusetts, Dept Geosci, Amherst, MA 01003 USA
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Abstract

Land subsidence is rapidly developing across the Beijing Plain, China. Long-term intense overexploitation of groundwater is the main reason for land subsidence in Beijing. In this study, an optimized Small Baseline Subset (SBAS) interferometry method was developed to process 46 RADATSAT-2 images from 2011 to 2015 to investigate the spatial and temporal dynamics of land subsidence in the Beijing Plain. The lag time between land subsidence and groundwater exploitation was first analyzed by the Continuous Wavelet Transform (CWT) and Cross Wavelet Transform (XWT) methods Our study found that the maximum subsidence rate reached 141 mm per year. The analysis of the areas and volumes of the annual subsidence rates indicated that the overall deformation trend slowed down from 2011 to 2015. Our results indicate that the subsidence center is always located in the southeast of Chaoyang District from 2011 to 2015. The lag time between the observed subsidence and the groundwater level drops in the main exploration aquifer layers was 0.57-1.76 months. This information is helpful to reveal the mechanism of land subsidence and build hydrogeological model.

Key words

InSAR/Land subsidence/Groundwater/Lag time

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN:0303-2434
被引量26
参考文献量40
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