Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology

Zhou, Chaofan; Gong, Huili; Chen, Beibei; Li, Xiaojuan; Li, Jiwei; Wang, Xu; Gao, Mengtan; Yuan, Shuai; Lin, Guo‐Qiang; Shi, Min; Duan, Guangyao

doi:10.1016/j.geomorph.2019.03.017

Cited by 67 publications

(51 citation statements)

References 37 publications

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“…Figure 2 is the distribution map of the quaternary sediments (QS) and major faults, superimposed with compressible thickness (CT) contours and recorded epicenters around the study site. The quaternary sediments with good compressibility near the study area are about 150-250 m thick, which was proved to provide geological conditions for the generation and development of local land subsidence [42]. The Shunyi-liangxiang fault is one of the major faults crossing the study area, with a total length of 35 km and a trend of~30-40 NE.…”

Section: Study Sitementioning

confidence: 90%

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

Gao

Gong

et al. 2019

Remote Sensing

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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.

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Section: Study Sitementioning

confidence: 90%

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

Gao

Gong

et al. 2019

Remote Sensing

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“…2020, 12, 457 3 of 22 reached 4000 km 2 . The areas affected by land subsidence comprise more than 60% of the Beijing Plain and form six land subsidence funnels [40][41][42][43][44].…”

Section: Study Areamentioning

confidence: 99%

Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China

et al. 2020

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The long-term overexploitation of groundwater leads to serious land subsidence and threatens the safety of Beijing-Tianjin-Hebei (BTH). In this paper, an interferometric point target analysis (IPTA) with small baseline subset InSAR (SBAS-InSAR) technique was used to derive the land subsidence in a typical BTH area from 2012 to 2018 with 126 Radarsat-2 and 184 Sentinel-1 images. The analysis reveals that the average subsidence rate reached 118 mm/year from 2012 to 2018. Eleven subsidence features were identified: Shangzhuang, Beijing Airport, Jinzhan and Heizhuanghu in Beijing, Guangyang and Shengfang in Langfang, Wangqingtuo in Tianjin, Dongguang in Cangzhou, Jingxian and Zaoqiang in Hengshui and Julu in Xingtai. Comparing the different types of land use in subsidence feature areas, the results show that when the land-use type is relatively more complex and superimposed with residential, industrial and agricultural land, the land subsidence is relatively more significant. Moreover, the land subsidence development patterns are different in the BTH areas because of the different methods adopted for their water resource development and utilization, with an imbalance in their economic development levels. Finally, we found that the subsidence changes are consistent with groundwater level changes and there is a lag period between land subsidence and groundwater level changes of approximately two months in Beijing Airport, Jinzhan, Jingxian and Zaoqiang, of three months in Shangzhuang, Heizhuanghu, Guangyang, Wangqingtuo and Dongguang and of four months in Shengfang.

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“…The overexploitation of groundwater resulted in an obvious recession in the level of said groundwater in the BP from 2003 to 2014, as well as in an increase in effective stress, which led to the consolidation of aquifer systems, thus causing serious land subsidence [3,16]. Quaternary loose sediments are widely distributed in the BP, which provide basic geological conditions for land subsidence, although the thickness of compressible layers varies greatly [21]. As shown in Figure 1c, the thickness of compressible layers gradually increases from the top to the bottom of the alluvial plain [22].…”

Section: Study Areamentioning

confidence: 99%

“…Zamanirad et al [20] modeled land subsidence susceptibility by using boosted regression trees and also indicated that groundwater exploitation is the most important influencing factor for the occurrence of land subsidence. Zhou et al [21] quantified the contribution rate of the influencing factors of land subsidence to cumulative land subsidence. Compared to cumulative land subsidence, uneven subsidence may cause greater economic loss.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method

Gong

Chen

et al. 2020

Remote Sensing

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As a common geological hazard, land subsidence is widely distributed in the Eastern Beijing Plain. The pattern of evolution of this geological phenomenon is controlled by many factors, including groundwater level change in different aquifers, compressible layers of different thicknesses, and static and dynamic loads. First, based on the small baseline subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique, we employed 47 ENVISAT ASAR images and 48 RADARSAT-2 images to acquire the ground deformation of the Beijing Plain from June 2003 to November 2015 and then validated the results using leveling benchmark monitoring. Second, we innovatively calculated additional stress to obtain static and dynamic load information. Finally, we evaluated the contribution rate of the influencing factors to land subsidence by using the Spearman’s rank correlation coefficient (SRCC) and extremely randomized trees (ERT) machine learning methods. The SBAS-InSAR outcomes revealed that the maximum deformation rate was 110.7 mm/year from 2003 to 2010 and 144.4 mm/year from 2010 to 2015. The SBAS-InSAR results agreed well with the leveling benchmark monitoring results; the correlation coefficients were 0.97 and 0.96 during the 2003–2010 and 2013–2015 periods, respectively. The contribution rate of the second confined aquifer to the cumulative land subsidence was 49.3% from 2003 to 2010, accounting for the largest proportion; however, its contribution rate decreased to 23.4% from 2010 to 2015. The contribution rate of the third confined aquifer to the cumulative land subsidence increased from 2003 to 2015. Although the contribution of additional stress engendered from static and dynamic loads to the cumulative land subsidence was slight, it had a significant effect on the uneven land subsidence, with a contribution rate of 33.8% from 2003 to 2010 and 23.1% from 2010 to 2015. These findings provide scientific support for mitigating hazards associated with land subsidence.

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Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology

Cited by 67 publications

References 37 publications

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

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

Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China

Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method

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