Land subsidence caused by the interaction of high-rise buildings in soft soil areas

Cui, Zhen-Dong; Yang, Jiaqiang; Li, Yuan

doi:10.1007/s11069-015-1902-8

Cited by 26 publications

(12 citation statements)

References 9 publications

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“…The cause of the subsidence is normally considered and interpreted as an individual/single factor, but urban subsidence especially in areas surrounded by hills with variety of geological units may be caused by the interaction of two or more factors together. This interaction between causal factors is very clear and reported in many studies [43]. If changes in such casual factors are left unnoticed, then the subsidence can lead to significant disaster in the area.…”

Section: Causal Factors Of Deformationmentioning

confidence: 92%

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Shahzad

Ding

et al. 2020

Remote Sensing

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Land subsidence, as one of the engineering geological problems in the world, is generally caused by compression of unconsolidated strata due to natural or anthropogenic activities. We employed interferometric point target analysis (IPTA) as a multi-temporal interferometric synthetic aperture radar (MT-InSAR) technique on ascending and descending Sentinel-1A the terrain observation with progressive scans SAR (TOPSAR) images acquired between January 2015 and December 2018 to analyze the spatio-temporal distribution and cause of subsidence in Abbottabad City of Pakistan. The line of sight (LOS) average deformation velocities along ascending and descending orbits were decomposed into vertical velocity fields and compared with geological data, ground water pumping schemes, and precipitation data. The decomposed and averaged vertical velocity results showed significant subsidence in most of the urban areas in the city. The most severe subsidence was observed close to old Karakorum highway, where the subsidence rate varied up to −6.5 cm/year. The subsidence bowl profiles along W–E and S–N transects showed a relationship with the locations of some water pumping stations. The monitored LOS time series histories along an ascending orbit showed a close correlation with the rainfall during the investigation period. Comparative analysis of this uneven prominent subsidence with geological and precipitation data reflected that the subsidence in the Abbottabad city was mainly related to anthropogenic activities, overexploitation of water, and consolidation of soil layer. The study represents the first ever evidence of land subsidence and its causes in the region that will support the local government as well as decision and policy makers for better planning to overcome problems of overflowing drains, sewage system, littered roads/streets, and sinking land in the city.

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Section: Causal Factors Of Deformationmentioning

confidence: 92%

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Shahzad

Ding

et al. 2020

Remote Sensing

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“…The building load plays an important factor in land subsidence. The central area of the building group has larger subsidence and the subsidence superimposition effect is obvious [41]. The kernel density method is employed to quantify the component of urbanization related to buildings, called building kernel density (BKD), based on the weight of base areas by the number of floors.…”

Section: Urbanization Metric Quantificationmentioning

confidence: 99%

Spatially Varying Relationships between Land Subsidence and Urbanization: A Case Study in Wuhan, China

et al. 2022

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Land subsidence has become an increasing global concern over the past few decades due to natural and anthropogenic factors. However, although several studies have examined factors affecting land subsidence in recent years, few have focused on the spatial heterogeneity of relationships between land subsidence and urbanization. In this paper, we adopted the small baseline subset-synthetic aperture radar interferometry (SBAS-InSAR) method using Sentinel-1 radar satellite images to map land subsidence from 2015 to 2018 and characterized its spatial pattern in Wuhan. The bivariate Moran’s I index was used to test and visualize the spatial correlations between land subsidence and urbanization. A geographically weighted regression (GWR) model was employed to explore the strengths and directions of impacts of urbanization on land subsidence. Our findings showed that land subsidence was obvious and unevenly distributed in the study area, the annual deformation rate varied from −42.85 mm/year to +29.98 mm/year, and its average value was −1.0 mm/year. A clear spatial pattern for land subsidence in Wuhan was mapped, and several apparent subsidence funnels were primarily located in central urban areas. All urbanization indicators were found to be significantly spatially correlated with land subsidence at different scales. In addition, the GWR model results showed that all urbanization indicators were significantly associated with land subsidence across the whole study area in Wuhan. The results of bivariate Moran’s I and GWR results confirmed that the relationships between land subsidence and urbanization spatially varied in Wuhan at multiple spatial scales. Although scale dependence existed in both the bivariate Moran’s I and GWR models for land subsidence and urbanization indicators, a “best” spatial scale could not be confirmed because the disturbance of factors varied over different sampling scales. The results can advance the understanding of the relationships between land subsidence and urbanization, and they will provide guidance for subsidence control and sustainable urban planning.

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“…Many slope stability analysis methods have been proposed [16][17][18][19][20][21], which are divided into traditional analysis methods and numerical analysis methods [22]. In view of the powerful computing power of computers, the numerical analysis method is widely used [23][24][25][26][27], such as the finite element method and discrete element method. e safety factor is usually used to quantify slope stability.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Multistage Fill Slope Based on Finite Element Model

Yuan

et al. 2021

Advances in Civil Engineering

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Based on the strength reduction method, the laws of slope displacement and the changing positions of the sliding surface during the filling process are studied. The model of multistage fill slope is established by the finite element software PLAXIS. The difference is compared between the slope with no reinforcement and with reinforcement under the same working condition. Sensitivity analysis is carried out from two aspects which are internal factors and external factors. The finite element analysis shows that the settlement of the multistage fill slope with no reinforcement is mainly concentrated on the right side of the slope and gradually decreases with the increase of the filling height. The position of the sliding outlet is located at the joint of the first and the second grade of the slope. The effect of the reinforcement on the sliding surface is ideal. It is obvious that the reinforcement can supply the slope with a better position of the sliding surface, which is beneficial to the stability of the slope. The sensitivity analysis shows that unit weight, ratio of slope, and height of each grade are negatively correlated with the safety factor. At the same time, the platform width, cohesion, and internal friction angle are positively correlated with the safety factor. The internal friction angle has the greatest influence on the stability of the slope. Besides, the platform width and the height of each grade should be controlled at about 4 m. The sensitivity analysis provides a reference for the design of the multistage filling slope.

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Land subsidence caused by the interaction of high-rise buildings in soft soil areas

Cited by 26 publications

References 9 publications

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Spatially Varying Relationships between Land Subsidence and Urbanization: A Case Study in Wuhan, China

Sensitivity of Multistage Fill Slope Based on Finite Element Model

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