Monitoring spatiotemporal evolution of Kaiyang landslides induced by phosphate mining using distributed scatterers InSAR technique

Chen, Hengyi; Zhao, Chaoying; Li, Bin; Gao, Yang; Chen, Liquan; Liu, Donglie

doi:10.1007/s10346-022-01986-5

Cited by 15 publications

(9 citation statements)

References 42 publications

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“…This deformation conforms to the general performance of slope deformation caused by mining activities (Zheng et al, 2015). Similar deformation characteristic also occurred in Jianshanying landslide (Chen et al, 2021), Zongling landslide (Chen et al, 2022a) and Kaiyang landslide (Chen et al, 2022b), which were all mining related. The reasons for the deformation above are as follows:…”

Section: The Driving Factors Of Karst Slope Instabilitysupporting

confidence: 81%

“…The lower layer P 3 l is the coal-bearing strata, composed Frontiers in Earth Science frontiersin.org of soft argillaceous siltstone, which forms an upper-hard-and-lowersoft stratigraphic structure. With frequent mining activity under the slope, mining goat is formed at the lower part of the slope, and the soft rock cannot support the upper slope, resulting in the failure of stress balance, then the slope will become unstable (Chen et al, 2022b). Therefore, these unstable slopes are mainly distributed at the junction of T 1 and P 3 in this area.…”

Section: Distribution Characteristics Of Landslides In Shuicheng Dist...mentioning

confidence: 98%

“…The downward deformation mainly occurs above the exposed strata T 1 yn and T 1 f, which is mainly composed of hard limestone and medium hardness siltstone, as the coal seams stored in stratum P 3 l which is mainly composed of soft argillaceous siltstone were mined out, the remaining coal pillar cannot bear the pressure of the roof gradually. Since the strength of the upper strata is stronger than that in the lower layer, repeated mining activities can induce the plastic extrusion from the upper strata, resulting in the tension fracture at the back edge of the slope (Chen et al, 2022b).…”

Section: The Driving Factors Of Karst Slope Instabilitymentioning

confidence: 99%

“…In addition, an improved DS InSAR and MSBAS methods were conducted to derive the two-dimensional deformation time series of the Pingdi landslide, a typical "upper-hard-and-lower-soft" stratum landslide (Chen et al, 2022b). Furthermore, the effects of trigger…”

Section: Introductionmentioning

confidence: 99%

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Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Sun

Zhao

et al. 2023

Front. Earth Sci.

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Shuicheng District is a karst mountain area, located in Guizhou Province, China. Its fragile stratum and frequent underground mining activities makes it prone to landslides. Owning to its wide coverage and frequent revisit, the InSAR technology has advantages in potential landslide identification and deformation monitor. However, affected by dense vegetation and atmospheric delay, it is much difficult to get sufficient effective targets to derive the deformation in this area. Besides, deformation derived from single orbit SAR data can result in the missing identification of some potential landslides and the misinterpreting of the real kinematics process of landslides. In this study, the multi-source SAR data, atmospheric error correction by quadratic tree image segmentation method, and phase-stacking method were selected to derive the surface deformation of this area. Besides, DS-InSAR and MSBAS method were combined to derive the deformation of Pingdi landslide. First, the potential landslides in this area were identified, surface deformation result, optical remote sensing images and geomorphological features were jointly considered. Then, the landslide distribution characteristics was analyzed in terms of slope, elevation and stratum. After that, the deformation along the LOS direction was acquired using the DS-InSAR method. The MSBAS method was used to retrieve the two-dimensional deformation of Pingdi landslide. Finally, the comprehensive analysis of triggering factors and failure process were conducted according to the spatial-temporal deformation characteristics and field investigation. The results indicated that landslides in Shuicheng district were mostly located in the junction of T1 and P3 stratum and mining related. Mining activity was the main cause of the Pingdi landslide deformation, the precipitation was the driving factor of the landslide instability. The research provides an insight into the explore the unstable slope distribution characteristic and the failure process of the landslides.

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Section: The Driving Factors Of Karst Slope Instabilitysupporting

confidence: 81%

Section: Distribution Characteristics Of Landslides In Shuicheng Dist...mentioning

confidence: 98%

Section: The Driving Factors Of Karst Slope Instabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Sun

Zhao

et al. 2023

Front. Earth Sci.

Self Cite

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“…3-D laser scanning technology captures dense, irregular data, requiring larger data storage space and longer data processing times [7]. The main advantage of space-borne interferometric synthetic aperture radar (InSAR) systems is its wide spatial coverage, which is suitable for surface deformation monitoring in large study areas, such as cities, large slopes, and mining areas [8], [9], [10], [11]. However, the limitations of fixed orbit, long revisit time, low data resolution, and insensitivity to deformation in the north-south direction have hindered the wide application of space-borne InSAR systems in site-specific deformation monitoring.…”

Section: Introductionmentioning

confidence: 99%

Identification and Analysis of Deformation Areas in the Construction Stage of Pumped Storage Power Station Using GB-InSAR Technology

Yang

Liu

Fan

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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To meet the needs of the rapid development of new energy sources, China is currently accelerating the construction of pumped storage power stations (PSPS). However, the complex geological environment and large-scale construction can easily cause deformation areas, such as collapse and sliding, on the surface of PSPS. This article adopts ground-based interferometric synthetic aperture radar (GB-InSAR) technology to monitor surface deformation using 206 ground-based radar (GBR) data collected from 2022/07/31 10:24 to 2022/08/06 14:57 with a PSPS in the construction stage in western China. In the selection of permanent scatterers (PSs) for GBR data processing, statistical homogeneous pixels (SHPs) information is considered in this article. Based on the fast SHP selection (FaSHPS) algorithm, we introduce intensity deviations (D I ) to exclude pixels with unstable intensity performance in the temporal dimension and propose the D I + F aSHP S algorithm, which is experimentally proven to have higher SHPs selection accuracy and computational efficiency. By combining with the traditional PSs selection algorithm, the distribution density of monitoring points is effectively improved. In addition, based on the deformation results and on-site survey, this article analyzes and discusses the identified deformation areas in detail from the aspects of natural geography and man-made activities. The results show that the surface is relatively stable overall, except for the effects of man-made activities. This study has demonstrated the remarkable reliability and superiority of the GB-InSAR technology in identifying and analyzing deformation areas in the construction stage of PSPS.

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Dynamic Characteristics and Risk Assessment of the Yiziyan Rock Topples in Jinsha County, Guizhou, China

Zhang,

Yuan,

Bilal

et al. 2024

Rock Mech Rock Eng

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Monitoring spatiotemporal evolution of Kaiyang landslides induced by phosphate mining using distributed scatterers InSAR technique

Cited by 15 publications

References 42 publications

Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Karst landslides detection and monitoring with multiple SAR data and multi-dimensional SBAS technique in Shuicheng, Guizhou, China

Identification and Analysis of Deformation Areas in the Construction Stage of Pumped Storage Power Station Using GB-InSAR Technology

Dynamic Characteristics and Risk Assessment of the Yiziyan Rock Topples in Jinsha County, Guizhou, China

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