Time evolution of mining-related residual subsidence monitored over a 24-year period using InSAR in southern Alsace, France

Modeste, Guillaume; Doubre, Cécile; Masson, Frédéric

doi:10.1016/j.jag.2021.102392

Cited by 40 publications

(24 citation statements)

References 23 publications

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“…The authors did not mention. In terms of the procedures of residual surface subsidence investigations, according to time-series measurements from InSAR and levelling technology, Modeste considered that surface displacements during the residual phase were dominated by vertical displacements [31]. The assessed beginning date of the residual phase corresponds to the date when displacements from levelling measurements deduced and InSAR results become consistent.…”

Section: Introductionmentioning

confidence: 99%

Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Ding

Cui

et al. 2022

Energies

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The exploitation of underground coal resources has stepped up local economic and social development significantly. However, it was inevitable that time-dependent surface settlement would occur above the mined-out voids. Subsidence associated with local geo-mining can last from several months to scores of years and can seriously impact infrastructure, city planning, and underground space utilization. This paper addresses the problems in predicting progressive residual surface subsidence. The subsidence process was divided into three phases: a duration period, a residual subsidence period, and a long-term subsidence period. Then, a novel mathematical model calculating surface progressive residual subsidence was proposed based on the logistic time function. After the duration period, the residual subsidence period was extrapolated according to the threshold of the surface sinking rate. The validation for the proposed model was estimated in light of observed in situ data. The results demonstrate that the logistic time function is an ideal time function reflecting surface subsidence features from downward movement, subsidence rate, and sinking acceleration. The surface residual subsidence coefficient, which plays a crucial role in calculating surface settling, varies directly with model parameters and inversely with time. The influence of the amount of in situ data on predicted values is pronounced. Observation time for surface subsidence must extend beyond the active period. Thus back-calculated parameters with in situ measurement data can be reliable. Conversely, the deviation between predictive values and field-based ones is significant. The conclusions in this study can guide the project design of surface subsidence measurement resulting from longwall coal operation. The study affords insights valuable to land reutilization, city planning, and stabilization estimation of foundation above an abandoned workface.

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Section: Introductionmentioning

confidence: 99%

Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Ding

Cui

et al. 2022

Energies

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“…Compared with the traditional method, the D-InSAR approach has the advantages of all-weather, all-time, wide spatial coverage, as well as low labour intensity and cost. Due to the working characteristics of the D-InSAR technology, it has been widely applied to monitor various types of deformations including large-scale urban land deformation information (Qu et al, 2014;Xiong et al, 2021), seismic deformation (Békési et al, 2021;Li et al, 2021), landslide deformation (Liu et al, 2016;Bekaert et al, 2020), coal mining subsidence (Kim et al, 2021;Modeste et al, 2021), volcanic deformation (Wang et al, 2018;Di Traglia et al, 2021) building deformation displacement of significant nature (Bayik et al, 2021;Ruiz-Armenteros et al, 2021) and other fields.…”

Section: Introductionmentioning

confidence: 99%

Decision-making fusion of InSAR technology and offset tracking to study the deformation of large gradients in mining areas-Xuemiaotan mine as an example

Yang

Zhu

et al. 2022

Front. Earth Sci.

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The multi-level disturbance of underground and surface caused by coal mining activities intensifies the deterioration of the ecological environment in the mining area. Among them, the uneven settlement caused by coal mining is the most intuitive manifestation of surface environmental damage. The uneven settlement in the mining area has the characteristics of large settlement magnitude and severe deformation. Therefore, based on 15 Sentinel-1A image data, this paper uses three methods: SBAS InSAR, continuous D-InSAR and offset tracking technology to monitor the surface deformation of the mining area. The results show that the continuous D-InSAR technology SBAS-InSAR technology is applied to the small deformation in the edge area of the subsidence basin. The mining area with low gradient subsidence of SBAS-InSAR can obtain better performance than continuous D-InSAR technology. The offset tracking technique is used to monitor the large gradient deformation in the center of the subsidence basin. Therefore, this paper proposes to expand the quantitative analysis through the spatial coherence threshold and the accuracy and successful image elements of the interference fringe displacement. Combine the advantages of the three methods and overcome the shortcomings of each method, fuse the deformation information of the three methods, and obtain the deformation law of the whole surface subsidence. The results show that the mean absolute error (MAE1-1) of continuity D-InSAR is 0.92 m, the mean absolute error (MAE2-1) of SBAS-InSAR is 0.94 m, and the mean absolute error (MAE3-1) of Offset-tracking is 0.25 m. The results of this fusion method are in good agreement with the measured data, and the mean absolute error (MAE4-1) of vertical displacement is 7 cm. Therefore, the fusion method has advantages over individual methods and provides a new idea in monitoring the large gradient deformation of coal mining subsidence in mining areas.

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“…To create valuable landscapes, restore ecosystems, and minimize the negative environmental impacts of mining, mine reclamation is necessary to carry out during the mining process and after the abandonment of the mine [6][7][8]. The traditional targets of mine reclamation are (1) backfilling and soil reconstruction to create suitable landforms using machines and geological materials and (2) establishing vegetation on created landforms to help in slope stabilization, erosion control, and improvement of soil condition [9].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data

Wang

Bai

et al. 2022

Remote Sensing

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Mining developments in alpine coal mining areas result in slow or rapid ground subsidence, which can lead to melting and collapse of permafrost. This paper integrated unmanned aerial vehicle (UAV) images and satellite-based SAR interferometry images to monitor intensive surface mining subsidence during reclamation. Digital Surface Model (DSM) acquired from UAV images was first used to evaluate the changes of the reclamation scheme on the microtopography carried out by slope and the Digital Elevation Model (DEM) of difference (DoD). The monitoring results showed that the slope had been reduced from over 30 degrees to under 15 degrees after the terrain had been reshaped. The DoD map revealed the distribution of main extraction areas and landfill areas. To further monitor the surface subsidence after local terrain adjustment, the Permanent Scatterer Interferometry (PS-InSAR) method was used to reveal the surface subsidence characteristics of the mine site before and after reclamation. The maximum cumulative subsidence ranged from −772.3 to 1183 mm based on 21 Sentinel-1A images in three years. Within a year of terrain reshaping, uplift and subsidence still occurred at hills and pit side slopes, following the nearly equal subsidence rate. The experimental results showed that the slope reshaping and vegetation recovery had a limited impact on the reduction of the ground subsidence in a short period. Therefore, on this basis, a combination of UAV and PS-InSAR methods can be used to continue monitoring time series subsidence in alpine mines.

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Time evolution of mining-related residual subsidence monitored over a 24-year period using InSAR in southern Alsace, France

Cited by 40 publications

References 23 publications

Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Calculation Model for Progressive Residual Surface Subsidence above Mined-Out Areas Based on Logistic Time Function

Decision-making fusion of InSAR technology and offset tracking to study the deformation of large gradients in mining areas-Xuemiaotan mine as an example

Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data

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