Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area

Zhu, Chuanguang; Wang, Zhengshuai; Li, Peixian; Motagh, Mahdi; Zhang, Liya; Jiang, Zongli; Long, Sichun

doi:10.1109/jstars.2020.2978288

Cited by 14 publications

(3 citation statements)

References 31 publications

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“…Baochen Liu and Guohua Liao et al proposed the probability integral method based on the stochastic medium theory [25], which is a probabilistic method to represent the subsidence of the overlying strata caused by the underground mining area. The expression of the surface sinking basin is as follows [26,[41][42][43]:…”

Section: Prediction Theory Of Surface Subsidencementioning

confidence: 99%

Comparative Analysis of Theoretical, Observational, and Modeled Deformation of Ground Subsidence: The Case of the Alhada Pb-Zn Mine

Cai

Wang

et al. 2022

Minerals

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In this study, the probability integral method, Synthetic Aperture Radar Interferometry (InSAR), and the Okada dislocation model were collaboratively used to analyze deformation in the Alhada Pb-Zn mine. The predicted deformation values of the subsidence centers in three subsidence areas were 107 mm, 120 mm, and 83 mm, respectively, as predicted using the probability integral method. The coherent scatterer InSAR technique was used to analyze the time-series deformation of the mining area, and the same subsidence center locations and similar deformation values were observed. The Okada dislocation model was used to invert the optimal parameters of the underground-mining ore body causing the surface subsidence, indicating that the surface subsidence is mainly caused by the mining of ore bodies in the 888 and 848 middle sections. We further simulated ground deformation using the multi-source Okada model. The results showed that the predicted and modeled deformations are highly correlated with the observed deformation. Through the analysis and comparison of the InSAR results, it was concluded that the three subsidence areas do not threaten the stability of the main buildings in the mining area. Using theoretical, observational, and modeling methods, the development and evolution of the subsidence area in mines can be established, which could provide basic data for subsidence control work and guarantee mine production safety.

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Section: Prediction Theory Of Surface Subsidencementioning

confidence: 99%

Comparative Analysis of Theoretical, Observational, and Modeled Deformation of Ground Subsidence: The Case of the Alhada Pb-Zn Mine

Cai

Wang

et al. 2022

Minerals

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“…Recently, the InSAR technique is commonly applied to terrain deformation measurements (e.g., Pawłuszek-Filipiak and Borkowski, 2020;Zhu et al, 2020). InSAR allows for determination of vertical, relatively small deformations, with high accuracy, high time resolution, and even with no data acquisition costs.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Terrain Deformations Caused by Underground Mining Using Uav Data

Jóźków

Walicka

Borkowski

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Underground mining causes terrain surface deformations that lead to various threats to the environment and people, thus a systematic deformation monitoring needs to be performed. This monitoring mainly focuses only on the vertical part of the deformation and remote sensing techniques are currently very often used for this purpose. The development of Unmanned Aerial Systems (UASs) open new possibilities in this context. Most commonly, the mapping UASs are equipped with RGB cameras but also other lightweight sensors are utilized. In this work, the usefulness of UAS photogrammetry and LiDAR data is investigated in the context of detection and measurement of terrain deformations caused by underground mining. The accuracy of the methods was compared in reference to TLS data. The UAS and TLS measurements were performed in 2018 and 2019 but the subsidence was also evaluated in regards to ALS data acquired in 2011. The standard methodology based on Digital Terrain Models of Difference (DoDs) was applied to detect the subsidence. The DoD analysis was restricted to the hard surfaces. The profiles along the roads were also analysed to validate the accuracy of the data. The analysis showed that the UAS photogrammetry enables to obtain less noisy data and more accurate results of the terrain subsidence measurement than the UAS LiDAR sensors. The comparison of the DoDs showed about 33 cm subsidence between 2011 and 2018, which gives a subsidence rate of about 5 cm/year. The observed subsidence between years 2018 and 2019 was equal to about 5 to 15 cm depending on the measurement technique and investigated area.

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“…Chen et al [26] combined pixel offset tracking with the SVR method to obtain three-dimensional high-precision time-series surface deformation using the probability integral method model. Zhu et al [31] proposed an improved algorithm for retrieving all model parameters of the PIM using LOS deformation derived from interferometric pairs with the same viewing geometry. Integration of the mining subsidence model with surface-motion estimation from SAR can provide better observation results, but there are certain restrictions.…”

Section: Introductionmentioning

confidence: 99%

An Improved Multi-Platform Stacked D-InSAR Method for Monitoring the Three-Dimensional Deformation of the Mining Area

Liu

Huang

2021

IEEE Access

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The acquisition of information on fine surface three-dimensional deformation in a goaf is of great significance for the in-depth understanding of the law of mining subsidence and guiding the safe production and ecological restoration of the mining area. In this paper, three platform SAR satellite images are used for stacked D-InSAR processing to obtain the information on surface deformation in three line-ofsight directions. An improved three-dimensional decomposition model is proposed based on the difference between the COSMO-SkyMed and TerraSAR-X satellite heading angles, which are very small. The proposed method is verified by evaluating the three-dimensional deformation of the ground surface during the mining process at the 132610 working face in Fengfeng Mining District, Handan City, Hebei Province. The accuracy of the three-dimensionally decomposed vertical settlement results is verified with the leveling data of the same period. The accuracy of 0.82 cm is achieved, and the maximum subsidence is approximately 16 cm. Combining the high-precision terrain information obtained from the unmanned aerial vehicle photogrammetry data and the deformation law of inclined coal seam mining, the horizontal movement of the 132610 working face is analyzed to prove the feasibility of the proposed method.

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Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area

Cited by 14 publications

References 31 publications

Comparative Analysis of Theoretical, Observational, and Modeled Deformation of Ground Subsidence: The Case of the Alhada Pb-Zn Mine

Comparative Analysis of Theoretical, Observational, and Modeled Deformation of Ground Subsidence: The Case of the Alhada Pb-Zn Mine

Monitoring Terrain Deformations Caused by Underground Mining Using Uav Data

An Improved Multi-Platform Stacked D-InSAR Method for Monitoring the Three-Dimensional Deformation of the Mining Area

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