Ground movements modeling applying adjusted influence function

Malinowska, Agnieszka; Hejmanowski, Ryszard; Dai, Huayang

doi:10.1016/j.ijmst.2020.01.007

Cited by 36 publications

(31 citation statements)

References 12 publications

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“…In a computational experiment, a geometric-integral model based on the Knothe-Budryk theory was used [15,84,85]. The displacement field theoretical values for a rectangular disturbance located at a depth of 800 m with dimensions of 1500 m × 900 m were calculated to reflect local mining and geological conditions.…”

Section: Study Area and Input Datamentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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Horizontal strains related to mining-induced subsidence may endanger infrastructure and surface users’ safety. While directional horizontal strains should be well determined, appropriate solutions for a complete assessment of the terrain surface deformation field are still required. As a result, the presented study examined a new method for calculating horizontal strain tensor based on the decomposition of satellite radar interferometry (InSAR) observations into vertical and azimuth look direction (ALD) displacements. Based on a geometric integral model, we tested our method on experimental data before applying it to an underground copper ore mine in Poland. In the case study, the displacement field was determined using the Multi-Temporal InSAR method on Sentinel-1 data. The model data relative error did not exceed 0.02 at σ = ±0.003. For the case study, land subsidence of up to −167 mm and ALD displacements ranging from −110 mm to +62 mm was obtained, whereas the extreme values of horizontal strains ranged from −0.52 mm/m to +0.36 mm/m at σ = ±0.050 mm/m. Our results demonstrate the high accuracy of the method in determining the horizontal strain tensor. As a result, the approach can broaden the assessment of the environmental impact of land subsidence worldwide.

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Section: Study Area and Input Datamentioning

confidence: 99%

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

et al. 2021

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“…Repeating the process described above produces ground subsidence predictions for each extraction element within the calculation area; the sum of each of the extraction element-induced ground subsidences is the final subsidence prediction induced by the extraction of the mining area. Note that, although the summation method is comparatively simple in terms of the subsidence calculating process and the algorithm implemented [19], the data processing results show that the calculation accuracy of the summation method is inferior to that of the Monte Carlo integration method if the number of divided triangular extraction elements is equal. In addition, in order to Note that the Monte Carlo integration method-based ratio estimation of n E to n A is guaranteed to converge with the in-situ ratio of V E to V A when the number of rolling points increases to infinity [35].…”

Section: Extraction Element-induced Subsidence Prediction Based On Thmentioning

confidence: 99%

“…The flowchart of the Monte Carlo method-based subsidence prediction for a given extraction element is shown in Figure 8, and the corresponding algorithm can be described as follows: Repeating the process described above produces ground subsidence predictions for each extraction element within the calculation area; the sum of each of the extraction element-induced ground subsidences is the final subsidence prediction induced by the extraction of the mining area. Note that, although the summation method is comparatively simple in terms of the subsidence calculating process and the algorithm implemented [19], the data processing results show that the calculation accuracy of the summation method is inferior to that of the Monte Carlo integration method if the number of divided triangular extraction elements is equal. In addition, in order to Figure 8.…”

Section: Extraction Element-induced Subsidence Prediction Based On Thmentioning

confidence: 99%

“…Note that, although the summation method is comparatively simple in terms of the subsidence calculating process and the algorithm implemented [19], the data processing results show that the calculation accuracy of the summation method is inferior to that of the Monte Carlo integration method if the number of divided triangular extraction elements is equal. In addition, in order to reach the same calculation accuracy as the Monte Carlo method, the summation method needs more intensive triangular division, which is time-consuming.…”

Section: Extraction Element-induced Subsidence Prediction Based On Thmentioning

confidence: 99%

“…Influence function methods (e.g., Konthe theory, Sann's method, Beyer's method or Litwiniszyn's method) fall somewhere between empirical methods and theoretical simulating methods [14][15][16][17]. The methods typically divide the extraction area into a series of infinitesimal areas (or elementary cubes) [18][19][20]. Based on theoretical investigation, the methods could develop influence functions to describe the influence of the extraction of infinitesimal areas.…”

Section: Introductionmentioning

confidence: 99%

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Extraction of Irregularly Shaped Coal Mining Area Induced Ground Subsidence Prediction Based on Probability Integral Method

Tan

Song

et al. 2020

Applied Sciences

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Underground coal mining-induced ground subsidence (or major ground vertical settlement) is a major concern to the mining industry, government and people affected. Based on the probability integral method, this paper presents a new ground subsidence prediction method for predicting irregularly shaped coal mining area extraction-induced ground subsidence. Firstly, the Delaunay triangulation method is used to divide the irregularly shaped mining area into a series of triangular extraction elements. Then, the extraction elements within the calculation area are selected. Finally, the Monte Carlo method is used to calculate extraction element-induced ground subsidence. The proposed method was tested by two experimental data sets: the simulation data set and direct leveling-based subsidence observations. The simulation results show that the prediction error of the proposed method is proportional to mesh size and inversely proportional to the amount of generated random points within the auxiliary domain. In addition, when the mesh size is smaller than 0.5 times the minimum deviation of the inflection point of the mining area, and the amount of random points within an auxiliary domain is greater than 800 times the area of the extraction element, the difference between the proposed method-based subsidence predictions and the traditional probability integral method-based subsidence predictions is marginal. The measurement results show that the root-mean-square error of the proposed method-based subsidence predictions is smaller than 3 cm, the average of absolute deviations of the proposed method-based subsidence predictions is 2.49 cm, and the maximum absolute deviation is 4.05 cm, which is equal to 0.75% of the maximum direct leveling-based subsidence observation.

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Integration of unmanned aerial vehicle (UAV)-based photogrammetry and InSAR for mining subsidence and parameters inversion: a case study of the Wangjiata Mine, China

Zhou

Wang³

et al. 2022

Bull Eng Geol Environ

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Ground movements modeling applying adjusted influence function

Cited by 36 publications

References 12 publications

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR

Extraction of Irregularly Shaped Coal Mining Area Induced Ground Subsidence Prediction Based on Probability Integral Method

Integration of unmanned aerial vehicle (UAV)-based photogrammetry and InSAR for mining subsidence and parameters inversion: a case study of the Wangjiata Mine, China

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