An Extension of the InSAR-Based Probability Integral Method and Its Application for Predicting 3-D Mining-Induced Displacements Under Different Extraction Conditions

Yang, Zefa; Zhu, Jian Jun; Preuße, Axel; Yang, Hui; Wang, Yun Jia; Papst, Markus

doi:10.1109/tgrs.2017.2682192

Cited by 43 publications

(19 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, a new approach (referred to as InSAR-PIM) for estimating 3-D mining-induced displacement has been presented in [2], in which the relationship between the model parameters of the probability integral method (PIM) and the InSAR-derived deformation along the LOS direction was first established. Next, a genetic algorithm was used to estimate these parameters, by which 3-D displacement can be predicted using the PIM [2], [18], [21]. However, this method has also simplified the PIM to a certain extent, i.e., not all parameters of the PIM are involved.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zhu

Wang

et al. 2020

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

View full text Add to dashboard Cite

Monitoring ground displacement produced by underground mining is essential to ensure the safety of infrastructure over mining areas. Differential synthetic aperture radar (DInSAR) can only obtain the 1-D [i.e., along the line-of-sight (LOS) direction] displacement component. In this study, we present an improved algorithm for retrieving and predicting 3-D displacement fields induced by underground mining based on the LOS displacement derived from DInSAR and the probability integral method (PIM). Whole parameters included in the standard PIM model are involved in the improved algorithm. In addition, the interaction between multiple working panels is considered and incorporated into the model. Next, a stochastic optimization technique hybridizing the cultural algorithm and random particle swarm optimization has been designed to retrieve model parameters, which can be used to retrieve and predict the 3-D displacement field. Simulated experiments show that the root mean square errors (RMSEs) are 10, 12, and 17 mm in the vertical, east-west, and north-south directions, respectively, by comparing the simulated and retrieved 3-D displacement. Furthermore, the capability of the proposed method is investigated and validated in the Xuehu mining area of China using three ALOS PALSAR acquisitions. Our results agree well with leveling measurements in the vertical direction with an RMSE of 38 mm. Although the retrieved horizontal displacement cannot be validated due to a lack of field surveys, these displacement fields coincide spatially with the evolution of mining excavation. Index Terms-Cultural algorithm and random particle swarm optimization (CA-rPSO), mining displacement, probability integral method (PIM), three-dimensional (3-D) displacement.

show abstract

Section: Introductionmentioning

confidence: 99%

“…In fact, each parameter in the PIM is different due to the inclination of coal seams, which is also affected by other working or abandoned panels, and has a specific contribution to ground displacement. In addition, only one working panel was considered in [2], [18], and [21].…”

Section: Introductionmentioning

confidence: 99%

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

Zhu

Wang

et al. 2020

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

View full text Add to dashboard Cite

show abstract

“…Later, Liu and Liao [6] further developed this theory into a probability integral method to predict mining subsidence. By combining the probability integral method and differential interferometric synthetic-aperture radar (SAR) technique, Fan et al [7] established a model for extracting the large deformation mining subsidence; Diao et al [8] proposed a new monitoring method that could retrieve highly accurate 3D displacement of mining subsidence; and Yang et al [9] obtained an approach for cost-effective and accurate prediction of 3D mining-induced displacement under different extraction conditions. Using the probability integral method, Li et al [10] calculated and simulated the influence of pillar mining subsidence on shaft safety.…”

Section: Introductionmentioning

confidence: 99%

Deflection Mechanism and Safety Analysis of Coal Mine Shaft in Deep Soil Strata

Han

Zou

et al. 2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The main shaft and auxiliary shaft in the Guotun Coal Mine underwent large deflections, with deflection values of 359 mm and 322 mm, respectively. These two deflections represent the first occurrence of such large vertical shaft deviations in the soil strata in China. The deflection problem has seriously affected the hoisting safety and lining safety and has become a serious impediment to the sustainable production of mines. Therefore, the deflection mechanism must be determined. For this purpose, based on mining subsidence theory, the spatial probability integral method and a more accurate time function were used to establish a model, called 3D dynamic prediction model, for predicting the shaft movement. The formulas for calculating the lining stress caused by coal mining were based on established models. With measured shaft deflection data, the prediction parameters for deep soil strata were calculated on the basis of an inversion analysis. A comparative analysis of measured and calculated deflection values revealed that the reason for shaft deflection in Guotun Coal Mine is the insufficient size of the protection coal pillar (PCP); namely, the design parameters of the PCP in current codes are not applicable to the deep soil strata. As a result, under the asymmetric mining conditions, mining causes the shaft to deflect without damage and under the symmetric mining conditions, mining causes the lining to fracture. The results have an extremely important significance for the prevention and control of shaft deflection, for the rational design of PCP, and for the sustainability of mine production.

show abstract

“…The capability of interferometric synthetic aperture radar (InSAR) techniques to monitor the surface deformation associated with the Earth and/or anthropic activities has been presented in many studies (e.g., [1][2][3][4][5][6][7][8][9][10][11]). However, due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, InSAR observations are one-dimensional (1-D) along the radar's line-of-sight (LOS) direction, rather than the actual 3-D displacements in the vertical, east, and north directions.…”

Section: Introductionmentioning

confidence: 99%

“…This is quite common for SAR data with a medium spatial resolution (i.e., from several meters to dozens of meters), such as the images acquired with the Phased Array type L-band Synthetic Aperture Radar (PALSAR)-1 and Advanced Synthetic Aperture Radar (ASAR) sensors, and the StripMap or ScanSAR modes of the TerraSAR-X, COSMO-SkyMed, and PALSAR-2 sensors. The dominant error source in the azimuth direction is mainly due to the following; mining-induced surface deformation is dominated by vertical subsidence, and the components in the east and north directions are generally much smaller than the vertical component, particularly in the central portion of a mining-induced deformation basin [32,44]. Given that the LOS deformation is also dominated by vertical subsidence [26], mining-related LOS deformation is usually much larger than the azimuth deformation.…”

Section: Introductionmentioning

confidence: 99%

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

et al. 2017

Self Cite

View full text Add to dashboard Cite

Due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, only ground deformation along the radar's line-of-sight (LOS) and azimuth directions can be potentially obtained from a single amplitude pair (SAP) of SAR using offset tracking (OT) procedures. This significantly hinders the accurate assessment of mining-related hazards and better understanding of the mining subsidence mechanism. In this paper, we propose a method for completely retrieving three-dimensional (3-D) mining-induced displacements with OT-derived observations of LOS deformation from a single amplitude pair of SAR (referred to as OT-SAP hereinafter). The OT-SAP method first constructs two extra constraints at each pixel of the mining area based on the proportional relationship between the horizontal motion of the mining area and the gradients of the vertical subsidence in the east and north directions. The full 3-D mining-induced displacements are then solved by coupling the two constructed extra constraints with the OT-derived observations of the LOS deformation. The Daliuta coal mining area in China was selected to test the proposed OT-SAP method. The results show that the maximum 3-D displacements of this mining area were about 4.3 m, 1.1 m, and 1.3 m in the vertical, east, and north directions, respectively, from 21 November 2012 to 6 February 2013. The accuracies of the retrieved displacements in the vertical and horizontal directions are about 0.201 m and 0.214 m, respectively, which are much smaller than the mining-induced displacements in this mining area and can satisfy the basic requirements of mining deformation monitoring.

show abstract

An Extension of the InSAR-Based Probability Integral Method and Its Application for Predicting 3-D Mining-Induced Displacements Under Different Extraction Conditions

Cited by 43 publications

References 26 publications

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

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

Deflection Mechanism and Safety Analysis of Coal Mine Shaft in Deep Soil Strata

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

Contact Info

Product

Resources

About