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Improving Boundary Constraint of probability integral method in SBAS-InSAR for Deformation Monitoring in Mining Areas

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REMOTE SENSING 2021年第8期13卷 1497-1497页

作者： Shi, Mengyao Yang, Honglei Wang, Baocun Peng, Junhuan Gao, Zhouzheng Zhang, Bin China Univ Geosci Sch Land Sci & Technol Beijing 100083 Peoples R China Shanxi Key Lab Resources Environm & Disaster Moni Jinzhong 030600 Peoples R China Inst Surveying Mapping & Geoinformat Henan Prov B Zhengzhou 450006 Peoples R China China Univ Geosci Sch Engn & Technol Beijing 100083 Peoples R China

Coal-mining subsidence causes ground fissures and destroys surface structures, which may lead to severe casualties and economic losses. Time series interferometric synthetic aperture radar (TS-InSAR) plays an important role in surface deformation detection and monitoring without the restriction of weather and sunlight conditions. In addition, the probability integral method (PIM) is a surface movement model that is widely used in the field of mining subsidence. In recent years, the integration of TS-InSAR and the PIM has been extensively studied. In this paper, we propose a new method to estimate mining subsidence with the PIM based on TS-InSAR results. This study focuses on the improvement of a boundary constraint and dynamic parameter estimation in the PIM through the inversion of the line-of-sight (LOS) time series deformation derived by TS-InSAR. In addition, 45 Sentinel-1A images from 17 June 2015 to 27 December 2017 of a coal mine in Jiaozuo are utilized to acquire the surface displacement. We apply a time series deformation analysis using small baseline subsets (SBAS) and place the results into an improved PIM to estimate the mining parameters. The simulated mining subsidence is highly consistent with the leveling data, exhibiting an RMSE of 0.0025 m. Compared with the conventional method, the proposed method is more accurate in discovering displacement in mining areas. In the final section of this paper, some sources of error that affect the experiment are discussed.

关键词： SBAS-InSAR probability integral method mining boundary constraint

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Intelligent prediction system for surface movement and deformation in the subsequent filling mining of inclined, thick, and large ore

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SCIENTIFIC REPORTS 2025年第1期15卷 1-16页

作者： Huang, Xinxin Wang, Chen Li, Xuyu Ouyang, Weichao Zuo, Yujun Jiang, Shan Guizhou Univ Sch Min Guiyang 550025 Guizhou Peoples R China Gen Technol Grp Engn Design Co Ltd Jinan 250031 Shandong Peoples R China Guizhou Phosphate Chem Grp Guiyang 550081 Guizhou Peoples R China

Guizhou is a mountainous region that faces numerous engineering challenges during the mining of thick inclined ore bodies, including complex geological conditions, limited monitoring systems, and insufficient on-site monitoring. Developing intelligent methods for predicting surface movement and deformation in mining areas under such geological conditions is critical for preventing ecological damage, safeguarding lives and property, and ensuring safe mining operations. This study focuses on the subsequent filling mining of inclined thick ore bodies as the engineering context. Using the probability integral method, an integrated system was developed in MATLAB App Designer to calculate and predict the surface movement and deformation during subsequent filling mining. Industrial validation confirmed the feasibility of employing an artificial neural network to predict surface movement and deformation. The predicted results indicated maximum settlement values of -38.37 and - 39.73 mm in the strike and inclined main sections, respectively, with a prediction accuracy of 90.56%. The predicted settlement values were generally lower than the measured values. Therefore, correction coefficients of 1.26 and 1.40 are recommended for the strike and inclined main sections to enhance prediction accuracy.

关键词： Subsequent filling mining Surface movement and deformation probability integral method MATLAB PCA-GA-BP neural network

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A spatio-temporal predictive model for surface subsidence induced by mining in deep loose and thin bedrock strata

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MECHANICS OF TIME-DEPENDENT MATERIALS 2024年第4期28卷 2395-2409页

作者： Qin, Zhe Han, Xu Han, Jihuan Shandong Univ Sci & Technol Coll Civil Engn & Architecture 579 Qianwangang Rd Qingdao 266590 Shandong Peoples R China Shandong Univ Sci & Technol Shandong Key Lab Civil Engn Disaster Prevent & Mit Qingdao 266590 Peoples R China

Aiming at the shortcomings and limitations of existing prediction methods and time function models in predicting the surface subsidence induced by coal mining in deep loose and thin bedrock strata, the deformation and mechanics characteristics of mining rock are analyzed comprehensively, and a near rectangular deflection function is established based on determining the spatial position of the primary key layer. Combining with the principle of probability integral method of discontinuous random medium, a spatio-temporal predictive model(SPM) is obtained to depict the development of surface subsidence throughout coal mining process, and its reliability is verified. The results demonstrate that the model can accurately invert the whole process of surface subsidence with coal mining, providing reliable outcomes. The model considers various factors relevant to coal mining, contributing to its theoretical significance. Additionally, the utilization of visual programming operations enhances the practicality and convenience of the model in engineering applications. The results are of great significance for the prevention and control of stratal subsidence disasters resulting from mining activities.

关键词： Spatio-temporal predictive model Surface subsidence Primary key layer probability integral method Deep loose and thin bedrock strata

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Surface subsidence prediction method of backfill-strip mining in coal mining

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BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 2019年第8期78卷 6235-6248页

作者： Zhu, Xiaojun Guo, Guangli Liu, Hui Yang, Xiaoyu Anhui Univ Collaborat Innovat Ctr Mines Environm Remediat & Hefei 230601 Anhui Peoples R China Anhui Univ Sch Resources & Environm Engn Hefei 230601 Anhui Peoples R China China Univ Min & Technol Sch Environm Sci & Spatial Informat Xuzhou 221008 Jiangsu Peoples R China Hefei Coll Finance & Econ Dept Engn Management Hefei 230601 Anhui Peoples R China

Intensive and massive coal mining causes a series of geological hazards and environmental problems, especially surface subsidence. In recent years, backfill-strip mining has been applied to control mining subsidence in order to realize sustainable development of the mining environment. To accurately predict the surface subsidence of backfill-strip mining, a prediction method of subsidence superposition of backfill-strip mining is proposed on the basis of the traditional probability integral method prediction model. In analyzing the distribution of the actual subsidence space, the surface subsidence problem of backfill-strip mining can be regarded as the superposition of surface subsidence caused by backfill mining and strip mining. Then, the appropriate prediction parameters will be chosen, and the surface subsidence caused by the backfill mining and strip mining will be predicted separately. The surface subsidence values of the backfill-strip mining are equal to the superposition subsidence values predicted by the backfill mining and strip mining prediction method at the same surface location. A similar material model and a numerical simulation model have been built to verify the feasibility and accuracy of the superposition prediction method. The comparison results of the surface subsidence values show that the superposition surface subsidence prediction method is reasonable. The average relative error of this superposition prediction method is less than 6.7%, and its accuracy is 3.9%similar to 11.4% higher than that of the conventional prediction method. The superposition prediction method can satisfy the precision requirement of engineering applications. This study provides a scientific technical reference for safe mining engineering design and surface disaster protection for backfill-strip mining.

关键词： Backfill-strip mining Coal underground mining Surface subsidence Prediction method probability integral method

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Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area

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IEEE ACCESS 2021年 9卷 23996-24010页

作者： Chi, Shenshen Wang, Lei Yu, Xuexiang Fang, Xinjian Jiang, Chuang Anhui Univ Sci & Technol State Key Lab Min Response & Disaster Prevent & C Huainan 232001 Peoples R China Anhui Univ Sci & Technol Sch Earth & Environm Huainan 232001 Peoples R China Anhui Univ Sci & Technol Sch Geomat Huainan 232001 Peoples R China

Accurately forecasting the scope of coal mining subsidence area is of great significance to the protection of surface structures. Due to the peculiarities of the unconsolidated layers rock formation, the surface movement of the thick unconsolidated layers mining area converges slowly at the boundary of the basin, and the boundary of the subsidence basin is larger than under conventional conditions. It is found that the existing models have a poor prediction effect at the boundary, and the predicted subsidence basin range is smaller than the actual basin range. To solve this problem, a new surface deformation prediction model based on Boltzmann function (IB) is proposed in this paper. Aiming at the problem that the model function is highly nonlinear and difficult to obtain parameters, the multi-population genetic algorithm (MPGA) is introduced into the parameter solution of the prediction model, and the parameter calculation model based on multi-population genetic algorithm (MPGAIB) is constructed. The simulation experiment and engineering example analysis show that both the overall fitting effect and the fitting effect at the boundary of IB model are closer to the actual situation, The MPGAIB model has good ability to anti-random error and gross error, and the result is stable.

关键词： Predictive models Licenses Strain Surface reconstruction Numerical models Iron Genetic algorithms Mining subsidence parameter calculation probability integral method prediction model thick unconsolidated layers

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Hazard development mechanism and deformation estimation of water solution mining area

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Journal of Central South University of Technology 2006年第6期13卷 738-742页

作者：贺跃光李志伟杨小礼 School of Highway Engineering Changsha University of Science and Technology School of Info-Physics and Geomatics Engineering Central South University School of Civil and Architectural Engineering Central South University

Based on the hazard development mechanism, a water solution area is closely related to the supporting effect of pressure-bearing water, the relaxing and collapsing effect of orebody interlayer, the collapsing effect of thawless material in orebody, filling effect caused by cubical expansibility of hydrate crystallization and uplifting effect of hard rock layer over cranny belt. The movement and deformation of ground surface caused by underground water solution mining is believed to be much weaker than that caused by well lane mining, which can be predicted by the stochastic medium theory method. On the basis of analysis on the engineering practice of water solution mining, its corresponding parameters can be obtained from the in-site data of the belt water and sand filling mining in engineering analog approach.

关键词： water solution mining hazard, ground surface deformation and movement probability integral method

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A Prediction method for Surface Subsidence at Deep Mining Areas with Thin Bedrock and Thick Soil Layer Considering Consolidation Behavior

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NATURAL RESOURCES RESEARCH 2024年第6期33卷 2661-2684页

作者： Wang, Jiachen Wu, Shanxi Wang, Zhaohui Zhang, Shenyi Cheng, Boyuan Xie, Huashun China Univ Min & Technol Beijing Sch Energy & Min Engn Beijing 100083 Peoples R China Coal Ind Engn Res Ctr Top Coal Beijing 100083 Peoples R China Minist Educ Engn Res Ctr Green & Intelligent Min Thick Coal Se Beijing 100083 Peoples R China

Among the various hazards induced by underground coal mining, surface subsidence tends to cause structural damage to the ground. Therefore, accurate prediction and evaluation of surface subsidence are significant for ensuring mining security and sustainable development. Traditional methods like the probability integral method provide effective predictions. However, these methods do not take into account the consolidation behavior of thick soil layers. In this study, based on the principle of superposition, an improved probability integral method that includes surface subsidence caused by rock layer movement and the consolidation behavior of thick soil layers is developed. The proposed method was applied in the Zhaogu No. 2 coal mine, located in the Jiaozuo mining area. Utilizing unmanned surface vehicle measurement technology, it was found that the maximum subsidence values of the two survey lines were 5.441 m and 4.842 m, with maximum subsidence rate of 62.9 mm/day at observation points. Experimental tests have shown that surface subsidence in deep mining areas with thin bedrock and thick soil layers exhibited a large subsidence coefficient and a wide range of subsidence, closely related to the consolidation behavior of thick soil layers. After verification, compared to the probability integral method, the improved probability integral method incorporating soil consolidation showed a 14.7% reduction in average error and a 22% reduction in maximum error. Therefore, the improved probability integral method proposed can be a very promising tool for forecasting and evaluating potential geohazards in coal mining areas.

关键词： Mining subsidence Thick soil layer probability integral method Consolidation of behavior soil layer Subsidence prediction

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GIS-Based Subsidence Prediction of Yuzhou Goaf Area at the Middle Route of the South-to-North Water Diversion Project

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GEOTECHNICAL AND GEOLOGICAL ENGINEERING 2019年第3期37卷 1411-1420页

作者： Ding, Renwei Liu, Handong Dong, Jinyu North China Univ Water Resources & Elect Power Zhengzhou 450046 Henan Peoples R China

The phase I main canal of the Middle Route of the South-to-North Water Diversion Project crosses the coal mining area in Yuzhou city, and thus it is very important to predict the surface subsidence of the goaf. The GIS-based prediction system for Yuzhou goaf area subsidence has been developed by data collection, and the subsidence, horizontal movement, tilt and curvature are predicted for five mined out areas. The results show that the surface movement and deformation in the strike and dip directions are not more than the stability indexes specified in the coal mining regulation under buildings, water-bodies and railways, indicating that the residual deformation will not cause damage against the canal. The forecasting and monitoring values of Guo coal mine goaf and original Xinfeng goaf, located in Liang Town, Yuzhou City, are relatively large, thus the canal in this region may be affected and the safety monitoring should focus on this region.

关键词： Middle Route of South-to-North Water Diversion Project Goaf Subsidence Prediction GIS probability integral method

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Parameter design and effectiveness evaluation of wide strip mining of extra thick coal seams under dense buildings

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SCIENTIFIC REPORTS 2024年第1期14卷 1-14页

作者： Lei, Wulin Yu, Lan Bai, Shangyu Chen, Yanfeng Zhao, Feng Zheng, Chao Huang, Xu He, Jiangyi Zhou, Hualong Longdong Univ Sch New Energy Qingyang 745000 Gansu Peoples R China Xian Univ Sci & Technol Coll Energy Engn Xian 710054 Peoples R China Huating Coal Ind Grp Co Ltd Chenjiagou Coal Mine Pingliang 744100 Peoples R China Huating Coal Ind Grp Co Ltd Daliu Coal Mine Chongxin 744000 Peoples R China

In order to safeguard the surface structures from mining damage while optimizing the liberation of coal resources under the dense surface buildings of the Cedi River coal mine. Considering that the analysis of the structure and type of surface buildings and the geological mining conditions of the mine, a wide strip mining design with a retention width of 70 m and a mining width of 50 m was finally determined by using the pressure arch theory and Wilson's theory, combined with the actual layout of working faces 51,002, 51,004 and 51,006 at the *** strip mining design is verified by probability integral method and FLAC3D numerical simulation calculation respectively, The findings indicate that the highest value of earth surface subsidence created by the mining of the wide strip is 210 mm, the surface horizontal deformation value is 1.0 to - 1.4 mm/m, the damage to surface buildings is less than Level I, which satisfying the prerequisites of the surface building protection level, and can realize the continuous advancement of mine 51,002, 51,004 and 51,006 working faces, The coal pillars of the retained strip have sufficient support strength and long-term consistency, and the movement and deformation of the overburden after mining will not cause undulating subsidence of the surface, which effectively solve the mine's technical difficulties in safely coal mining under surface buildings.

关键词： Three unders in coal mining Wide strip mining probability integral method Numerical simulation Surface deformation prediction

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Research on Surface Movement Parameters of Shallow Buried Coal Seam with Central Force Optimization 12

Research on Surface Movement Parameters of Shallow Buried Co...

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12th International Conference on Computational Intelligence and Security (CIS)

作者： Li Jinhua Gu Shuancheng Fang Huagiang Hong Xing Xian Univ Sci & Technol Sch Architecture & Civil Engn Xian Peoples R China Chengdu Design & Res Inst Bldg Mat Ind Co Ltd Chengdu Peoples R China

ISBN: (纸本)9781509048403

The probability integral method is one of the widely used methods for mining subsidence prediction. Due to the influence of surface terrain and stratum distribution factors, surface subsidence, tilt, curvature and horizontal movement for the shallow buried coal seam mining in mountainous areas, which are mostly based on the measured data or engineering experiences. In this paper, a prediction model of modified probability integral method was established, and a kind of improved central force optimization was also designed, which was based on the characteristics of surface movement in mountainous areas. Moreover, the main parameters of the model were fitted. The numerical results show that the algorithm is effective. Calculation parameter error is small, which conforms to reality. And it also has high application value.

关键词： shallow buried coal seam central force optimization surface movement parameters probability integral method

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