检索结果-内蒙古大学图书馆

A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method

引用

SCIENTIFIC REPORTS 2025年第1期15卷 1-13页

作者： Tao, Qiuxiang Liu, Ruixiang Li, Xuepeng Gao, Tengfei Chen, Yang Xiao, Yixin He, Huzhen Wei, Yunguang Shandong Univ Sci & Technol Coll Geodesy & Geomat 579 Qianwangang Rd Qingdao 266590 Peoples R China Shandong Univ Sci & Technol Demonstrat Ctr Expt Surveying & Mapping Educ 579 Qianwangang Rd Qingdao 266590 Peoples R China Shandong GEO Geosurveying & Mapping Inst 11101 East Erhuan Rd Jinan 250003 Peoples R China

In the process of mineral resource extraction, monitoring surface deformation is crucial for ensuring the safety of engineering and ground infrastructure. Monitoring complete three-dimensional surface deformation is particularly significant. Traditional synthetic aperture radar (InSAR) technology provides deformation components only along the line of sight (LOS) and often lacks sufficient effective data in vegetation-covered mining areas and mining subsidence centers. To address this, this study proposes a method (SBAS-PIM) that combines SBAS-InSAR with the probabilistic integral method (PIM). This method leverages high-coherence points in mining areas and GNSS data from vegetation-covered regions to invert the parameters required by PIM, thus obtaining three-dimensional surface deformation results. The proposed method allows for the acquisition of three-dimensional deformation data with fewer InSAR points and GNSS data, significantly reducing labor costs and addressing the gap in InSAR monitoring of three-dimensional surface deformation in densely vegetated areas. Additionally, it accounts for the mutual influence of multiple adjacent working faces. Finally, through the application to a mining area in Heze, China, the maximum displacements in the vertical, east-west, and north-south directions were obtained as -2011, -418, and - 281 mm, respectively. The correlation coefficients between the vertical and east-west directions and GNSS data were both greater than or equal to 0.9, indicating that this method can effectively monitor the three-dimensional surface deformation of the mining area.

关键词： 3D displacement SBAS-InSAR probability integral method Vegetation-covered mining areas Adjacent multiple working faces

来源：评论

学校读者我要写书评

暂无评论

Coordinated mining technology based on GIS reservoir area model and probability integral method under reservoirs

引用

Scientific reports 2025年第1期15卷 15749页

作者： Feng Zhang Yang Li Shoubin Hu Jiuxin Zhang Zhengyi Ti Haidong Wang Department of Mining Engineering Shanxi Institute of Technology Yangquan 045000 China. College of Mining Engineering Liao Ning Technical University Fuxin Liaoning China. North China Institute of Science and Technology Beijing China. ***@***. No. 467 Xueyuan Road Yanjiao Sanhe City 065201 Hebei Province China. ***@***. North China Institute of Science and Technology Beijing China.

In order to solve the tough problem of safety and reasonable exploration of coal resources under the reservoir, through developing GIS reservoir area model and the surface mining subsidence visualization system by probability integral method, it is expected to achieve the precise calculation of the working face underwater mining area, it is also proposed that optimal criterion of coordinating mining for the selection of minimum reservoir water covering area of the working face under the reservoir, the safety and reasonable working order of working face is determined. Taking the 11 working face mining area of Northern First and Southern Second mining areas under Daping coal reservoir, it can be figured out by the movement and distribution of performing dynamic simulation reservoir water: The optimal working face sequence is S2S9→S2S8→S2N7→S2N6→S2N5→S2N3→N1S5→S2N4→N1S3→S2N2→N1S4, the total area of underwater mining is 1028236.18 [Formula: see text], which is 224762.29 [Formula: see text] less than current mining plan. The research results showed that through the movement and regulations of distribution of dynamic simulation of reservoir water, making the reasonable connection of working face under the reservoir achieved, reducing the danger degree of the recovery process of underwater working face obviously, lowering the cost of mine control water, which can provide theoretical value and guiding significance for the safe recovery of working face under the reservoir in other mining areas.

关键词： Coordinating mining GIS reservoir area model Mining area underwater Mining under reservoirs probability integral method Subsidence prediction

来源：评论

学校读者我要写书评

暂无评论

A novel probability integral method segmental modified model for subsidence prediction applicable to thick loose layer mining areas

引用

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2023年第18期30卷 52049-52061页

作者： Wei, Tao Guo, Guangli Li, Huaizhan Wang, Lei Jiang, Qian Jiang, Chunmei China Univ Min & Technol Jiangsu Key Lab Resources & Environm Informat Engn Xuzhou 221116 Jiangsu Peoples R China China Univ Min & Technol Sch Environm & Spatial Informat Xuzhou 221116 Jiangsu Peoples R China Anhui Univ Sci & Technol Sch Spatial Informat & Geomat Engn Huainan 232001 Peoples R China

In response to the problem that the actual extent of coal mining impacts on the surface in thick loose layer mines significantly exceeds the theoretical predictions, based on the literature study, the form of influence of thick loose layer on the predicted parameters of the probability integral method is summarized and analyzed;taking into account the influence of the subsidence coefficient, the sine modification formula of the major influence radius and the logistic modification formula of the subsidence coefficient are established, respectively, and based on the characteristics of the major influence radius, a new subsidence basin demarcation point is proposed and a novel probability integral method segmental parameter modified prediction model is constructed. The simulated experiment and real data experiment results prove that the constructed probability integral method segmented parameter modified model can both reduce the convergence of surface subsidence basin edge better and take into account the predicted accuracy inside the subsidence basin. The research achievements provide scientific data support for disaster warning, pollution management, ecological restoration, and coordination between coal mining and surface city construction in thick loose layer mining areas.

关键词： Mining subsidence Thick loose layer probability integral method Logistic Parameter modification Surface deformation

来源：评论

学校读者我要写书评

暂无评论

Integrating the probability integral method for subsidence prediction and differential synthetic aperture radar interferometry for monitoring mining subsidence in Fengfeng, China

引用

JOURNAL OF APPLIED REMOTE SENSING 2016年第1期10卷

作者： Diao, Xinpeng Wu, Kan Zhou, Dawei Li, Liang China Univ Min & Technol Sch Environm Sci & Spatial Informat Xuzhou 221116 Peoples R China China Univ Min & Technol Jiangsu Key Lab Resources & Environm Informat Eng Xuzhou 221116 Peoples R China China Univ Min & Technol State Key Lab Geomech & Deep Underground Engn Xuzhou 221116 Peoples R China Rhein Westfal TH Aachen Inst Mine Surveying Min Subsidence Engn & Geophys D-52062 Aachen Germany

Differential synthetic aperture radar interferometry (D-InSAR) is characterized mainly by high spatial resolution and high accuracy over a wide coverage range. Because of its unique advantages, the technology is widely used for monitoring ground surface deformations. However, in coal mining areas, the ground surface can suffer large-scale collapses in short periods of time, leading to inaccuracies in D-InSAR results and limiting its use for monitoring mining subsidence. We propose a data-processing method that overcomes these disadvantages by combining D-InSAR with the probability integral method used for predicting mining subsidence. Five RadarSat-2 images over Fengfeng coal mine, China, were used to demonstrate the proposed method and assess its effectiveness. Using this method, surface deformation could be monitored over an area of thousands of square kilometers, and more than 50 regions affected by subsidence were identified. For Jiulong mine, nonlinear subsidence cumulative results were obtained for a time period from January 2011 to April 2011, and the maximum subsidence value reached up to 299 mm. Finally, the efficiency and applicability of the proposed method were verified by comparing with data from leveling surveying. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： mining subsidence monitoring probability integral method subsidence prediction D-InSAR

来源：评论

学校读者我要写书评

暂无评论

Research on 3D Laser Scanning Monitoring method for Mining Subsidence Based on the Auxiliary for probability integral method

引用

KSCE JOURNAL OF CIVIL ENGINEERING 2021年第11期25卷 4403-4416页

作者： Lei Wang Zhu Shangjun Jiang Chuang Li Jingyu Jiang Kegui Teng Chaoqun Wei Tao Guo Qing-biao Anhui Univ Sci & Technol Sch Geomat Huainan 232001 Peoples R China Anhui Univ Sci & Technol Sch Earth & Environm Huainan 232001 Peoples R China China Univ Min & Technol Sch Environm & Geoinformat Xuzhou 221116 Jiangsu Peoples R China

When 3D laser scanning technology is used to monitor the surface deformation of mining subsidence in mining area, the surface of the working face is covered with a large number of vegetation, and the surface water accumulates above the working face, which makes the point cloud data obtained by the 3D laser scanning difficult to denoise, or even missing. At this time, the conventional 3D laser scanning technology can not obtain the surface deformation field of mining subsidence. Aiming at the above problems, the 3D laser scanning monitoring method for mining subsidence based on the auxiliary for PIM proposed (3DLS-PIM). Firstly, this paper introduces the PIM prediction model. Secondly, the mining subsidence observation equation based on 3DLS-PIM is constructed, and then the prediction parameters of PIM are solved based on quantum particle swarm optimization (QPSO). Finally, according to the PIM and its parameters, the mining subsidence surface deformation basin is predicted and obtain the surface deformation field of mining subsidence. Robust experiments show that QPSO has a certain ability to resist random errors and gross errors. The results of engineering application show that the mining area 3D deformation monitoring method proposed in this paper has certain engineering application value.

关键词： Mining subsidence probability integral method 3D laser scanning technology Quantum particle swarm optimization algorithm Deformation monitoring

来源：评论

学校读者我要写书评

暂无评论

Estimation of parameters of probability integral method model based on improved fireworks algorithm

引用

SURVEY REVIEW 2021年第379期53卷 366-382页

作者： Wang, Lei Jiang, Kegui Wei, Tao Jiang, Chuang Zha, Jianfeng Chi, Shenshen Anhui Univ Sci & Technol State Key Lab Min Response & Disaster Prevent & C Huainan Peoples R China Anhui Univ Sci & Technol Sch Geodesy & Geomat Huainan Peoples R China China Univ Min & Technol Jiangsu Key Lab Resources & Environm Informat Eng Xuzhou Jiangsu Peoples R China Key Lab Aviat Aerosp Ground Cooperat Monitoring & Huainan Peoples R China

How to accurately estimate the probability integral parameters based on the measured data has always been a difficult point in the application of the probability integral method. This paper introduced FWA into the solution of the probability integral method for the first time. Based on the analysis of strengths and weaknesses of FWA, IFWA (improved fireworks algorithm) was proposed. Then, the IFWA-based inversion model for probability integral parameters (MIFWA) was constructed by the fusion the mining subsidence law and probability integral method. Experiments show that MIFWA has better performance in anti-errors of the observation and the geological mining generalization.

关键词： probability integral method Estimation of parameters Mining subsidence prediction Improving fireworks algorithm Anti-error D-InSAR technology

来源：评论

学校读者我要写书评

暂无评论

Joint probability integral method and TCPInSAR for Monitoring Mining Time-Series Deformation

引用

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 2019年第1期47卷 63-75页

作者： Zheng, Meinan Deng, Kazhong Du, Sen Liu, Jie Liu, Jiuli Feng, Jun China Univ Min & Technol NASG Key Lab Land Environm & Disaster Monitoring Xuzhou 221116 Jiangsu Peoples R China China Univ Min & Technol Jiangsu Key Lab Resources & Environm Informat Eng Xuzhou 221116 Jiangsu Peoples R China China Univ Min & Technol Sch Environm Sci & Spatial Informat Xuzhou 221116 Jiangsu Peoples R China Beijing Inst Spacecraft Syst Engn Beijing 100094 Peoples R China Shanxi Prov Coal Geol 115 Prospecting Inst Datong 037003 Peoples R China

Because of the high vegetation coverage, fast deformation in certain mine areas, some SAR interferograms are seriously incoherent. When using time-series synthetic aperture radar interferometry (InSAR) to monitor the surface movement basin of the mining area, there may be a certain period of missing deformation information, making the obtained surface time-series deformation incomplete. To this end, this paper proposes a way of using the results predicted by probability integral method (PIM) to replacing the monitoring results that cannot be obtained because of the seriously incoherent SAR interferograms;then, the monitoring results of the high-coherence SAR interferograms and the results predicted by PIM are used by the improved temporarily coherent point SAR interferometry (TCPInSAR) to invert the deformation, thereby obtaining a complete mining time-series deformation. The TCPInSAR using a linear model does not reflect the complex deformation characteristics of the mining area. So this paper focus on the characteristics of deformation of study area, the original linear model is changed to a polynomial model, which improves the applicability of TCPInSAR to monitoring mine deformation. Comparison between the experimental results and levelling shows that the root mean square error (RMSE) and the maximum deviation (MD) of the results obtained by combining the PIM with the improved TCPInSAR are 14.2mm and 43.0mm, respectively. Compared with the results obtained by combining the PIM with the TCPInSAR (RMSE=16.2mm, MD=57.5mm) and the results of using only the TCPInSAR (RMSE=26.5mm, MD=88.4mm), the monitoring accuracy is increased by 12.3% and 46.4%, respectively.

关键词： probability integral method TCPInSAR Time-series deformation Polynomial model Mining area

来源：评论

学校读者我要写书评

暂无评论

Robust estimation of model parameters of the probability integral method based on CA-rPSO

引用

SURVEY REVIEW 2022年第386期54卷 429-439页

作者： Wang, Zhengshuai Zhu, Chuanguang Zhang, Hongzhen Kang, Jianrong Hu, Jinshan Jiangsu Normal Univ Sch Geog Geodesy & Planning Xuzhou Jiangsu Peoples R China Hunan Univ Sci & Technol Key Lab Coal Resources Clean Utilizat & Mine Envi Xiangtan Peoples R China China Univ Min & Technol Sch Environm Sci & Spatial Informat Xuzhou Jiangsu Peoples R China

This paper introduces a framework for robustly estimating the parameters of the probability integral method (PIM). According to the framework, the initial robust estimates of the PIM parameters are firstly obtained by combining the cultural algorithm and rand particle swarm optimisation (CA-rPSO) with the LTS method. As a byproduct, an initial standard deviation can be calculated and used to determine the initial weights of the measurements according to the Institute of Geodesy and Geophysics (IGGIII) down-weighting scheme. Meanwhile, a modified CA-rPSO (referred to as CA-rPSO-IGGIII) is constructed, where the IGGIII scheme is introduced to alleviate the adverse influence of outliers. Then, the initial robust estimates and the standard deviation can act as a priori information for the CA-rPSO-IGGGIII to search for the optimal estimates. Experiments with simulated and real data demonstrate that the proposed method can robustly estimate the PIM parameters.

关键词： Robust estimation probability integral method Particle swarm optimisation Outliers Cultural algorithm Down-weighting

来源：评论

学校读者我要写书评

暂无评论

A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method

引用

Transactions of Nonferrous Metals Society of China 2014年第4期24卷 1242-1247页

作者：范洪冬顾伟秦勇薛继群陈炳乾中国矿业大学江苏省资源环境信息工程重点实验室徐州221116 中国矿业大学资源与地球科学学院徐州221116 中化地质矿山总局浙江地质勘查院杭州310002

Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows：the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points （near the maximum subsidence and inflection points）, was established at first; genetic algorithm （GA） was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR （relative error is 68.0%）.

关键词： D-InSAR genetic algorithm probability integral method mining subsidence

来源：评论

学校读者我要写书评

暂无评论

Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and probability integral method

引用

REMOTE SENSING 2023年第12期15卷 3145-3145页

作者： Chen, Hengyi Zhao, Chaoying Tomas, Roberto Chen, Liquan Yang, Chengsheng Zhang, Yuning Changan Univ Sch Geol Engn & Geomatics Xian 710054 Peoples R China Univ Alicante Escuela Politecn Super Alicante Dept Ingn Civil Alicante 03080 Spain Minist Educ Key Lab Western Chinas Mineral Resources & Geol En Xian 710054 Peoples R China Minist Nat Resources Key Lab Ecol Geol & Disaster Prevent Xian 710054 Peoples R China

The extraction of underground minerals in hilly regions is highly susceptible to landslides, which requires the application of InSAR techniques to monitor the surface displacement. However, repeated mining for multiple coal seams can cause a large displacement beyond the detectable gradient of the traditional InSAR technique, making it difficult to explore the relationship between landslides and subsurface excavations in both temporal and spatial domains. In this study, the Tengqing landslide in Shuicheng, Guizhou, China, was chosen as the study area. Firstly, the large-gradient surface displacement in the line of sight was obtained by the fusion of SAR offset tracking and interferometric phase. Subsequently, a multi-segment logistic model was proposed to simulate the temporal effect induced by repeated mining activities. Next, a simplified probability integral method (SPIM) was utilized to invert the geometry of the mining tunnel and separate the displacement of the mining subsidence and landslide. Finally, the subsurface mining parameters and in situ investigation were carried out to assess the impact of mining and precipitation on the kinematic process of Tengqing landslides. Results showed that the repeated mining activities in Tengqing can not only cause land subsidence and rock avalanches at the top of the mountain, but also accelerate the landslide displacement. The technical approach presented in this study can provide new insights for monitoring and modeling the effects of repeated mining-induced landslides in mountainous areas.

关键词： repeated mining landslide InSAR offset tracking multi-segment logistic model probability integral method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：