Application of GPS/InSAR fusion technology in dynamic monitoring of mining subsidence in western mining areas

2012 ◽  
Author(s):  
Tang Fuquan ◽  
Chen Zuxi ◽  
Wu Hanying
Keyword(s):  
Mining Subsidence ◽  
Dynamic Monitoring ◽  
Fusion Technology ◽  
Mining Areas

Mine Dynamic Monitoring and Integrated Management Based on RS and GIS

2014 ◽  
Vol 955-959 ◽  
pp. 3840-3844 ◽  
Author(s):  
Xue Yuan Li ◽  
Shi Lei Chen ◽  
Kai Bian
Keyword(s):  
Integrated Management ◽  
Mineral Resources ◽  
Accurate Method ◽  
Mining Area ◽  
Dynamic Monitoring ◽  
Mining Areas ◽  
Rs And Gis ◽  
Wide Range ◽  
Spatial Database Engine ◽  
Mine Development

The development of mineral resources is accompanied by serious threats to the geological environment in China. In order to balance mining order, mine environmental protection and ecological restoration, this article examines a case study of Ningwu mining area and proposes an accurate method for mine dynamic monitoring in mining area based on remote sensing (RS), which is a series of technical processes with RS images selection, mine development situation and dynamic monitoring which includes areas change and types transfer. Findings indicate that the area of bauxite pit, bauxite and coal dump increased, the area of coal industrial square decreased, coal dump and industrial square mainly transferred into bauxite pit. The organization and storage model were discussed for results integrated management by spatial database engine (ArcSDE).The application of results retrieval was developed by GIS components. This method can be considered as an effective approach for a wide range of mine development monitoring in mining areas in China.

Present Situation of Research on Coal Mining Subsidence under Highway in China

2013 ◽  
Vol 664 ◽  
pp. 954-959
Author(s):  
Wei Nan Deng ◽  
Hua Xing Zhang
Keyword(s):  
Coal Mining ◽  
Present Situation ◽  
Mining Subsidence ◽  
Future Research ◽  
Research Directions ◽  
Mining Areas ◽  
Key Points ◽  
Safety Design ◽  
Future Research Directions ◽  
Coal Mining Subsidence

Research on coal mining subsidence under highway can be divided into two fields: research on the problems caused by coal mining under highway and research on the problems caused by highway construction above mined-out area of coal mine.The issues about safety，design and engineering are the key points restricting the safety and the construction of highway in coal mining areas. The paper completely summarized and analysed the present situation of research on coal mining subsidence under highway and the special characteristics comparing with the general building and the railway. In order to ensure the safety of existing highways and highways in planning in coal mining areas, according to the deficiency of current research, this paper put forward the future research directions of coal mining subsidence under highway.

Study of Failure Mechanism of Anti-Dip Rocks Materials Slope under Mining Subsidence

2010 ◽  
Vol 143-144 ◽  
pp. 1097-1101 ◽  
Author(s):  
Yi Qing Lv ◽  
Hong Fu Liu ◽  
Jian Jun Yang
Keyword(s):  
Failure Strain ◽  
Simulation Analysis ◽  
Soil Layer ◽  
Vertical Direction ◽  
Shear Resistance ◽  
Mining Subsidence ◽  
Mining Areas ◽  
Deformation And Fracture ◽  
Rock And Soil ◽  
Dip Slope

In order to protect the lives and property of mine workers, the influence of rocks materials slope induced by coal mining was presented. Based on geological data, a case of the mining areas of Fengmaoding anti-dip slope in China was studied using simulation analysis methods. Results show that deformation and fracture of this slope was influenced by mining subsidence, and the rock and soil layer made subsidence deformation in the vertical direction under geostatic pressure. After the deformation became stability, it would make failure strain in the horizontal direction. If initial stress of the slap’s failure in surface exceeded the shear resistance,the slope gradually slipped down, and the landslides occurred finally.

Deformation Characteristics of Pipeline in Mining Subsidence Areas Based on Strain

2010 ◽  
Author(s):  
Zhangzhong Wu ◽  
Bing Han ◽  
Jianbin Hao ◽  
Hongyuan Jing ◽  
Jianping Liu
Keyword(s):  
Oil And Gas ◽  
Mining Subsidence ◽  
Pipe Material ◽  
Deformation Characteristics ◽  
Mining Areas ◽  
Soil Subsidence ◽  
Strain Relationship ◽  
Newton Raphson ◽  
Raphson Method ◽  
Outside Diameter

The mechanical model of oil and gas pipeline in mining subsidence areas is proposed according to the characteristics of mining areas and properties of pipe material, and the effects of subsidence imposed on pipeline are divided into soil creeping, local pipe span, free pipe span, and sudden soil subsidence respectively. The mechanical equations of four states are provided based on strain and Ramberg-Osgoods’ stress-strain relationship, and the direct search method with Newton-Raphson method is used for the solution. Under the condition of different wall thickness (WT), outside diameter (OD) and buried depth, numerical calculation analyzes the deformation characteristics of the strain subject to the change in length of the span or subsidence. It shows that WT of pipe exerts the greatest impact than others, and the influence of buried depth is larger than OD except the state of soil creeping. In addition, a conclusion can be drawn that the application of strain-based design gives full play to the advantage of self-bearing ability, and the allowable length of subsidence imposed on pipeline is increased.

scholarly journals An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence

2020 ◽  
Vol 10 (21) ◽  
pp. 7845
Author(s):  
Jangwon Suh
Keyword(s):  
Engineering Geology ◽  
Risk Mitigation ◽  
Management Strategies ◽  
Mining Subsidence ◽  
Data Uncertainty ◽  
Future Perspectives ◽  
Predictive Mapping ◽  
Mining Areas ◽  
Analytic Methods ◽  
Hazard And Risk

This article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineering geology maps. Subsequently, the mapping studies were also reclassified into several groups according to the analytic methods used in the correlation derivation or elements of the risk of interest. Data uncertainty, analytic methods and techniques, and usability of the prediction map were considered in the discussion of the limitations and future perspectives of mining subsidence zonation studies. Because GIS can process geospatial data in relation to mining subsidence, the application and feasibility of exploiting GIS-assisted geospatial predictive mapping may be expanded further. GIS-based subsidence predictive maps are helpful for both engineers and for planners responsible for the design and implementation of risk mitigation and management strategies in mining areas.

scholarly journals Dynamic simulation for the process of mining subsidence based on cellular automata model

2020 ◽  
Vol 12 (1) ◽  
pp. 832-839
Author(s):  
Qiuji Chen ◽  
Jiye Li ◽  
Enke Hou
Keyword(s):  
Cellular Automata ◽  
Land Reclamation ◽  
Research Area ◽  
Mining Subsidence ◽  
Observation Data ◽  
Ecological Civilization ◽  
Protection Measures ◽  
Technical Problems ◽  
Mining Areas ◽  
Ca Model

AbstractUnder the background of the ecological civilization era, rapidly obtaining coal mining information, timely assessing the ecological environmental impacts, and drafting different management and protection measures in advance to enhance the capacity of green mine construction have become the urgent technical problems to be solved at present. Simulating and analyzing mining subsidence is the foundation for a land reclamation plan. The Cellular Automata (CA) model provides a new tool for simulating the evolution of mining subsidence. This paper takes a mine in East China as a research area, analyses the methods and measures for developing a model of mining subsidence based on the theories of CA and mining technology, then discusses the results of simulation from different aspects. Through comparative analysis, it can be found that the predicted result is well consonant with the observation data. The CA model can simulate complex systems. The system of mining subsidence evolution CA is developed with the support of ArcGIS and Python, which can help to realize data management, visualization, and spatial analysis. The dynamic evolution of subsidence provides a basis for constructing a reclamation program. The research results show that the research methods and techniques adopted in this paper are feasible for the dynamic mining subsidence, and the work will continue to do in the future to help the construction of ecological civilization in mining areas.

scholarly journals Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model

2019 ◽  
Vol 11 (1) ◽  
pp. 738-749
Author(s):  
Jinchao Li ◽  
Fei Gao ◽  
Jiaguo Lu ◽  
Tingye Tao
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Dynamic Monitoring ◽  
Ground Subsidence ◽  
Support Vector ◽  
Residential Areas ◽  
Mining Areas ◽  
Series Analysis

Abstract Underground coal mining activities often cause ground subsidence and damage to surface construction, which seriously threatens the lives and property of residents in mining areas. In this paper, the deformation of the Yang Juzhuang village, which is a residential area in the Huainan mining area (China), was monitored through an interferometric synthetic aperture radar (InSAR) time series analysis. The vertical displacements were detected using thirteen Sentinel-1A images that were acquired between December 2016 and May 2017. The validity and applicability of the method are verified by comparing the acquired images with the GPS measurement results. Because of the deformation characteristics of the mining area, a prediction model that is combined with a grey support vector machine regression (GM-SVR) is proposed, and the practical effects of the model are verified using the deformation monitoring results of the study area. The combination of this model and SBAS-InSAR provides rapid dynamic monitoring and enables the issuance of disaster warnings in the region.

scholarly journals Investigation on Mining Subsidence Based on Sentinel-1A Data by SBAS-InSAR technology—Case Study of Ningdong Coalfield, China

2020 ◽  
Vol 24 (3) ◽  
pp. 373-386
Author(s):  
Fei Ma ◽  
Lichun Sui
Keyword(s):  
Deformation Rate ◽  
Large Scale ◽  
Underground Mining ◽  
Ground Deformation ◽  
Mining Area ◽  
Mining Subsidence ◽  
Maximum Deformation ◽  
Mining Areas ◽  
Short Period ◽  
Sbas Insar

Ground deformation characterization was difficult to obtain over large spatial areas before the invention of the Satellite radar interferometry (InSAR) technique. Especially underground mining in the Loess Plateau of China, it causes large-scale ground damage within a short period of time. A small baseline subset (SBAS) algorithm can overcome some limitations of InSAR technology, such as temporal decorrelation, spatial decorrelation, and atmospheric delay. In this study, SBAS-InSAR technology was applied to process 19 scenes of Sentinel-1A data in Ningdong Coalfield, China. We investigated and analyzed the mining subsidence status from March 2015 to June 2016. There are 6 ground deformation areas in the cumulative subsidence maps, and the maximum cumulative subsidence value is -178cm distributed in the Renjiazhuang mining area during this period. The deformation rate map shows that the maximum deformation rate was -117cm/year. GPS data above the working tunnel was collected in six mining areas in Shigouyi. The subsidence value of SBAS data is consistent with GPS observation station data. The results reveal the evolution process of subsidence in mining subsidence and are helpful to the early warning of the mine disaster.

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