scholarly journals Effect of Assumed Boundary Conditions in Numerical Model of Road Pavement-Mining Subsoil System on Criterial Values Used in Design Using Mechanistic Methods

2021 ◽  
Vol 1203 (3) ◽  
pp. 032021
Author(s):  
Beata Parkasiewicz ◽  
Marta Kadela
Keyword(s):  
Boundary Conditions ◽  
Design Process ◽  
Underground Mining ◽  
Ground Surface ◽  
Mining Area ◽  
Mining Operations ◽  
Wheel Load ◽  
The Road ◽  
Mining Areas ◽  
Road Pavement

Abstract Underground mining brings benefits in the form of the extracted mineral. The negative effects of mining exploration are deformations of the rock mass, which also cause deformations on the ground surface. There are continuous deformations, discontinuous deformations and mining-induced tremors. Recommendations regarding the protection of the structure of cubature building against the negative effect of mining operations are discussed in detail, for example, in the recommendation published by the Building Research Institute (ITB) in Warsaw. In the case of road structures, the situation is different. Firstly, there are no general rules that would provide clear guidelines for the procedure for designing road pavement in mining areas, similarly to cubature buildings. Secondly, in the computer programs used for the individual design of road pavement, it is not possible to assign additional actions, including mining impact. Therefore, in order to analyze the behavior of the pavement-mining subsoil system, an advanced numerical analyze should be carried out. In this case, the subsoil thickness, the boundary conditions and the constitutive relationships of the materials of the road pavement layers and subsoil should be determined. This paper presents an attempt to select kinematic boundary conditions for the FEM model of the road pavement-mining subsoil system, analogically to the model of the building-mining subsoil system. The paper is aimed at assessment of the influence of kinematic boundary conditions selection on the criterial values that are taken into account during the design process of road pavement using mechanistic methods. For this purpose, three cases were considered: (i) horizontal mining strain (εdesign ), (ii) curvature of surface (Kdesign ), (iii) combined impact of these actions. In these cases, each time vehicle wheel load was assumed. Based on the analyzes, the computational horizontal strain of the mining area εcomp is decisive when assessing the criterial values taken into account in the design process of road pavement structures.

Methods for evaluating ground dislocations in mining areas / Metoda oceny przemieszczeń budowli na terenie górniczym

2012 ◽  
Vol 57 (3) ◽  
pp. 487-496 ◽  
Author(s):  
Adam Kanciruk
Keyword(s):  
Natural Resources ◽  
Electronic Device ◽  
Underground Mining ◽  
Ground Surface ◽  
Hard Coal ◽  
Vibrating Wire ◽  
Mining Operations ◽  
Vibration Period ◽  
Reference Direction ◽  
Mining Areas

Abstract Underground exploitation of natural resources results in disturbance of the original equilibrium in the strata and leads to the emergence of the so-called subsidence troughs on the ground surface (Florkowska, 2010). Due to ground distortion, buildings located in these areas suffer damages and deformations, including angular tilts. An instrument for measuring constructions’ angles of slope is known as an inclinometer. The prototypical vibrating wire inclinometer discussed in the present paper has three wires (each of them cooperating with one electromagnet) on which a weight - attached to an arm - is suspended. Thanks to this, it comes of use in a range of procedures, such as measuring object inclines, or determining the angle between the plane of the incline and the assumed reference direction. As any other vibrating wire transducer, an inclinometer cooperates with a proper electronic device which makes it possible to measure the vibration period for each wire separately. The device is also used for the inclinometer’s calibration. Additionally, the paper provides an example of an inclinometer’s use in measuring the angular tilt of a historical church tower located in the area affected by underground mining operations connected with exploitation of hard coal.

Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification

2019 ◽  
Vol 11 (14) ◽  
pp. 1719 ◽  
Author(s):  
Jiaxin Mi ◽  
Yongjun Yang ◽  
Shaoliang Zhang ◽  
Shi An ◽  
Huping Hou ◽  
...  
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Land Cover ◽  
Large Scale ◽  
Underground Mining ◽  
Mining Area ◽  
Random Forest Classifier ◽  
Land Use Land Cover ◽  
Lulc Change ◽  
Mining Areas

Understanding the changes in a land use/land cover (LULC) is important for environmental assessment and land management. However, tracking the dynamic of LULC has proved difficult, especially in large-scale underground mining areas with extensive LULC heterogeneity and a history of multiple disturbances. Additional research related to the methods in this field is still needed. In this study, we tracked the LULC change in the Nanjiao mining area, Shanxi Province, China between 1987 and 2017 via random forest classifier and continuous Landsat imagery, where years of underground mining and reforestation projects have occurred. We applied a Savitzky–Golay filter and a normalized difference vegetation index (NDVI)-based approach to detect the temporal and spatial change, respectively. The accuracy assessment shows that the random forest classifier has a good performance in this heterogeneous area, with an accuracy ranging from 81.92% to 86.6%, which is also higher than that via support vector machine (SVM), neural network (NN), and maximum likelihood (ML) algorithm. LULC classification results reveal that cultivated forest in the mining area increased significantly after 2004, while the spatial extent of natural forest, buildings, and farmland decreased significantly after 2007. The areas where vegetation was significantly reduced were mainly because of the transformation from natural forest and shrubs into grasslands and bare lands, respectively, whereas the areas with an obvious increase in NDVI were mainly because of the conversion from grasslands and buildings into cultivated forest, especially when villages were abandoned after mining subsidence. A partial correlation analysis demonstrated that the extent of LULC change was significantly related to coal production and reforestation, which indicated the effects of underground mining and reforestation projects on LULC changes. This study suggests that continuous Landsat classification via random forest classifier could be effective in monitoring the long-term dynamics of LULC changes, and provide crucial information and data for the understanding of the driving forces of LULC change, environmental impact assessment, and ecological protection planning in large-scale mining areas.

scholarly journals Slope ranking and geohazards correlation analysis for combined open-underground mining area

2018 ◽  
Author(s):  
Zhang Jin
Keyword(s):  
Correlation Analysis ◽  
Water Conservation ◽  
Laser Scanning ◽  
Underground Mining ◽  
Mining Area ◽  
Open Pit ◽  
Ground Subsidence ◽  
Data Sets ◽  
Mining Areas ◽  
Factor Data

Geohazards in mining areas are mainly ground subsidence, slope landslides and ground cracks, surface cover degradation and environmental ecological pattern destruction. The classification and rank of terrain slope and the feature area extraction of the slope are the important content for the correlation analysis with the geohazards. The slope classification and rank index system for soil and water conservation, land use and man-made ground disasters was analyzed. According to the characteristics of open pit and underground associated mining area, we comprehensively analyzed the spatial correlation between different ground disaster and terrain features and landform types, and propose a new slope ranking index, dividing slope zones and forming slope classification map. Especially slope area of 35-45 degrees and more than 45 degrees was extracted, and the relationship between regional geohazards and slope zone was analyzed. The application of terrestrial laser scanning technology to establish open-pit high precision digital elevation model, extraction of slope, slope type, gully density characteristic factor, topography factor data sets are established, and correlation analysis, to enhance disaster information content.

scholarly journals InSAR monitoring surface deformation induced by underground mining using Sentinel-1 images

2020 ◽  
Vol 382 ◽  
pp. 237-240
Author(s):  
Ling Zhang ◽  
Daqing Ge ◽  
Xiaofang Guo ◽  
Bin Liu ◽  
Man Li ◽  
...  
Keyword(s):  
Land Subsidence ◽  
Surface Deformation ◽  
Underground Mining ◽  
Deformation Gradient ◽  
Mining Area ◽  
Interferometric Synthetic Aperture Radar ◽  
Mining Areas ◽  
Temporal Decorrelation ◽  
Land Deformation ◽  
Small Baseline

Abstract. Land subsidence can be caused by underground mining activities. Interferometric Synthetic Aperture Radar (InSAR) has became an economic, effective and accurate technique for land deformation survey and monitoring. In mining areas, there may be several factors to overcome for the succsessful application of InSAR, such as temporal decorrelation and detectable deformation gradient, that limit the ability of InSAR to monitoring rapid land subsidence. In this paper, images obtained by the Sentinel-1 satellite with 6 or 12 d revisiting time are used to improve the ability to detect a deformation gradient, and reduce the influence of temporal decorrelation. By combining Small Baseline Subsets (SBAS) and Interferometric Point Target Analysis (IPTA) methods, using the Nanhu mining area in Tangshan as an example, the spatial continuous results of land subsidence in this mining area are obtained with a 70 cm per year maximum rate, which clearly characterizes the deformation field and its deformation process. The results show that InSAR is a useful way to monitor land subsidence in a mining area and provides further data for environment mine restoration.

APPLICATION OF GEOMORPHOMETRIC METHODS IN MINING-RELATED GROUND DEFORMATION ANALYSIS – AN EXAMPLE OF THE “NOWY KOŚCIÓŁ” COPPER MINE (“THE OLD COPPER BASIN”, NORTH-SUDETIC SYNCLINORIUM)

2016 ◽  
pp. 0-0
Author(s):  
Aleksander KOWALSKI ◽  
Krzysztof MACIEJAK
Keyword(s):  
Surface Deformation ◽  
Underground Mining ◽  
Ground Deformation ◽  
Digital Terrain Model ◽  
Ground Level ◽  
Mining Area ◽  
Deformation Analysis ◽  
Mining Operations ◽  
Terrain Model ◽  
Digital Elevation

During mapping work carried out since October 2015 in the Nowy Kościół area in the Kaczawskie Foothills, Western Sudetes, a number of morphological forms were identified and catalogued. They indicate surface transformation due to ceased mining activity. Several depressions and grabens were recognized during the digital terrain model and satellite images analysis. The range of deformation has been determined, and their spatial parameters and the maximal depression of the ground level within the mining area have been estimated and described. Such ground level depressions have not been examined in detail before. The main aim of the studies was to determine the usefulness of geomorphometric methods based on LiDAR digital elevation models (DEM) for the purposes of high quality description of surface deformation caused by underground mining operations.

scholarly journals WSN Localization Algorithm on Underground Mining Area

2021 ◽  
Vol 23 (06) ◽  
pp. 464-475
Author(s):  
Shailendra Kumar Rawat ◽  
◽  
Dr. Prof. S. K. Singh ◽  
Dr. Ajay Kumar Bharti ◽  
◽  
...  
Keyword(s):  
Network Formation ◽  
Underground Mining ◽  
Research Work ◽  
Mining Area ◽  
Localization Algorithm ◽  
Mining Areas ◽  
Localization Scheme ◽  
Recent Developments ◽  
The Difference ◽  
Outdoor Localization

The main aim or goal of our research work is to localize the workers working in the mining area exactly or with minimum localization error. Network formation in mining areas is always very crucial. Laborers working in mining areas need strong availability of network as when they go down or deep in a mining area they can be rescued easily. It can only be possible when we know the exact location of the worker working in the particular area. For this, we need a better localization scheme. Many recent developments have been made in the field of the mining area. Random forest scheme, SVM-based regressive localization, Wi-Fi-based localization, and these are some schemes developed so far. RSSI and Trilateration work for both indoor and outdoor localization. The difference is only in terms of temperature because indoor temperature is different from outdoor temperature. When we are working on the basis of distance and signal strength then the proposed localization algorithm is suitable for hill areas too. From the results of the simulation, the new localization algorithm proposed in the paper with error checking and correction increases the accuracy of the localization in the X direction is 99.98 and in Y direction is 99.97 algorithms based on RSSI and dual prediction.

scholarly journals MONITORING OF THE UNDERMINED TERRITORIES OF KARAGANDA COAL BASIN ON THE BASIS OF SATELLITE RADAR INTERFEROMETRY

2016 ◽  
Vol III-6 ◽  
pp. 37-40
Author(s):  
S. B. Ozhigina ◽  
D. V. Mozer ◽  
D. S Ozhigin ◽  
S. G. Ozhigin ◽  
O. G. Bessimbayeva ◽  
...  
Keyword(s):  
Rock Mass ◽  
Underground Mining ◽  
Integrated Approach ◽  
Radar Interferometry ◽  
Coal Basin ◽  
Mining Operations ◽  
Mining Areas ◽  
Close Proximity ◽  
Satellite Radar ◽  
Karaganda Coal

In the Karaganda coal basin, mines are located in close proximity to each other and to the city of Karaganda and ongoing mining operations are accompanied by a dangerous process of settling the earth's surface and monitoring are essential for the region's econ-omy. Underground mining leads to the formation of voids in the rock mass, which cause displacement of the earth surface. This paper demonstrates an innovative use of the integrated approach for monitoring on the example of Karaganda coal basin, which includes estimation of the rock mass displacement using leveling profile lines and satellite radar interferometry. It is proved that satellite radar interferometry provides reliable results of surface subsidence measurements in mining areas and can be used for con-sidered sort of monitoring.

scholarly journals WORKABLE MONITORING SYSTEM BASED ON SPACEBORNE SAR IMAGES FOR MINING AREAS - STINGS DEVELOPMENT PROJECT

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1951-1957
Author(s):  
C. H. Yang ◽  
A. Müterthies ◽  
U. Soergel
Keyword(s):  
Monitoring System ◽  
Surface Deformation ◽  
Warning System ◽  
Mining Area ◽  
Development Project ◽  
Night Vision ◽  
Mining Operations ◽  
Spatiotemporal Resolution ◽  
Sar Images ◽  
Mining Areas

<p><strong>Abstract.</strong> Nowadays monitoring of mining areas, e.g., regarding dam stability, has become increasingly important with rising awareness of safety and environmental protection. An appropriate monitoring scheme is necessitated to legally activate, reactivate, or terminate mining operations. Usually such monitoring relies on in situ surveys, which are unrealistic to cover an extensive mining area. Alternatively, remote sensing based on spaceborne data offers efficient and cost-effective solutions for regular surveillance of large areas. Spaceborne SAR sensors provide images captured rapidly over vast areas at fine spatiotemporal resolution. These sensors are characterized by weather independent and day-and-night vision, which guarantees intensive image series without cloud occlusion. Using multi-temporal SAR images, advanced DInSAR such as PSI and SBAS is a mature technique to evaluate surface deformation at best millimetre level. This technique has been commercialized as a standard service in many Geoinformation companies. Nevertheless, experts from other fields like mining engineers often doubt the information about movement derived from DInSAR. Our duty in industry is to solve these doubts and tailor our techniques for various applications. With the support of STINGS project, we have developed an initial prototype of our monitoring system. The final goal is to launch an interactive GIS-based platform as an early warning system to the public. In this paper, we demonstrate our initial test result using Sentinel-1 images at a mining site in Chile. We also propose the strategies to solve the problems in real applications and discuss how to improve the overall quality.</p>

scholarly journals Evaluation of surface mining areas through geospatial analysis. The case of Ptolemais lignite mines

2021 ◽  
Vol 342 ◽  
pp. 02013
Author(s):  
Aikaterini Servou ◽  
Nikolaos Paraskevis ◽  
Christos Roumpos ◽  
Francis Pavloudakis
Keyword(s):  
Land Reclamation ◽  
Surface Mining ◽  
Mining Area ◽  
Geospatial Analysis ◽  
Slope Aspect ◽  
Land Uses ◽  
Residential Areas ◽  
Present Contribution ◽  
The Road ◽  
Mining Areas

The lignite surface mines often occupy large areas to develop the mining activities: pits, dumping areas, bunkers, buildings, workshops, and other auxiliary facilities. The land reclamation methods and the corresponding land use alternatives after the mine closure constitute an important part of an integrated mining planning. In the present contribution, the main parameters of geospatial planning are investigated in order to assess the changes in land uses in a mining area and to correlate them with the spatiotemporal development of the extraction works. As a case study, geospatial analysis of the current situation in Ptolemais mines is presented. In particular, seven dumping areas are assessed regarding their suitability for specific land uses. The assessment is based on the following criteria: a) slope gradient, b) reclamation works already completed, c) slope aspect, d) proximity to the road network, and e) proximity to residential areas. Furthermore, the ArcGis software is used to compile the layer maps of the corresponding parameters.

Ground motion detection in a salt solution mining area, an application of Multi-Temporal Satellite Interferometry

2021 ◽  
Author(s):  
Lorenzo Solari ◽  
Roberto Montalti ◽  
Anna Barra ◽  
Oriol Monserrat ◽  
Silvia Bianchini ◽  
...  
Keyword(s):  
Ground Motion ◽  
Salt Solution ◽  
Underground Mining ◽  
Central Italy ◽  
Mining Area ◽  
Mining Activity ◽  
Groundwater Depletion ◽  
Solution Mining ◽  
Mining Areas ◽  
Multi Temporal

&lt;p&gt;Subsurface mining is one of the human activities with the highest impact in terms of induced ground motion. The excavation of the mining layers creates a geotechnically and hydrogeologically unstable context. The generation of chimney collapses and sinkholes is the most evident surface consequence of underground mining which, in general, creates the optimal conditions for the development of subsidence bowls. Considering this, the need for ground motion monitoring tools is evident. Topographic measurements have been the obvious choice for many years. Nowadays, the flourishing of Multi-Temporal Satellite Interferometry (MTInSAR) algorithms and techniques offers a new way to measure ground motion in mining areas. MTInSAR fully covers the accuracy requirements asked by mining companies and authorities, adding new potentialities in term of area coverage and number of measurement points. The technique has some intrinsic limitations in mining areas, e.g. coherence loss, but the algorithms are being pushed to their technical limits in order to provide the best coverage and quality of measures.&lt;/p&gt;&lt;p&gt;This work presents a detailed scale MTInSAR approach designed to characterize ground deformation in the salt solution mining area of Saline di Volterra (Tuscany Region, central Italy). In summary, salt solution mining consists in the injection at the depth of interest of a dissolving fluid and in the extraction of the resultant saturated brine. In Saline di Volterra, this mining activity created ground motion, sinkholes and groundwater depletion. The MTInSAR processing approach used is based on the direct integration of interferograms derived from Sentinel-1 images and on the phase splitting between low and high frequency components. Phase unwrapping is separately performed for the two components that are then recombined to avoid error accumulation. Before generating the final deformation map, a classical atmospheric phase filtering is applied to remove the residual low frequency signal. The results obtained reveal the presence of several subsidence bowls, sometimes corresponding to sinkholes formed in the recent past. These moving areas register velocities up to -250 mm/yr with different spatial and temporal patterns according to the distribution and age of formation of sinkholes. This is the first time an interferometric analysis is performed here. It is hoped that such information could increase the awareness of local entities on the ground effects induced by this mining activity.&lt;/p&gt;

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