Experimental Study Of The Piezoelectricity Of Middle Pleistocene Loess In The Weibei Region, China,
2025
School of Intelligent Science and Engineering, Xi’an Peihua University, Xi’an 710125, China; School of Civil Engineering, Chang’an University, Xi’an 710061, China
Experimental Study Of The Piezoelectricity Of Middle Pleistocene Loess In The Weibei Region, China, Jing Yanlin, Liu Jie, Liu Qingying, Duan Xiaoxiao, Xie Na, Yang Dengke
Coal Geology & Exploration
Objective Quartz, the piezoelectric material discovered the earliest, has found widespread applications in industry, military fields, and daily life due to its piezoelectricity. The widely distributed loess worldwide is composed primarily of quartz, accounting for 37.0% to 69.9%. However, there is a lack of studies on the piezoelectricity of loess both domestically and internationally. Methods This study investigated the ${\mathrm{Q}}_2^{{\mathrm{eol}}} $ loess from the Weibei Loess Tableland in Shaanxi Province as an example to explore the piezoelectricity of loess. The piezoelectric coefficient of the loess was measured, and its piezoelectric voltage under the action of static loading and vibration was …
Deformations And Seepage-Induced Erosion Of Fractured Rocks In Fault Under Confined Settings,
2025
Shaanxi Key Laboratory of Prevention and Control Technology for Coal Mine Water Hazard, Xi’an 710077, China; College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Deformations And Seepage-Induced Erosion Of Fractured Rocks In Fault Under Confined Settings, Sun Wenbin, Tian Dianjin, Ma Cheng, Xue Yanchao, Yang Can, Zhu Kaipeng
Coal Geology & Exploration
Objective Most of the mining areas in China have entered the deep mining stage. In this case, the risks of mine water inrushes increase significantly due to the complex deep hydrogeological conditions, a significant increase in the number of hidden disaster-causing factors, and the existence of faults. Methods Using a deformation-seepage experiment system for fractured rocks, this study investigated the characteristics of compressive deformations and seepage-induced erosion of fractured rocks in faults. By analyzing the impacts of particle-size distribution combinations, saturation state, and seepage pressure, on the deformation-permeability characteristics of fractured rocks under confined axial compression, this study investigated the …
Characteristics Of Cenozoic Volcanic Edifices In The Pingnan Area, Xihu Sag,
2025
School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
Characteristics Of Cenozoic Volcanic Edifices In The Pingnan Area, Xihu Sag, Sun Naiquan, Jiang Donghui, Pan Jie, Gao Yang, Pu Renhai, Dong Xinxu
Coal Geology & Exploration
Significance Igneous rocks are well-developed in the southern Pinghu slope zone, Xihu Sag, East China Sea Shelf Basin. In this zone, the increased local geotemperature caused by magmatic activity produced significant impacts on the thermal evolution of source rocks and the formation of secondary pores in sandstone reservoirs and also serves as a significant indicator of regional tectonic movements, thus holding great significance for understanding the regional geological history. Objective and Methods This study aims to determine the formation stages and distribution patterns of igneous rocks as the cap rocks in the southern Pinghu slope zone. Using previous study results …
An Intelligent Lithology Identification Method For Sandstone And Mudstone Strata And Its Applications: A Case Study Of The Jurassic Strata In The Lunnan Area, Xinjiang, China,
2025
Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China; College of Geophysics and Petroleum Resources, Yangtze University, Wuhan 430100, China
An Intelligent Lithology Identification Method For Sandstone And Mudstone Strata And Its Applications: A Case Study Of The Jurassic Strata In The Lunnan Area, Xinjiang, China, Cai Ming, Zhou Qingwen, Yang Cong, Chen Feng, Wu Dong, Lin Wang, Zhang Chengguang, Zhang Yuanjun, Miao Yuxin
Coal Geology & Exploration
Objective Lithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization rates of logging information and low identification accuracy for strata with small differences in logging responses. This seriously restricts the effects of old well reexamination. The efficient, intelligent CatBoost classification algorithm can fully mine the correlations between multi-source logging information and lithology. Methods This study investigated the Jurassic sandstone and mudstone reservoirs in the Lunnan area, Xinjiang, China. Using five logging parameters determined through sensitivity analysis, i.e., natural gamma-ray value, spontaneous potential, …
A Dehazing And Enhancement Algorithm For Heterogeneous Images Of Underground Mining Environments In Coal Mines,
2025
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China; Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring, Xi’an 710054, China
A Dehazing And Enhancement Algorithm For Heterogeneous Images Of Underground Mining Environments In Coal Mines, Zhang Xuhui, Xie Yanbin, Yang Wenjuan, Zhang Chao, Wan Jicheng, Dong Zheng, Wang Yanqun, Jiang Jie, Li Long
Coal Geology & Exploration
Objective In coal mines, the uneven distribution of dust haze and complex illumination conditions caused by underground coal mining and dust removal lead to blurred video images, as well as the loss of information and details. Hence, this study proposed a dehazing and enhancement algorithm for heterogeneous images of underground mining environments. Methods Initially, hazy images were segmented into zones with different brightness values, for which the average ambient light intensity of global dark channels was calculated. The calculation results were integrated through weighting with the ambient light of local bright channels, which was obtained using adaptive gamma correction and …
Feasibility Study For Providing Remedial Measures For Overburden Dump In New Majri Ug To Oc Mine, Wcl Majri Area, Warora, Chandrapur,
2025
Visvesvaraya National Institute of Technology, Nagpur 440010, Maharashtra, India
Feasibility Study For Providing Remedial Measures For Overburden Dump In New Majri Ug To Oc Mine, Wcl Majri Area, Warora, Chandrapur, Himanshu Kumar Jangir, Rahul Shende, Omkar Navagire, Srinivasan Venkatraman, Anirban Mandal, Anjan Patel
Journal of Sustainable Mining
The central region of India is abundant in fertile black cotton soil, and the presence of such weak floors in open-cast mines poses significant slope stability concerns for overburden (OB) dumps. Addressing these issues is crucial for ensuring safe mining operations and cost-effectiveness. Several coal mines in this region have experienced overburden dump collapses due to the weak soil foundation. To enhance slope stability and mitigate the heaving effect near the toe of the dump, this study proposes parametric research that explores the flattening of the overall slope angle of the dump, bench angle optimization, and various feasible dimensions for …
An Attempt To Determine The Strong Tremors Causes During Longwall Mining Of Destressed Bottom Layer Of A Thick Coal Seam,
2025
Polish Mining Group, Ruda Hard Coal Mine, Poland,
An Attempt To Determine The Strong Tremors Causes During Longwall Mining Of Destressed Bottom Layer Of A Thick Coal Seam, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska
Journal of Sustainable Mining
The sequence and method of coal seam mining can significantly minimize the risk of rock bursts. The planning of exploitation in the Bielszowice part of the Ruda Hard Coal Mine involves maximizing the destress effect associated with the mining of adjacent coal seams or layers of thick coal seams. Longwall mining of destressed coal seams is characterized by much lower seismic activity; however, even during such mining, high-energy tremors may occur. This article analyzes the seismic activity accompanying the mining of longwall panels in the bottom and top layers of thick seam No. 510 and seam No. 507 in the …
Optimizing Underground Construction And Plan Management For The Mong Duong Coal Mine, Vietnam,
2025
Faculty of Mining, Hanoi University of Mining and Geology, Vietnam
Optimizing Underground Construction And Plan Management For The Mong Duong Coal Mine, Vietnam, Phi Hung Nguyen, Thi Kim Thanh Nguyen, Duc Hung Pham, Quang Phuc Le, Thai Tien Dung Vu
Journal of Sustainable Mining
Mong Duong mine’s output objective is 1.5 million tons, which requires approximately 10,000 m of tunnel excavation each year. Because of the complicated geological features, the actual work is vastly different, necessitating regular changes in design and technical approaches, as well as plans for material supply, money, and staff. On the other hand, office personnel visit the construction site to update the work status after each report, and the department head and board of directors make choices on development and execution. This process takes time because it is carried out manually. As a result, a solution to support the optimization …
Spatiotemporal Variation Of Vegetation Cover In Mining Areas Of Ysr Kadapa District, Andhra Pradesh Using Remote Sensing And Gis,
2025
Dept. of Mining Engineering, Godavari Institute of Engineering and Technology (A), Rajahmundry, Andhra Pradesh, India
Spatiotemporal Variation Of Vegetation Cover In Mining Areas Of Ysr Kadapa District, Andhra Pradesh Using Remote Sensing And Gis, Vinod Kumar Yarlanki, Prudhvi Raj Muppala, Prem Kumar Yasam, Balaji Gollapudi, Sumanth Moddu, Appanna Besta
Journal of Sustainable Mining
The spatiotemporal variation of vegetation cover in the mining areas of YSR Kadapa district, Andhra Pradesh, using Remote Sensing and GIS techniques. By focusing on the years 2014, 2018, and 2023, the analysis provides insights into changes observed in water bodies, bare soil, sparse vegetation, moderate vegetation, and dense vegetation. The results reveal dynamic trends in land cover categories, highlighting the environmental impact of mining activities in the region. A significant decline in water bodies is observed, with the area reducing from 3.48 km2 in 2014 to 1.91km2 in 2023. This decrease raises concerns about the potential degradation …
Assessing The Perception Gap: Mining Impacts From Community And Company Perspectives In Nigeria,
2025
CIM Environmental Services, Nigeria,
Assessing The Perception Gap: Mining Impacts From Community And Company Perspectives In Nigeria, Ikechukwu Mbachu
Journal of Sustainable Mining
The study intends to evaluate how mining companies and their host communities perceive the impacts of mining operations and to ascertain if there are significant differences in how both parties perceive the impacts of mining in Nigeria. The study was carried out in twelve states in Nigeria and covered the six geopolitical zones in Nigeria. Data was collected through a questionnaire and interviews carried out separately with community members and company representatives. The study investigated ten categories of mining impacts such as socioeconomic, environmental, health, physical and so on. To gauge the perceptions of the respondents on the different impact …
Effect Of Depth And Particle Size On Spontaneous Combustion Of Coal In Deep Underground Mines Of Jharia Coalfield,
2025
CSIR – Central Institute of Mining and Fuel Research, Barwa Road Campus, Dhanbad-826001, Jharkhand, India
Effect Of Depth And Particle Size On Spontaneous Combustion Of Coal In Deep Underground Mines Of Jharia Coalfield, Debashish Mishra, D.P. Mishra, N K Mohalik, S K Ray, J K Pandey
Journal of Sustainable Mining
Since their inception, the deep mines have faced the challenges of spontaneous heating and fire. The study examines the impact of coal seam depth and particle size on the spontaneous combustion of coal. A spontaneous heating study of seven coal samples shows moisture, volatile matter, and ash do not exhibit any clear trend except for fixed carbon, which shows a direct relationship. However, crossing point temperature (CPT) and thermo-gravimetric (TGignition) temperature reveal an inverse relationship between spontaneous combustion and the depth of the coal seam. Five size ranges: < 106, 106–212, 212–425, 425–2000, and 0–212 µm are studied, which displayed an increase in mean specific surface area (SSA) by 87% and a decrease in …
Mineralogical Analysis And Beneficiation Assessment To Unlock The Lithium Potential In Kenticha Pegmatite Ore,
2025
Mineral Industry Development Institute, Ministry of Mines, P.O. Box 486, Addis Ababa, Ethiopia
Mineralogical Analysis And Beneficiation Assessment To Unlock The Lithium Potential In Kenticha Pegmatite Ore, Gutema Mekonen, Mulugeta Sisay, Goitom Gebreyohannes
Journal of Sustainable Mining
Lithium is utilized in various industries, especially currently Lithium-ion batteries are employed in electric vehicles and portable electronic devices as an energy source, in pharmaceutical industries, aerospace applications, glass and ceramics production, lubricants and greases, air purification systems, nuclear power, and aluminum production. The Kenticha pegmatite ore deposit in Ethiopia holds potential, and this study analyzed the mineralization of Kenticha spodumene ore and assessed its suitability for beneficiation by employing X-ray diffraction (XRD), Atomic Absorption Spectroscopy (AAS), and petrographic microscope analysis. The study determined the mineral composition, average composition, and texture of spodumene pegmatite ore for spodumene concentrate liberation. Based …
Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming.,
2025
Center for Mineral Technology, Coordination of Metallurgical and Environmental Processes, Brazil
Potential Impact Of Coal Mining And Use For Electricity Generation In Brazil On Global Warming., Marisa Nascimento, Paulo Sergio Moreira Soares
Journal of Sustainable Mining
The study aims to evaluate the potential contribution of coal production for electric power generation in Brazil to greenhouse gases (GHG) emissions, applying life cycle assessment (LCA). The product system studied consists of mining, transportation of the coal to the power station, and power generation. The LCA was first developed only for coal mining in Brazil. Secondly, it was enlarged to include transportation of the coal domestically produced, the hard coal imported, and power generation (Integrated System BR). In the mining stage in Brazil (Brazilian coal), the contribution to the global warming potential was estimated at 237 kg of CO …
Determination Of The Liberation Size Of Mekaneselam Iron Ore In The Southern Wollo Zone, Northern Ethiopia: Implications For Beneficiation,
2025
Mineral Industry Development Institute, Ministry of Mines, P.O. Box 486, Addis Ababa, Ethiopia
Determination Of The Liberation Size Of Mekaneselam Iron Ore In The Southern Wollo Zone, Northern Ethiopia: Implications For Beneficiation, Getahun Meseret, Bisrat Kebede, Belayneh Digafe
Journal of Sustainable Mining
Previous investigations in the target area primarily focused on ore genesis or the geological formations of the ore deposit, neglecting the specific beneficiation aspects associated with the ore. Due to gaps with respect to beneficiation aspects,the research aimed to determine the liberation size of the target iron-bearing ore mineral through mineralogical identification, chemical composition analysis, and examination of the particle size distribution. In this study, various methods were employed, including atomic absorption spectrometry (AAS), X-ray fluorescence (X-RF), X-ray diffraction (XRD) analysis, and sieve analysis. The chemical composition analysis of Mekaneselam iron ore revealed significant amount of 16.55–77.59 % Fe2O3, 7.31–59.02% …
Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach,
2025
Department of Mining Engineering, Indian Institute of Technology (ISM), Dhanbad, India
Leveraging Intrinsic Properties For Classification Of Coal Seams Towards Spontaneous Combustion Proclivity And Predicting Susceptibility Using Machine Learning: Smart And Sustainable Mining Approach, Siddhartha Agarwal, Pradeep K. Gautam, Yuhao Zou, Rishabh Dwivedi, D.C. Panigrahi, C. Dagli, Atul Singh
Journal of Sustainable Mining
Mine fires and other hazards caused by spontaneous coal combustion are a pervasive and longstanding issue in Jharia coalfields, India. This study proposes a novel approach to classify coal seams based on their propensity to spontaneous combustion using the intrinsic properties of 30 coal samples from different seams. This method eliminates the need for expensive and time-consuming experimental determinations of susceptibility indices (SI) such as crossing point temperature (CPT), critical air blast (CAB), and differential thermal analysis (DTA). All clustering models, viz. hierarchical, k-means, and multidimensional scaling, aptly classify coal seams into three categories: highly risky, medium risky, and low …
A Dynamic Intuitionistic Fuzzy Group Decision Analysis For Sustainability Risk Assessment In Surface Mining Operation Projects,
2025
Deputy of Research and Development, Mobin Mining & Road Construction Company, Tehran, Iran
A Dynamic Intuitionistic Fuzzy Group Decision Analysis For Sustainability Risk Assessment In Surface Mining Operation Projects, Mohammad Panahi Borujeni, Arash Behzadipour, Hossein Gitinavard
Journal of Sustainable Mining
With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the …
An Automated Integrated Web-Based Smart Tool For Open Stope Design,
2025
Earth & Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
An Automated Integrated Web-Based Smart Tool For Open Stope Design, Yerkezhan Madenova, Fidelis Suorineni, Shuai Xu
Journal of Sustainable Mining
The Stability Graph is a widely used tool for the design of open stopes in underground mining. Many users of the Stability Graph still apply this design method manually. Although the manual approach has benefits, using multiple graphs and stability number computation charts for each stope surface is time-consuming, even for the experienced mining engineer. Current practice in the use of the method also limits data sharing. This paper presents a StopeSoft web-based tool for open stope stability prediction that is developed on the basis of the Stability Graph method and is available at openstope.com. StopeSoft incorporates flexibility in terms …
Yolo-Based Miner Detection Using Thermal Images In Underground Mines,
2025
Missouri University of Science and Technology
Yolo-Based Miner Detection Using Thermal Images In Underground Mines, Cyrus Addy, Venkata Sriram Siddhardh Nadendla, Kwame Awuah-Offei
Computer Science Faculty Research & Creative Works
Well-designed and effective in-mine robots can expedite miner self-rescue during emergencies and reduce fatalities. These in-mine robots for miner self-rescue can carry out diverse tasks such as scouting (including object detection and autonomous navigation), and payload delivery. However, robots that can effectively detect humans in a dark underground mine do not yet exist. This paper investigates challenges in the design of object detection algorithms for in-mine robots using thermal images, especially to detect people in real-time, in low-light conditions. The research team collected 500 thermal images in the Missouri University of Science & Technology Experimental Mine with the help of …
Using Telemetry To Assess Operator Effects On Hydraulic Shovel Energy Efficiency. Part Ii: Assessing Operator Effects,
2025
Missouri University of Science and Technology
Using Telemetry To Assess Operator Effects On Hydraulic Shovel Energy Efficiency. Part Ii: Assessing Operator Effects, Noah Adekunle Aluko, Kwame Awuah-Offei
Mining Engineering Faculty Research & Creative Works
In this second part of a two-part series, this study investigates whether operator practices significantly affect the energy efficiency of hydraulic shovels, using detailed telemetry data. Rather than assuming this relationship, the research systematically tests it through a combination of statistical and regression analyses. First, Welch's and Kruskal–Wallis ANOVA confirm that operators differ significantly in their energy efficiency (p = 0.0000). Next, correlation analysis links parameters identified in Part I to energy per unit loading rate, and difference regression analysis determines which parameters most strongly influence efficiency variations. The results show that differences in payloads are the primary driver of …
Understanding The Usefulness Of Self-Escape Technologies In Underground Mining: Perspectives Of Metal/Nonmetal Miners,
2025
Missouri University of Science and Technology
Understanding The Usefulness Of Self-Escape Technologies In Underground Mining: Perspectives Of Metal/Nonmetal Miners, Eugene A. Gyawu, Kwame Awuah-Offei, D. A. Baker
Mining Engineering Faculty Research & Creative Works
Research on mine self-escape often focuses on coal mining, while perspectives from underground metal/nonmetal miners remain understudied despite their distinct emergency response challenges and unique operating environments. Using a scenario-based survey approach, this study evaluated underground metal/nonmetal miners' perceptions of the usefulness of 18 hypothetical self-escape interventions and how these perceptions are influenced by worker characteristics. Employment type was the strongest predictor of usefulness ratings, with hourly employees rating several self-escape interventions significantly higher than salaried employees, including those related to improving self-contained self-rescuers (SCSRs) and tethered guidance systems. The data suggested potential trends where perceived usefulness increased with more …
