Sürdürülebilir Kalkınma Amaçları

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• Derleme MakaleYalnız künye2026/r/gumushane/13708
  Activated Carbon Derived from Coal and its Application for Wastewater Treatment

  Daulay, Amru; Yassaroh, Yassaroh; Huda, Miftahul; Sumardi, Slamet; Prasetia, Hendra; Kumaş, Cavit; Yusmiati; Lestari, Devi

  Coal is used to produce fuels, chemicals, and other high-value-added products to improve efficiency. Activated carbon (AC) derived from coal is an important part of coal’s resource utilization and is high-value-added. This study presents relevant research on AC derived from coal, including raw material selection, preparation methods, modification techniques, and regeneration methods. The potential applications of AC derived from coal for the adsorption of contaminants, including heavy metals, pesticides, pharmaceutical compounds, and organic and inorganic compounds, are reviewed. One of the advantages of using AC derived from coal in wastewater treatment is high adsorption, low cost, and sustainability.

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• Derleme MakaleYalnız künye2026/r/gumushane/13441
  Sustainable Mining: Environmental Challenges, Mine Tailings Management and Technological Innovations

  Orak, Mürsel

  Mining provides essential raw materials for global economic development; however, it is also associated with significant environmental impacts including land degradation, water contamination, and the generation of large volumes of mine tailings. Sustainable mining has emerged as a strategic framework aimed at balancing economic benefits with environmental protection and social responsibility. This study presents a comprehensive review of sustainable mining practices with particular emphasis on environmental impacts, mine tailings management strategies, acid mine drainage mitigation, and innovative technologies such as cemented paste backfill (CPB). In addition, the role of circular economy approaches, digital mining technologies, and mine closure strategies in improving sustainability performance is discussed. The findings indicate that integrating advanced tailings management strategies and technological innovations can significantly reduce environmental risks and enhance the long-term sustainability of mining operations.

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• MakaleAçık Erişim2021/r/gumushane/14796
  A Data-Driven Approach to Control Fugitive Dust in Mine Operations

  Kahraman, Muhammet Mustafa; Erkayaoglu, Mustafa

  Particulate matter (PM) is one of the main actors related to air pollution caused by surface mining. Fugitive dust, considered as particulate matter that cannot be collected by conventional measures, is classified by the particle size. The Environmental Protection Agency (EPA) categorizes PM as coarse and fine particles based on the particle size being less than 10 μm (PM10) and less than 2.5 μm (PM2.5). Basic operations of surface mining such as drilling and blasting, loading, haulage, and processing are processes that can potentially generate fugitive dust. Regulations and legislations enforce the mining industry to use environmental monitoring systems, fugitive dust level measured by PM10 level as part of this. Air quality monitors are positioned at different locations around surface coal mines and track air quality levels during production. This study introduces a data-driven methodology to handle air quality issues related to fugitive dust at surface coal mines. Data is sourced from different mine equipment in real-time and they are integrated with air quality monitoring systems to provide information to support decisions for fugitive dust. The method is implemented and demonstrated in a case study at a large surface coal mine.

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• MakaleYalnız künye2021/r/gumushane/12881
  Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning

  Kahraman, Muhammet Mustafa

  Despite technological advancements and organizational adjustments, lost time accidents are major issues in occupational safety. However, there is very limited work that focuses on variables influencing days lost as a result of occupational accidents. In this study, decision tree and artificial neural network methods were used as machine learning techniques to investigate the impact of factors on accident lost day duration. Degree of injury, worker age, and worker activity were found to be the top three variables impacting loss of time from work. It was also identified that the mining method, location, and nature of injury had a moderate influence on duration lost due to occupational accidents. However, worker experience and ore type did not have any significant impact on the duration, which is an unexpected result. These results confirmed that some accident factors that might have a large influence on the number of mine accidents can be less critical when it comes to accident lost day duration.

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• MakaleAçık Erişim2019/r/gumushane/15147
  Formal Assessment and Measurement of Data Utilization and Value for Mines

  Rogers, W. Pratt; Kahraman, M. Mustafa; Dessureault, Sean

  Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.

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• Derleme MakaleYalnız künye2019/r/gumushane/11366
  Automation in the Mining Industry: Review of Technology, Systems, Human Factors, and Political Risk

  Rogers, W. Pratt; Kahraman, M. Mustafa; Drews, Frank A.; Powell, Kody; Haight, Joel M.; Wang, Yaxue; Baxla, Kritika; Sobalkar, Mohit

  In the opinion of these authors, technology alone can never give an organization an edge over competitors or provide an industry step change. However, history has shown that technology applied with correct logistics and strategy makes a significant difference. Never has the minerals industry faced such daunting challenges and been in such need of a step change. Application of autonomous systems has been steadily increasing in the minerals industry. Automation technology has changed the mining value chain from exploration to mineral processing and refining. The future state will only see additional in-roads of automation into more processes and the whole system design. To better understand the near-future potential of automation, it is useful to explore and review the current state of automation in minerals development. A review of the state of automation research is given. The review will consider three critical areas: automation technology, system’s engineering and management processes around automation, and the role of human factors engineering in automated and semi-automated systems. The review ends with a discussion on the social and political risks of automation in terms of shared value and sustainable development.

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