28 research outputs found

    World Mineral Production 2012-16

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    The latest edition of this annual publication from the British Geological Survey (BGS) is now available to download. This volume contains mineral production statistics for the five year period from 2012 to 2016, for more than 70 mineral commodities, by country worldwide. Additional tables containing European production of aggregates and cement are included as an Appendix. It is the latest publication from the World Mineral Statistics dataset which began in 1913. The information contained in the dataset, and associated publications, is compiled from a wide range of sources: home and overseas government departments, national statistical offices, specialist commodity authorities, company reports, and a network of contacts throughout the world

    Potential for critical raw material prospectivity in the UK

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    The UK Critical Minerals Strategy (BEIS, 2022) includes a commitment to ā€œbegin a nationalscale assessment of the critical minerals within the UK. By March 2023, we will collate geoscientific data and identify target areas of potentialā€. This report provides that national-scale assessment of the geological potential for critical raw materials in the UK. It represents the published output of a study, jointly funded by the British Geological Survey and the Department for Business and Trade, which reviewed available geoscientific data in order to identify areas of potential geological prospectivity for critical raw materials in the UK. Critical raw materials (CRMs) are those mineral commodities that are both economically important and at risk of supply disruption. The commodities addressed in this report are those identified as critical to the UK by the Critical Minerals Intelligence Centre (CMIC) (Lusty et al., 2021). These CRMs are currently obtained from mining across the world, but at the time of writing none are produced in the UK, although tungsten has been mined in recent years. Some CRMs such as lithium, tin and graphite are typically the primary products of mines, whereas others are produced as co- or by-products of major commodities such as gold, copper or zinc. Current understanding of the UKā€™s mineral resource endowment rests largely on evidence from historic mining and exploration, together with targeted academic research. The UK has an extensive history of mining that dates to prehistoric times. Gold, barite, fluorite, gypsum, potash and polyhalite are among the commodities that are currently mined, and exploration for many raw materials is occurring across the whole of the UK. The work presented in this report follows a methodology known as a mineral systems approach, which relies on the concept that all mineral deposits of a certain type were formed by a combination of particular geological processes (McCuaig et al., 2010). The processes that must operate for a mineral deposit to form are identified and translated into mappable target criteria derived from available datasets. Key datasets to be used would typically include geological maps, geochemical soil and stream sediment maps, geophysical maps, and mineral occurrence databases. The UK has full geological map coverage, but other datasets are incomplete, with high-resolution geophysical data only being available for limited areas. New stream sediment geochemistry maps were created as part of this work and are available on the CMIC interactive map portal1 , but the whole country is not covered for all elements. These data limitations mean that this report only provides a knowledge-driven assessment of geological potential for CRM prospectivity across the UK. It provides maps for CRMs (grouped or singly as geologically appropriate) indicating the areas where the geological criteria have been met and thus there is potential for deposits of these CRMs to occur. It is important to note that the maps represent areas of potential prospectivity, not where deposits of critical minerals are guaranteed to be found, and also that mineral deposits could be found beyond the identified prospective areas, where localised geological conditions are suitable. The areas identified in the maps can be considered as targets for more detailed research and exploration. This report focuses solely on the geological potential and does not consider other aspects such as environmental designations and planning considerations that may affect the development of a mineral deposit. Combining all the individual maps highlights areas that are prospective for several CRMs and are thus priority for further geological investigations. From north to south, these areas include: areas of prospective geology around Loch Maree near Gairloch; parts of the central Highlands and Aberdeenshire; areas of prospective geology in mid-County Tyrone in Northern Ireland; parts of Cumbria; parts of the North Pennine Orefield; areas in north-west Wales and Pembrokeshire; and south-west England. These areas should now be the focus for collection of new geological, geochemical and geophysical data, in order to identify new CRM prospects for detailed investigation

    National geological screening : Northern Ireland

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    This report is the published product of one of a series of studies covering England, Wales and Northern Ireland commissioned by Radioactive Waste Management (RWM) Ltd. The report provides geological information about Northern Ireland to underpin its process of national geological screening set out in the UKā€™s government White Paper Implementing geological disposal: a framework for the long-term management of higher activity radioactive waste (DECC, 2014). The report describes geological features relevant to the safety requirements of a geological disposal facility (GDF) for radioactive waste emplaced onshore and up to 20 km offshore at depths between 200 and 1000 m from surface. It is written for a technical audience but is intended to inform RWM in its discussions with communities interested in finding out about the potential for their area to host a GDF

    Critical materials for infrastructure: local vs global properties

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    Introducing new technologies into infrastructure (wind turbines, electric vehicles, low-carbon materials and so on) often demands materials that are ā€˜criticalā€™; their supply is likely to be disrupted owing to limited reserves, geopolitical instability, environmental issues and/or increasing demand. Non-critical materials may become critical if introduced into infrastructure, owing to its gigatonne scale. This potentially poses significant risk to the development of low-carbon infrastructure. Analysis of this risk has previously overlooked the relationship between the ā€˜local propertiesā€™ that determine the selection of a technology and the overall vulnerability of the system, a global property. Treating materials or components as elements having fixed properties overlooks optima within the localā€“global variable space that could be exploited to minimise vulnerability while maximising performance. In this study, a framework for such analysis is presented along with a preliminary measure of relative materials criticality by way of a case study (a wind turbine generator). Although introduction of critical materials (in this case, rare earth metals) enhances technical performance by up to an order of magnitude, the associated increase in criticality may be two or three orders of magnitude. Analysis at the materials and component levels produces different results; design decisions should be based on analysis at several levels

    Smart Attendance Management System Using IT

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    Recently face recognition is attractingmuch attention in the society of network, multimedia andinformation access. Areas such as network security, content indexing or retrieval, and video compression benefits from face recognition technology because people are the center of attention in a lot of streams. In this system, we are using face recognition for taking attendance in the class. Student attendance in the classroom is very important task and if taken manually waste a lot of time. This research aims at providing a system to automatically record the student attendance during lecture hours in a hall or room using facial recognition technology instead of the traditional manual methods
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