Importance of Using Real-Time and Microscopic Analysis Techniques to Characterize DPM in Underground Mines
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2023/09/19
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Series: Mining Publications
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Description:Diesel equipment exhaust is a primary source of carbon-rich submicron particles in the underground mine atmosphere. In this study, the characterization of the morphological and physical properties of particles was used for identification of emission source and understanding the effect of diesel particulate matter (DPM) controll strategies on DPM characteristics. The size distributions and other physical properties of diesel aerosol were investigated on size-segregated samples collected in an underground mining operation. Scanning transmission electron microscopy (STEM) and fast mobility particle sizer were used concurrently to investigate size distribution based on particle projected area and electrical mobility. Other morphological attributes, such as fractal dimension, carbon net counts, and primary particle dimensions were examined for light and heavy-duty equipment powered by for various engine sizes. The results of STEM analysis showed presence of three types of chain-like agglomerates as well as volatile carbon particles. The results showed that when used concurrently, real-time and microscopic techniques can provide a wealth of information on characteristics of aerosols in underground atmosphere. [Description provided by NIOSH]
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ISBN:9781032551463
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Pages in Document:120-128
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NIOSHTIC Number:nn:20069427
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Citation:Underground Ventilation: Proceedings of the 19th North American Mine Ventilation Symposium (NAMVS 2023), June 17-22, 2023, Rapid City, South Dakota. Tukkaraja P ed. London: CRC Press, 2023 Sep; :120-128
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Federal Fiscal Year:2023
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Peer Reviewed:False
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Source Full Name:Underground Ventilation: Proceedings of the 19th North American Mine Ventilation Symposium (NAMVS 2023), June 17-22, 2023, Rapid City, South Dakota
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Main Document Checksum:urn:sha-512:07fa1dd0584ee27346032cb06eceda1b11cbd2f428f37d1609a5ec3f03bd80e40417e59748db2b377a824016df65a33e21700f532e419a8bf4d1cdfbcf7b493e
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