Evaluation of Methodology for Real-Time Monitoring of Diesel Particulate Matter in Underground Mines
Public Domain
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2023/02/01
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Series: Mining Publications
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Description:The results of diesel particulate matter (DPM) monitoring were used by the underground mining industry to mitigate adverse efects of exposure to DPM. NIOSH Method 5040, currently used for ambient and personal exposure monitoring, does not provide needed real-time information. The objective of this study is to develop a methodology for continuous monitoring of DPM concentrations in an underground environment, founded on the application of the Dekati electrical particle sensor (DePS). The DePS, which measures concentrations of submicron aerosol in real time using a diffusion-charging sensor, was evaluated by comparing the results of the concurrent measurements with reference methods at several locations downstream of the diesel-powered equipment. The DePS results were found to correlate well to those obtained by reference methods. However, it was found that dependence of the response on the physical and chemical properties of aerosols necessitates site specifc correlation factors for the targeted matrices. The site-specifc factors for number and mass of diesel aerosols were derived using the results of concurrent measurements with TSI NanoScan, FLIR Airtec, and carbon analyses performed on the concurrently collected flter samples. The results showed that methodology based on compensated DePS measurements would be suitable for continuous monitoring of DPM in underground mining operations. [Description provided by NIOSH]
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ISSN:2524-3462
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Pages in Document:453-461
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Volume:40
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Issue:1
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NIOSHTIC Number:nn:20066604
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Citation:Min Metall Explor 2023 Feb; 40(1):453-461
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Contact Point Address:Arash Habibi, PT Freeport Indonesia, West Papua, Indonesia
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Email:ahabibi@fmi.com
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Federal Fiscal Year:2023
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Peer Reviewed:True
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Source Full Name:Mining, Metallurgy & Exploration
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Main Document Checksum:urn:sha-512:54401105c13b9cb0dd809fbda6346054a75aeef3f2cebb9f5f207e06ac66d3d7d96f54f8714ba5e0e6dc8de6bfdfe9f18bdd2b9d97a8910b46e6125ad11f20f1
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