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Mining Publication: Performance Evaluation of a Dust-Dispersion Model for Haul Trucks
Keywords: Dust measurement instruments Field measurement Measures
Original creation date: January 2003
Authors: WR Reed
Peer Reviewed Journal Article - January 2003
Download PDF Document (2.00 MB)
NIOSHTIC2 Number: 20028295
Trans Soc Min Metall Explor 2004 Jan; 316:163-170
A computer model named the "Dynamic Component Program" (DCP) was specifically designed for predicting the dispersion of dust from haul trucks at surface mines. Validation of the DCP was completed by comparing its results with the results of the ISC3 model and with actual dust measurements taken from two operating mine sites. Comparisons of the field measurements, predictions of the ISC3 model and the predictions of the DCP demonstrate that the results from the DCP represent, on average, an 85% improvement over the ISC3 dust dispersion model results.
Image of publication Performance Evaluation of a Dust-Dispersion Model for Haul TrucksPeer Reviewed Journal Article - January 2003
Download PDF Document (2.00 MB)
NIOSHTIC2 Number: 20028295
Trans Soc Min Metall Explor 2004 Jan; 316:163-170
See Also
Coal Dust Explosibility Meter Evaluation and Recommendations for Application
Differential Pressure Response of 25-mm-Diameter Glass Fiber Filters Challenged with Coal and Limestone Dust Mixtures
Experimental Mine and Laboratory Dust Explosion Research at NIOSH
Measuring the Methane Content of Bituminous Coalbeds
Noise Source Identification on a Horizontal Vibrating Screen
Overlap Probability for Short-Period-Delay Detonators Used in Underground Coal Mining
Research and Evaluation Methods For Measuring Nonroutine Mine Health and Safety Skills: Bibliography
Status of a Tapered Element, Oscillation Microbalance-Based Continuous Respirable Coal Mine Dust Monitor
Technology News 463 - Machine-Mounted Continuous Respirable Dust Monitor
Using Persuasive Messages to Encourage Voluntary Hearing Protection Among Coal Miners
Page last reviewed: September 21, 2012
Page last updated: September 21, 2012
Content source: National Institute for Occupational Safety and Health, Mining Program
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