ISSN:
0934-0866
Keywords:
Chemistry
;
Industrial Chemistry and Chemical Engineering
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
,
Process Engineering, Biotechnology, Nutrition Technology
Notes:
The effect of coincidence errors on the accuracy of fineparticle profile characterization of respirable dust hazard by Image Analysis procedures is discussed. Monte Carlo routines are used to characterize the level of clustering that can occur in a field of view from random chance. The effectiveness of some image processing strategies used to separate touching components of visible clusters are discussed. Monte Carlo routines are also used to explore at what level of space occupancy a monosized population of dust fineparticles being deposited at random has no significant level of stochastic clustering. These studies demonstrate that if reliable information on dust hazards is to be forthcoming from image analysis studies of the deposited dust deposition, measurement routines must change radically from those in current use. It is also pointed out that interpretive uncertainties associated with many previous studies of dust levels to which industrial workers have been exposed may invalidate experimental data reported from the workplace.
Additional Material:
12 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/ppsc.19920090113
