Wd. Shade et Ma. Jayjock, MONTE-CARLO UNCERTAINTY ANALYSIS OF A DIFFUSION-MODEL FOR THE ASSESSMENT OF HALOGEN GAS EXPOSURE DURING DOSING OF BROMINATORS, American Industrial Hygiene Association journal, 58(6), 1997, pp. 418-424
Monte Carlo simulation was incorporated into a diffusion-based exposur
e assessment model for the estimation of worker exposure to halogen ga
ses during dosing of 500-lb sacks of a bromine-based biocide (BCDMH) i
nto brominators. Indoor and outdoor dosing scenarios were modeled for
small and targe brominators. The diffusion model used describes a conc
entration gradient of halogen as a function of distance and time from
the source. instead of ascribing worst-case single point value estimat
es to the variables used in the diffusion model, Monte Carlo simulatio
n was used to describe a distribution of values for each appropriate m
odel variable. Using a personal computer and Monte Carlo simulation so
ftware, 10,000 iterations of the diffusion model were performed for fo
ur different dosing scenarios using random and independent samples fro
m the distributions entered. The corresponding output distributions of
predicted exposures were then calculated and displayed graphically fo
r each scenario. The results_of the Monte Carte simulation predict tha
t outdoor dosing of either small or large brominators with BCDMH is hi
ghly unlikely to result in an exceedance of the working occupational e
xposure limit for total halogen. In most ambient wind speed conditions
, diffusion prevents appreciable airborne exposure to workers in the i
mmediate vicinity of the brominator, Although relatively uncommon, dos
ing of brominators indoors in the assumed absence of local exhaust ven
tilation may generate airborne concentrations of total halogen that ex
ceed the working short-term occupational exposure limit. Although very
limited and inconclusive, field trial monitoring of BCDMH transfer op
erations indoors resulted in halogen concentrations well within the di
stribution of concentrations predicted by the Monte Carlo simulation o
f the diffusion model.