Advanced REACH Tool (ART): calibration of the mechanistic model.

Jody Schinkel, Nicholas Warren, Wouter Fransman, Martie van Tongeren, Patricia McDonnell, Eef Voogd, John W Cherrie, Martin Tischer, Hans Kromhout, Erik Tielemans

TNO Quality and Safety, PO Box 360, 3700 AJ, Zeist, The Netherlands.

Journal Article: Journal of Environmental Monitoring (impact factor: 2.23). 03/2011; 13(5):1374-82. DOI: 10.1039/c1em00007a

Abstract

The mechanistic model of the Advanced Reach Tool (ART) provides a relative ranking of exposure levels from different scenarios. The objectives of the calibration described in this paper are threefold: to study whether the mechanistic model scores are accurately ranked in relation to exposure measurements; to enable the mechanistic model to estimate actual exposure levels rather than relative scores; and to provide a method of quantifying model uncertainty. Stringent data quality guidelines were applied to the collated data. Linear mixed effects models were used to evaluate the association between relative ART model scores and measurements. A random scenario and company component of variance were introduced to reflect the model uncertainty. Stratified analyses were conducted for different forms of exposure (abrasive dust, dust, vapours and mists). In total more than 2000 good quality measurements were available for the calibration of the mechanistic model. The calibration showed that after calibration the mechanistic model of ART was able to estimate geometric mean (GM) exposure levels with 90% confidence for a given scenario to lie within a factor between two and six of the measured GM depending upon the form of exposure.

Source: PubMed

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Keywords

2000 good quality measurements
 
abrasive dust
 
Advanced Reach Tool
 
collated data
 
company component
 
different forms
 
different scenarios
 
estimate actual exposure levels
 
exposure measurements
 
given scenario
 
Linear mixed effects models
 
mechanistic model
 
mechanistic model scores
 
model uncertainty
 
quantifying model uncertainty
 
random scenario
 
relative ART model scores
 
relative ranking
 
Stratified analyses
 
Stringent data quality guidelines