Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance upgrade on Thursday 4th of May 2017 from 8.00am to 9.00am (BST).

During this time our websites will be offline temporarily. If you have any questions please use the feedback button on this page. We apologise for any inconvenience this might cause and thank you for your patience.


Issue 9, 2012
Previous Article Next Article

Statistical modeling of crystalline silica exposure by trade in the construction industry using a database compiled from the literature

Author affiliations

Abstract

A quantitative determinants-of-exposure analysis of respirable crystalline silica (RCS) levels in the construction industry was performed using a database compiled from an extensive literature review. Statistical models were developed to predict work-shift exposure levels by trade. Monte Carlo simulation was used to recreate exposures derived from summarized measurements which were combined with single measurements for analysis. Modeling was performed using Tobit models within a multimodel inference framework, with year, sampling duration, type of environment, project purpose, project type, sampling strategy and use of exposure controls as potential predictors. 1346 RCS measurements were included in the analysis, of which 318 were non-detects and 228 were simulated from summary statistics. The model containing all the variables explained 22% of total variability. Apart from trade, sampling duration, year and strategy were the most influential predictors of RCS levels. The use of exposure controls was associated with an average decrease of 19% in exposure levels compared to none, and increased concentrations were found for industrial, demolition and renovation projects. Predicted geometric means for year 1999 were the highest for drilling rig operators (0.238 mg m−3) and tunnel construction workers (0.224 mg m−3), while the estimated exceedance fraction of the ACGIH TLV by trade ranged from 47% to 91%. The predicted geometric means in this study indicated important overexposure compared to the TLV. However, the low proportion of variability explained by the models suggests that the construction trade is only a moderate predictor of work-shift exposure levels. The impact of the different tasks performed during a work shift should also be assessed to provide better management and control of RCS exposure levels on construction sites.

Graphical abstract: Statistical modeling of crystalline silica exposure by trade in the construction industry using a database compiled from the literature

Back to tab navigation
Please wait while Download options loads

Supplementary files

Publication details

The article was received on 06 Jun 2012, accepted on 23 Jul 2012 and first published on 08 Aug 2012


Article type: Paper
DOI: 10.1039/C2EM30443K
Citation: J. Environ. Monit., 2012,14, 2512-2520
  •   Request permissions

    Statistical modeling of crystalline silica exposure by trade in the construction industry using a database compiled from the literature

    J. Sauvé, C. Beaudry, D. Bégin, C. Dion, M. Gérin and J. Lavoué, J. Environ. Monit., 2012, 14, 2512
    DOI: 10.1039/C2EM30443K

Search articles by author