Computer-assisted technique for airborne dust sampling data representativeness and worker's exposure assessment - CAT-ReADS

Nowadays, occupational exposure to airborne dust is still one of the most concerning problems our society should face, since both airborne dust is a common pollutant in almost all the NACE sectors activities, and the occupational exposure quantification is critical. One of the possible causes can be identified in determining the real conditions of dust pollution in the workplaces, attributable to the delicacy of the various phases of acquisition of the measures, and on the variability of operations carried out by workers, affecting the pollutant emission rates. A research project in progress discusses the causes of uncertainty attributable to laboratory and sampling activities, and to the identification of the most appropriate techniques of the results’ representativeness assessment. A recent result is the development of an original Computer-Assisted Technique for Airborne Dust Sampling data representativeness and worker's exposure assessment - CAT-ReADS, MS-Excel Vbasic developed - it supports the companies and external audit technicians, from the setting of the surveys and the laboratory activities to the verification, in a rigorous statistical approach, of compliance/noncompliance of the field measurement results vs the limit values. The resulting workplaces pollution and workers’ exposure assessment are free from subjective simplifications: CAT-ReADS includes various sections of guided selection and data analysis, covering Instruments and their calibration, Recording of environmental parameters and activities carried out by the workers during the samplings, Calculation of concentrations, Calculation of expanded uncertainty, Statistical tests for estimating the probability of exceeding the limit value, both referring – as is common practice- to the mean value, and, in a more cautionary way, to the upper uncertainty values (assuming a confidence level of 95%). The paper provides some examples of the implementation of CAT-ReADS in different production scenarios, and an in-depth discussion of the results.