title: A study of personal and area airborne asbestos concentrations during asbestos abatement: a statistical evaluation of fibre concentration data.
abstract: Data were collected and analysed on airborne concentrations of asbestos generated by abatement of different asbestos-containing materials using various removal practices. Airborne concentrations of asbestos are dramatically variable among the types of asbestos-containing material being abated. Abatement practices evaluated in this study were removal of boiler/pipe insulation in a crawl space, ceiling tile, transite, floor tile/mastic with traditional methods, and mastic removal with a high-efficiency particulate air filter blast track (shot-blast) machine. In general, abatement of boiler and pipe insulation produces the highest airborne fibre levels, while abatement of floor tile and mastic was observed to be the lowest. A comparison of matched personal and area samples was not significantly different, and exhibited a good correlation using regression analysis. After adjusting data for outliers, personal sample fibre concentrations were greater than area sample fibre concentrations. Statistical analysis and sample distribution of airborne asbestos concentrations appear to be best represented in a logarithmic form. Area sample fibre concentrations were shown in this study to have a larger variability than personal measurements. Evaluation of outliers in fibre concentration data and the ability of these values to skew sample populations is presented. The use of personal and area samples in determining exposure, selecting personal protective equipment and its historical relevance as related to future abatement projects is discussed.
authors.affiliation: Envirosafe Training and Consultants, Pittsburgh, PA 15239, USA.
authors.forename: J H
authors.initials: JH
authors.lastname: Lange
authors.forename: P R
authors.initials: PR
authors.lastname: Lange
authors.forename: T K
authors.initials: TK
authors.lastname: Reinhard
authors.forename: K W
authors.initials: KW
authors.lastname: Thomulka
mesh_terms: D000395:Air Pollutants, Occupational; D001194:Asbestos; D006801:Humans; D019016:Mineral Fibers; D012044:Regression Analysis
chemical_list: D000395:Air Pollutants, Occupational; D019016:Mineral Fibers; D001194:Asbestos