Presentation Abstract

Session: Exposure Analysis
Tuesday, Jun 07, 2011, 1:00 PM - 3:05 PM
Presentation: 110 - Predicting Inhalation Exposure To Cleaning Products: Comparing A New Two-compartment Model To A Well-mixed Model.
Pres. Time: Tuesday, Jun 07, 2011, 1:00 PM - 3:05 PM
Location: 14
Keyword 1: Volatile Organic Compounds
Keyword 2: Thermal Plume
Keyword 3: Emission
Author(s): C. Matt Earnest; Richard L. Corsi
Abstract: Abstract:
A new two-compartment model for predicting inhalation exposure to toxic chemicals emitted from indoor cleaning products is presented in this paper. Personal air space is treated as distinct from bulk room air. The model accounts for air exchange between the two compartments and outside air, dynamic source characteristics (i.e., the time-varying liquid concentrations and emission rates of pollutants within a mixture), and the characteristics of chemical use (e.g., how frequently a cleaning chemical is applied to a new area). To evaluate the model, experiments were conducted in an environmentally controlled chamber with thermal mannequins used to simulate body positions of individuals engaged in cleaning activities. Photoionization detectors (PIDs) were used to measure time and spatial variations in a VOC emitted from a simplified cleaning product.
High air exchange rates, large volumes and short cleaning events produced the highest ratios of the inner-zone (personal) concentration to the concentrations predicted with a single well-mixed zone model. These ratios ranged from 2.8 to 13.9, which roughly match those from previous monitoring studies
Relevance:
Studies show that the use of cleaning products is related to adverse respiratory health effects in adults ranging from irritation to asthma. However, exposure to these chemicals is poorly understood. The model developed for this study will facilitate an improved understanding of such exposures.
Uncertainty:
Experiments were preformed in duplicate and all instrumentation error was propagated through model calculations and will be reported in the paper.



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