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Multicellular model for contaminant dispersion and ventilation effectiveness with application for oxygen deficiency in a confined space.
Am Ind Hyg Assoc J 1990 Feb; 51(2):70-78
An investigation was conducted to develop multicellular computer models for contaminant dispersion in a confined space and to evaluate the multicellular models against experimental data for oxygen deficiency in a confined space (CS) model. The multicellular contaminant dispersion modeling method used performed well in predicting contaminant concentration within a 3-D space. The dispersion model worked well for different contamination release characteristics such as purging, steady state, and variable rate for the test cases of oxygen deficiency in the CS model. The approach involved designing a cell structure to accommodate the shape of the 3-D space and the patterns of ventilation airflow observed in the test cases. The major advantage of multicellular models was their ability to predict localized contaminant concentrations. The results demonstrated that a single value of the dispersion coefficient provided reasonably good predictions for each test case involving oxygen deficiency in a cubical CS model. The authors conclude that eventually multicellular models may be applied in actual workplaces. For this to be realized, measurements of airflow and determinations of dispersion coefficients in the workplace itself will be needed.
NIOSH-Publication; NIOSH-Grant; Control-technology; Workplace-studies; Confined-spaces; Computer-models; Environmental-contamination; Work-environment; Sampling-methods; Air-contamination
Environmental & Indust Health University of Michigan 1420 Washington Heights Ann Arbor, MI 48109-2029
Issue of Publication
American Industrial Hygiene Association Journal
University of Michigan at Ann Arbor, Ann Arbor, Michigan
Page last reviewed: May 5, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division