Literature DB >> 16595380

Estimating benzene exposure at a solvent parts washer.

Mark Nicas1, Marc J Plisko, John W Spencer.   

Abstract

A mathematical model is described for estimating benzene exposure at a parts washer using petroleum distillates solvent containing benzene. The basic assumptions are that the benzene mass emission rate exponentially decreases over time, and that the air above the parts washer basin to which a worker is exposed is part of a well-mixed air zone termed the near field (relative to the source location). Two previously conducted simulations of the parts washer process are described. A single 1-hour time-weighted average (TWA) benzene concentration was measured during Simulation #1, and two 4-hour TWA benzene concentrations were measured during Simulation #2. The initial benzene concentrations in the solvents were known, and the exponential loss rate constants were estimated from subsequent determinations of the benzene concentrations. Values for the interzonal airflow rate were estimated based on the conceptual geometry of the near field zone and sparse information on air speed near the parts washers. Minimum values for the room supply/exhaust air rate were estimated based on the room volumes and ventilation conditions. The modeled benzene concentrations were within a multiplicative range of one-half to twofold the measured concentrations. Uncertainty in a model estimate was quantified by Monte Carlo analysis; the distributions of model estimates exhibited coefficients of variation of approximately 40%. Issues related to uncertainty in exposure estimates made by mathematical modeling are discussed.

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Year:  2006        PMID: 16595380     DOI: 10.1080/15459620600637390

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  5 in total

1.  Bayesian modeling of exposure and airflow using two-zone models.

Authors:  Yufen Zhang; Sudipto Banerjee; Rui Yang; Claudiu Lungu; Gurumurthy Ramachandran
Journal:  Ann Occup Hyg       Date:  2009-04-29

2.  Risk assessment of occupational exposure to heavy metal mixtures: a study protocol.

Authors:  Fatma Omrane; Imed Gargouri; Moncef Khadhraoui; Boubaker Elleuch; Denis Zmirou-Navier
Journal:  BMC Public Health       Date:  2018-03-05       Impact factor: 3.295

3.  Long-term metal fume exposure assessment of workers in a shipbuilding factory.

Authors:  Ying-Fang Wang; Yu-Chieh Kuo; Lin-Chi Wang
Journal:  Sci Rep       Date:  2022-01-17       Impact factor: 4.379

4.  Covid-19 Exposure Assessment Tool (CEAT): Easy-to-use tool to quantify exposure based on airflow, group behavior, and infection prevalence in the community.

Authors:  Brian J Schimmoller; Nídia S Trovão; Molly Isbell; Chirag Goel; Benjamin F Heck; Tenley C Archer; Klint D Cardinal; Neil B Naik; Som Dutta; Ahleah Rohr Daniel; Afshin Beheshti
Journal:  medRxiv       Date:  2022-03-16

5.  COVID-19 Exposure Assessment Tool (CEAT): Exposure quantification based on ventilation, infection prevalence, group characteristics, and behavior.

Authors:  Brian J Schimmoller; Nídia S Trovão; Molly Isbell; Chirag Goel; Benjamin F Heck; Tenley C Archer; Klint D Cardinal; Neil B Naik; Som Dutta; Ahleah Rohr Daniel; Afshin Beheshti
Journal:  Sci Adv       Date:  2022-09-30       Impact factor: 14.957

  5 in total

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