Literature DB >> 18615292

Predicting benzene vapor concentrations with a near field/far field model.

Mark Nicas1, John Neuhaus.   

Abstract

Published data on benzene vapor concentrations in work simulation settings were used to examine the predictive ability of a near field/far field vapor dispersion model with an exponentially decreasing vapor emission rate. A given simulation involved two 15-min periods of applying a known volume of benzene-containing liquid to equipment on a worktable in a room with a measured air exchange rate. Replicate personal breathing zone (15-min time-weighted average, TWA) and room area (1-hr TWA) air samples were collected. In our modeling, the benzene vapor concentration in the near field zone (at the worktable) represented the personal breathing zone exposure level, and the benzene vapor concentration in the far field zone represented the room area concentration. Across 10 simulation combinations of two factors (the mass of benzene applied and the room air exchange rate), the mean of the personal breathing zone exposure levels ranged from 0.2 to 9.9 mg m(-3), and the mean of the room area concentrations ranged from 0.05 to 5.05 mg m(-3). Our model provided reasonably accurate estimates of the measured benzene vapor concentrations. Linear regression of the mean measured personal breathing zone exposure versus the predicted near field concentration yielded slope = 0.93 and r(2) = 0.94; the null hypothesis that the true slope equals one was not rejected (p-value = 0.39). Linear regression of the mean measured room area concentration versus the predicted far field concentration yielded slope = 0.90 and r(2) = 0.94; the null hypothesis that the true slope equals one was not rejected (p-value = 0.20). Other statistical tests showed no significant differences between measured and predicted values. In addition, most predicted concentrations fell within an approximate range of one-half to twofold the respective measured concentrations.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18615292     DOI: 10.1080/15459620802282375

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


  4 in total

1.  Exposure Reconstruction and Risk Analysis for Six Semiconductor Workers With Lymphohematopoietic Cancers.

Authors:  Rachael M Jones; Linda Dell; Craig Torres; Catherine E Simmons; James Poole; Fred W Boelter; Paul Harper
Journal:  J Occup Environ Med       Date:  2015-06       Impact factor: 2.162

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.  Estimating Inhalation Exposure Resulting from Evaporation of Volatile Multicomponent Mixtures Using Different Modelling Approaches.

Authors:  Martin Tischer; Michael Roitzsch
Journal:  Int J Environ Res Public Health       Date:  2022-02-10       Impact factor: 4.614

4.  Application of mathematical models in combination with Monte Carlo simulation for prediction of isoflurane concentration in an operation room theater.

Authors:  Mohammad Javad Zare Sakhvidi; Abolfazl Barkhordari; Maryam Salehi; Shekoofeh Behdad; Hossein Fallahzadeh
Journal:  Ind Health       Date:  2013-08-02       Impact factor: 2.179

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.