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首页> 外文期刊>Journal of chemical health & safety >Comparison of exposure measurements to near field-far field modeled results for benzene and base solvents during a cleaning process using plain or 0.1% benzene spiked toluene and xylene
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Comparison of exposure measurements to near field-far field modeled results for benzene and base solvents during a cleaning process using plain or 0.1% benzene spiked toluene and xylene

机译:在使用普通或0.1%苯加标的甲苯和二甲苯进行清洗的过程中,对苯和基础溶剂的暴露测量结果与近场-远场建模结果进行比较

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摘要

It has been reported that the presence of <0.1% benzene in base solvents often used for cleaning is likely to result in exposure concentrations above the current OSHA PEL. This prediction was based upon calculations that depend largely on the concentration of benzene assumed to be present in a solvent mixture. Measurements of exposure during work simulations and more comprehensive modeling studies show that many factors other than the benzene content of the bulk solvent influence personal and area vapor concentrations. This study examines benzene exposure due to trace amounts of benzene in solvents available recently, and whether exposure in excess of the OSHA benzene standard occurs when 10 and 50 mL of base solvents containing up to 0.1% benzene are used during a manual cleaning process in a poorly ventilated room. Breathing zone (BZ) concentrations were measured for benzene, toluene and xylene during repetitions of a cleaning procedure using a small cloth to wipe a metal paint tray with 10 and 50 mL of consumer-grade toluene and xylene alone and toluene spiked with 0.1% benzene. Air samples were collected in the breathing zone (BZ) for 15 min to determine the short-term exposure. Separate 2 hr samples were collected in the BZ and general area to obtain time-weighted average (TWA) exposure concentrations. All samples were analyzed with a GC-FID utilizing NIOSH Method 1501. A near field-far field (NF-FF) model was used in conjunction with Monte Carlo simulation to predict airborne benzene, toluene, and xylene concentrations and to quantify uncertainty in the input parameters of the model. Variables including solvent evaporation time and air movement around the worker during the work activity were analyzed over a range of possible values. The result after 105 iterations of Monte Carlo simulation was a range of possible outcomes and the likelihood that each would occur; these outcomes are compared to the measured airborne concentrations. Cleaning the metal pan with 10-50 mL of toluene or xylene with or without 0.1% benzene did not result in benzene exposures in excess of either the OSHA PEL 8-hr TWA (1.0 ppm) or action level (0.5 ppm). The ratio of predicted or modeled to measured benzene concentration ranged from 0.42 to 2.1. The ratio of predicted or modeled to measured xylene and toluene concentration ranged from 0.92 to 3.7. Application of the NF-FF model under the conditions studied indicates a reasonable degree of reliability in forecasting airborne solvent concentrations under the conditions studied.
机译:据报道,经常用于清洁的基础溶剂中苯的含量<0.1%可能导致暴露浓度超过当前的OSHA PEL。该预测基于计算,该计算在很大程度上取决于假定存在于溶剂混合物中的苯的浓度。在工作模拟和更全面的建模研究过程中进行的接触测量表明,除主要溶剂中的苯含量以外,还有许多因素会影响个人和区域的蒸气浓度。这项研究检查了由于最近可用溶剂中的痕量苯引起的苯暴露,以及在手动清洁过程中使用10和50 mL含0.1%苯的基础溶剂时是否发生超过OSHA苯标准的暴露。通风不良的房间。在重复清洁程序期间,使用一块小布擦拭金属漆盘中的苯,甲苯和二甲苯,分别测量呼吸区(BZ)的浓度,该擦拭布仅用10和50 mL消费级甲苯和二甲苯以及掺有0.1%苯的甲苯来擦拭金属漆盘。在呼吸区(BZ)中收集空气样本15分钟,以确定短期暴露。在BZ和一般区域中分别收集2小时的样本,以获得时间加权平均(TWA)暴露浓度。所有样品均使用NIOSH方法1501用GC-FID分析。近场-远场(NF-FF)模型与蒙特卡罗模拟结合使用,可预测空气中苯,甲苯和二甲苯的浓度,并量化样品中的不确定度。模型的输入参数。在各种可能的值范围内,分析了变量,包括溶剂蒸发时间和工作期间工人周围的空气流动。经过105次蒙特卡洛模拟的迭代后的结果是一系列可能的结果以及每种结果可能发生的可能性。将这些结果与测得的空气中浓度进行比较。用10-50 mL甲苯或二甲苯(含或不含0.1%苯)清洁金属锅,其苯暴露量不会超过OSHA PEL 8小时TWA(1.0 ppm)或作用水平(0.5 ppm)。预测的或模拟的与测得的苯浓度之比为0.42至2.1。预测或建模与测得的二甲苯和甲苯浓度之比为0.92至3.7。 NF-FF模型在所研究条件下的应用表明在所研究条件下预测空气中溶剂浓度的合理程度的可靠性。

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  • 来源
    《Journal of chemical health & safety》 |2012年第6期|3-11|共9页
  • 作者单位

    Veritox,~® Inc., 18372 Redmond-Fall City Rd., Redmond, WA 98052, United States;

    Veritox,~® Inc., 18372 Redmond-Fall City Rd., Redmond, WA 98052, United States;

    Dade Moeller & Associates, 1835 Terminal Dr Ste200, Richland, WA 99352, United States Veritox~® Inc., DBA: GT Engineering, 18372 Redmond-Fall City Rd., Redmond, WA 98052, United States;

    Environmental Profiles, Inc., 8805 Columbia 100 Parkway, Columbia, MD 21045, United States;

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