Qian Hua, Fiedler Nancy, Moore Dirk F, Weisel Clifford P
Exposure Science Graduate Program, Graduate School of Biomedical Science, University of Medicine and Dentistry of New Jersey, USA.
Ann Occup Hyg. 2010 Jun;54(4):417-26. doi: 10.1093/annhyg/meq021. Epub 2010 Mar 30.
Exposure to volatile organic compounds (VOCs) from bridge painting was measured in New York City and New Jersey during the summer and fall seasons from 2005 to 2007. The effect of painting activities (paint coating layer, confinement setup, and application method) and meteorological conditions (temperature, humidity, and wind speed) on solvent exposure to aromatic, ketone, ester, and alkane compounds were individually evaluated. Mixed-effect models were used to examine the combination effects of these factors on the air concentration of total VOCs as the individual compound groups were not present in all samples. Air concentration associated with spraying was not affected by meteorological conditions since spraying was done in a confined space, thus reducing their impact on solvent air concentration. The mixed models for brushing and rolling samples included two fixed factors, i.e. application method and temperature, and one random factor, i.e. sampling day. An independent dataset (daily air samples) was used to validate the mixed model constructed for brushing and rolling samples. The regression line of the predicted values and actual measurements had a slope of 1.32 +/- 0.15 for daily brushing and rolling samples, with almost all points being within the 95% confidence bands. The constructed model provides practical approaches for estimating the solvent exposure from brushing and rolling activities among construction painters. An adjusted mean air concentration derived from the activity-specific spray samples was the best estimate for that painting application.
2005年至2007年夏秋季节,在纽约市和新泽西州对桥梁涂装过程中挥发性有机化合物(VOCs)的暴露情况进行了测量。分别评估了涂装活动(涂料涂层、封闭设置和施工方法)以及气象条件(温度、湿度和风速)对芳香族、酮类、酯类和烷烃类化合物溶剂暴露的影响。由于并非所有样品中都存在单个化合物组,因此使用混合效应模型来研究这些因素对总VOCs空气浓度的综合影响。与喷涂相关的空气浓度不受气象条件影响,因为喷涂是在封闭空间内进行的,从而降低了气象条件对溶剂空气浓度的影响。涂刷和滚涂样品的混合模型包括两个固定因素,即施工方法和温度,以及一个随机因素,即采样日。使用一个独立数据集(每日空气样本)对为涂刷和滚涂样品构建的混合模型进行验证。对于每日涂刷和滚涂样品,预测值与实际测量值的回归线斜率为1.32±0.15,几乎所有点都在95%置信区间内。构建的模型为估算建筑油漆工涂刷和滚涂活动中的溶剂暴露提供了实用方法。从特定活动的喷涂样品得出的调整后平均空气浓度是该涂装施工的最佳估计值。