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首页> 外文期刊>International Journal of Environmental Research and Public Health >Predictors of Indoor Air Concentrations in Smoking and Non-Smoking Residences
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Predictors of Indoor Air Concentrations in Smoking and Non-Smoking Residences

机译:吸烟和非吸烟住宅中室内空气浓度的预测因子

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摘要

Indoor concentrations of air pollutants (benzene, toluene, formaldehyde, acetaldehyde, acrolein, nitrogen dioxide, particulate matter, elemental carbon and ozone) were measured in residences in Regina, Saskatchewan, Canada. Data were collected in 106 homes in winter and 111 homes in summer of 2007, with 71 homes participating in both seasons. In addition, data for relative humidity, temperature, air exchange rates, housing characteristics and occupants’ activities during sampling were collected. Multiple linear regression analysis was used to construct season-specific models for the air pollutants. Where smoking was a major contributor to indoor concentrations, separate models were constructed for all homes and for those homes with no cigarette smoke exposure. The housing characteristics and occupants’ activities investigated in this study explained between 11% and 53% of the variability in indoor air pollutant concentrations, with ventilation, age of home and attached garage being important predictors for many pollutants.
机译:在加拿大萨斯喀彻温省里贾纳的住宅中测量了室内空气污染物(苯,甲苯,甲醛,乙醛,丙烯醛,二氧化氮,颗粒物,元素碳和臭氧)的浓度。数据收集于冬季的106户房屋和2007年夏季的111户房屋,两个季节都有71户房屋参与。此外,还收集了有关相对湿度,温度,空气交换速率,住房特征和居民在采样过程中活动的数据。多元线性回归分析用于构建针对特定季节的空气污染物模型。如果吸烟是导致室内浓度升高的主要因素,那么将为所有房屋和不接触香烟的房屋建立单独的模型。本研究调查的住房特征和居住者活动解释了室内空气污染物浓度变化的11%至53%,其中通风,房屋的年龄和附设的车库是许多污染物的重要预测因子。

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