Modeling population exposure to community noise and air pollution in a large metropolitan area

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• 作者：Wen Qi Gan ; Kathleen McLean ; Michael Brauer ; Sarah A. Chiarello ; Hugh W. Davies ; ^{hugh.davies@ubc.ca}
• 关键词：BC ; Black carbon ; dB(A) ; A-weighted decibels ; IQR ; Inter-quartile range ; Lday ; Annual daytime A-weighted equivalent continuous noise level ; Lden dB(A) ; Annual day-evening-night A-weighted equivalent continuous noise level ; Leq ; day ; 5  ; min ; 5-min daytim
• 刊名：Environmental Research
• 出版年：2012
• 期刊代码：78_00139351
• 类别：env
• 出版时间：July, 2012
• 卷：116
• 期：Complete
• 页码：11-16
• 文件大小：553 K

摘要

Epidemiologic studies have shown that both air pollution and community noise are associated with cardiovascular disease mortality. Because road traffic is a major contributor to these environmental pollutants in metropolitan areas, it is plausible that the observed associations may be confounded by coexistent pollutants. As part of a large population-based cohort study to address this concern, we used a noise prediction model to assess annual average community noise levels from transportation sources in metropolitan Vancouver, Canada. The modeled annual average noise level was 64 (inter quartile range 60-68) dB(A) for the region. This model was evaluated by comparing modeled annual daytime A-weighted equivalent continuous noise levels (L_day) with measured 5-min daytime A-weighted equivalent continuous noise levels (L_{eq,day,5 min}) at 103 selected roadside sites in the study region. On average, L_day was 6.2 (95%CI, 6.0-7.9) dB(A) higher than, but highly correlated (r=0.62; 95%CI, 0.48-0.72) with, L_{eq,day,5 min}. These results suggest that our model-based noise exposure assessment could approximately reflect actual noise exposure in the study region. Overall, modeled noise levels were not strongly correlated with land use regression estimates of traffic-related air pollutants including black carbon, particulate matter with aerodynamic diameter 鈮?.5 渭m (PM_2.5), NO₂ and NO; the highest correlation was with black carbon (r=0.48), whereas the lowest correlation was with PM_2.5 (r=0.18). There was no consistent effect of traffic proximity on the correlations between community noise levels and traffic-related air pollutant concentrations. These results, consistent with previous studies, suggest that it is possible to assess potential adverse cardiovascular effects from long-term exposures to community noise and traffic-related air pollution in prospective epidemiologic studies.