加拿大蒙特利尔挥发性有机化合物环境浓度的空间模拟。

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Environmental Epidemiology Pub Date : 2022-09-14 eCollection Date: 2022-10-01 DOI:10.1097/EE9.0000000000000226
Sara Zapata-Marin, Alexandra M Schmidt, Dan Crouse, Vikki Ho, France Labrèche, Eric Lavigne, Marie-Élise Parent, Mark S Goldberg
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引用次数: 2

摘要

挥发性有机化合物(VOCs)是城市空气污染物复杂混合物的组成部分,可造成各种不利的健康影响。因此,了解它们的空间分布对流行病学研究中的暴露评估很有必要。目的:目的是模拟加拿大蒙特利尔市内五种挥发性有机化合物的测量浓度,建立可用于健康研究的空间预测模型。方法:在2005年至2006年期间,我们在城市130多个地点进行了三次为期两周的监测活动,使用3M 3500有机蒸汽监测仪测量了浓度。使用GC/MSD(气相色谱/质量选择检测器),我们测量了苯、正癸烷、乙苯、己烷和三甲苯的浓度。我们拟合了四种不同的模型,将土地利用回归和地质统计学方法相结合,以解释考虑了土地利用变量后剩余的潜在空间结构。拟合的模型还考虑了不同运动期间空气污染物浓度的可能变化。结果:各挥发性有机化合物的浓度在12月份最高,其中己烷含量最高,其次是乙苯。我们获得了三个运动中VOCs的预测表面和跨运动的平均表面。我们发现高速公路沿线和蒙特利尔东部的一些挥发性有机化合物浓度更高,而蒙特利尔东部是一个高度工业化的地区。结论:每个拟合模型都捕获了每种挥发性有机化合物的空间和跨活动变异性,我们发现不同的挥发性有机化合物需要不同的模型结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada.

Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada.

Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada.

Volatile organic compounds (VOCs) are components of the complex mixture of air pollutants within cities and can cause various adverse health effects. Therefore, it is necessary to understand their spatial distribution for exposure assessment in epidemiological studies.

Objectives: The objective was to model measured concentrations of five VOCs within the city of Montreal, Canada, developing spatial prediction models that can be used in health studies.

Methods: We measured concentrations using 3M 3500 Organic Vapor Monitors, over 2-week periods, for three monitoring campaigns between 2005 and 2006 in over 130 locations in the city. Using GC/MSD (Gas Chromatography/Mass Selective Detector), we measured concentrations of benzene, n-decane, ethylbenzene, hexane, and trimethylbenzene. We fitted four different models that combine land-use regression and geostatistical methods to account for the potential spatial structure that remains after accounting for the land-use variables. The fitted models also accounted for possible variations in the concentration of air pollutants across campaigns.

Results: The highest concentrations for all VOCs were found in December with hexane being the most abundant followed by ethylbenzene. We obtained predicted surfaces for the VOCs for the three campaigns and mean surfaces across campaigns. We found higher concentrations of some VOCs along highways and in the Eastern part of Montreal, which is a highly industrialized area.

Conclusions: Each of the fitted models captured the spatial and across-campaigns variability for each VOC, and we found that different VOCs required different model structures.

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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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