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Populations potentially exposed to traffic-related air pollution in seven world cities

机译:在七个世界城市中可能遭受与交通相关的空气污染的人口

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Traffic-related air pollution (TRAP) likely exerts a large burden of disease globally, and in, many places, traffic is increasing dramatically. The impact, however, of urban form on the portion of population potentially exposed to TRAP remains poorly understood. In this study, we estimate portions of population potentially exposed to TRAP across seven global cities of various urban forms. Data on population distributions and road networks were collected from the best available sources in each city and from remote sensing analysis. Using spatial mapping techniques, we first overlaid road buffers onto population data to estimate the portions of population potentially exposed for four plausible impact zones. Based on a most likely scenario with impacts from highways up to 300 meters and major roadways up to 50 meters, we identified that the portions of population potentially exposed for the seven cities ranged from 23 to 96%. High-income North American cities had the lowest potential exposure portions, while those in Europe had the highest. Second, we adjusted exposure zone concentration levels based on a literature suggested multiplier for each city using corresponding background concentrations. Though Beijing and Mexico City did not have the highest portion of population exposure, those in their exposure zones had the highest levels of exposure. For all seven cities, the portion of population potentially exposed was positively correlated with roadway density and, to a lesser extent, with population density. These analyses suggest that urban form may influence the portion of population exposed to TRAP and vehicle emissions and other factors may influence the exposure levels. Greater understanding of urban form and other factors influencing potential exposure to TRAP may help inform interventions that protect public health. (C) 2014 Elsevier Ltd. All rights reserved.
机译:与交通有关的空气污染(TRAP)可能在全球范围内造成很大的疾病负担,并且在许多地方,交通正在急剧增加。然而,关于城市形态对可能遭受TRAP影响的人口比例的影响仍然知之甚少。在这项研究中,我们估计了七种不同城市形式的全球城市中可能暴露于TRAP的人口比例。人口分布和道路网络的数据是从每个城市的最佳可用资源以及遥感分析中收集的。使用空间映射技术,我们首先将道路缓冲区覆盖到人口数据上,以估计可能出现的四个影响区域的人口部分。根据最有可能受到300米高的公路和50米高的主要道路的影响的情景,我们确定了七个城市潜在暴露的人口比例为23%至96%。高收入的北美城市的潜在暴露比例最低,而欧洲的城市最高。其次,我们根据文献建议的乘数,使用相应的背景浓度来调整每个城市的暴露区浓度水平。尽管北京和墨西哥城的人口暴露比例最高,但其暴露区域的人口暴露水平最高。对于所有七个城市,潜在暴露的人口比例与道路密度呈正相关,在较小程度上与人口密度呈正相关。这些分析表明,城市形式可能会影响TRAP和汽车排放的人口比例,而其他因素可能会影响暴露水平。对城市形态和其他可能影响TRAP暴露的其他因素的更多了解可能有助于为保护公众健康的干预措施提供信息。 (C)2014 Elsevier Ltd.保留所有权利。

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