Jacobs Technology Inc., 109 TW Alexander Dr., RTP, NC 27711, USA.
U.S. Environmental Protection Agency, Office of Research and Development, 109 TW Alexander Dr., RTP, NC 27711, USA.
Sci Total Environ. 2020 May 1;715:136979. doi: 10.1016/j.scitotenv.2020.136979. Epub 2020 Jan 30.
With increasing population, rapid urbanization, and increased migration to cities, the local impacts of increasing transportation and industrial-related air pollution are of growing concern worldwide. Elevated air pollution concentrations near these types of sources have been linked to adverse health effects including acute and chronic respiratory and cardiovascular diseases. Mobile monitoring has proven to be a useful technique to characterize spatial variability of air pollution in urban areas and pollution concentration gradients from specific sources. A study was conducted in the Kansas City, Kansas (USA) metropolitan area using mobile monitoring to characterize the spatial variability and gradients of air pollutants to identify the contribution of multiple sources on community-level air quality in a complex urban environment. Measurements focused on nitrogen dioxide (NO), black carbon (BC), and ultrafine particulate matter (UFP). Mobile monitoring showed that median concentrations of these pollutants ranged by up to a factor of three between the communities, with individual measurements ranging over an order of magnitude within the community. Evaluating these air quality measurements with wind direction data highlighted the influence of specific and combinations of air pollution sources on these elevated concentrations, which can provide valuable information to environmental and public health officials in prioritizing and implementing cost-effect air quality management strategies to reduce exposures for urban populations.
随着人口的增加、城市化的快速发展以及向城市的移民增加,交通和工业相关的空气污染对当地的影响在全球范围内引起了越来越多的关注。在这些类型的污染源附近,空气污染浓度的升高与包括急性和慢性呼吸道和心血管疾病在内的不良健康影响有关。移动监测已被证明是一种有用的技术,可以描述城市地区空气污染的空间变异性和污染浓度梯度,以确定特定来源对复杂城市环境中社区级空气质量的贡献。在美国堪萨斯城堪萨斯州(USA)大都市区进行了一项研究,使用移动监测来描述空气污染物的空间变异性和梯度,以确定多种来源对复杂城市环境中社区级空气质量的贡献。测量重点是二氧化氮(NO)、黑碳(BC)和超细颗粒物(UFP)。移动监测显示,这些污染物的中位数浓度在社区之间相差高达三倍,而社区内的个别测量值相差一个数量级。用风向数据评估这些空气质量测量值突出了特定和组合空气污染源对这些升高浓度的影响,这可以为环境和公共卫生官员提供有价值的信息,以便在优先考虑和实施具有成本效益的空气质量管理策略以减少城市人口暴露方面。