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A new approach for evaluating regional exposure to particulate matter emissions from motor vehicles

机译:一种评估区域内机动车颗粒物排放暴露的新方法

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Exposure to fine particulate matter from vehicle exhaust is associated with increased health risk. This study develops a new approach for creating spatially detailed regional maps of fine particulate matter concentration from vehicle exhaust using a dispersion model to better evaluate these risks. The spatial extent, diurnal, and seasonal patterns of concentration fields across Los Angeles County, California are evaluated and population exposure and exposure equity by race and income are investigated. The results demonstrate how this modeling approach can create new knowledge about vehicle emissions exposure. This approach also provides a method for proactively screening out regional plans, or specific projects within these plans, that are likely to cause air quality concerns. A proactive and regional air quality assessment can identify potential problems earlier in the planning process and a wider range of solutions, saving time, money and protecting public health. The detailed concentration maps can also be used to improve the siting of regulatory air quality monitors and provide more accurate exposure data for epidemiology studies.
机译:车辆排气中暴露于细颗粒物会增加健康风险。这项研究开发了一种新方法,该方法可以使用分散模型来创建来自车辆尾气的细颗粒物浓度的空间详细区域地图,以更好地评估这些风险。评估了加利福尼亚州洛杉矶县的浓度场的空间范围,昼夜和季节性模式,并按种族和收入调查了人口暴露和暴露公平。结果证明了这种建模方法如何能够创建有关车辆排放暴露的新知识。这种方法还提供了一种主动筛选可能引起空气质量问题的区域计划或这些计划中的特定项目的方法。积极主动的区域空气质量评估可以在规划过程中及更广泛的解决方案中及早发现潜在问题,从而节省时间,金钱并保护公共健康。详细的浓度图还可用于改善监管空气质量监测仪的位置,并为流行病学研究提供更准确的暴露数据。

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