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Factors Influencing Mobile Source Particulate Matter Emissions-to-Exposure Relationships in the Boston Urban Area

机译:波士顿市区移动源颗粒物排放与暴露关系的影响因素

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Benefit-cost and regulatory impact analyses often use atmospheric dispersion models with coarse resolution to estimate the benefits of proposed mobile source emission control regulations. This approach may bias health estimates or miss important intra-urban variability for primary air pollutants. In this study, we estimate primary fine particulate matter (PM_(2.5)) intake fractions (iF; the fraction of a pollutant emitted from a source that is inhaled by the population) for each of 23 398 road segments in the Boston Metro Core area to evaluate the potential for intraurban variability in the emissions-to-exposure relationship. We estimate iFs using the CAL3QHCR line source model combined with residential populations within 5000 m of each road segment. The annual average values for the road segments range from 0.8 to 53 per million, with a mean of 12 per million. On average, 46% of the total exposure is realized within 200 m of the road segment, though this varies from 0 to 93% largely due to variable population patterns. Our findings indicate the likelihood of substantial intraurban variability in mobile source primary PM_(2.5) iF that accounting for population movement with time, localized meteorological conditions, and street-canyon configurations would likely increase.
机译:效益成本和法规影响分析通常使用具有较粗分辨率的大气扩散模型来估算提议的移动源排放控制法规的效益。这种方法可能会使健康估计产生偏差,或者错过主要空气污染物在城市内部的重要变异性。在这项研究中,我们估算了波士顿大都会核心区23 398个路段的主要细颗粒物(PM_(2.5))摄入分数(iF;从人口吸入的污染物排放的分数)评估排放与暴露关系中城市内部变化的可能性。我们使用CAL3QHCR线源模型结合每个路段5000 m以内的居住人口来估计iF。道路路段的年平均价值介于每百万个0.8到53之间,平均每百万个12。平均而言,总曝光量的46%在路段的200 m以内实现,尽管由于人口格局的变化,该比例从0到93%不等。我们的研究结果表明,移动源主要PM_(2.5)iF中城市内部大量变化的可能性很可能会随着时间,局部气象条件和街道峡谷构造而增加人口流动。

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