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Estimates of Urban Excess in PM_(2.5) Speciated Aerosol Concentrations Using the CSN and IMPROVE Networks

机译:使用CSN和IMPROVE网络估算PM_(2.5)指定气溶胶浓度中的城市过量

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The spatial patterns and magnitudes of urban excess differed considerably depending on species. Urban excess estimates were lowest for AS and greatest for LAC, reflecting differences in the sources of the aerosols (e.g., primary versus secondary) as well as their distance from sources. However, the spatial extent of the impacts of LAC was the lowest of all species. In contrast, the spatial patterns in urban excess associated with AS and OC were more regional in extent, especially in the eastern United States, although impacts from local sources were also apparent. While this analysis was simplistic in approach and subject to uncertainty, it provides estimates of the relative magnitude of local versus regional contributions to aerosol concentrations and subsequently improves our understanding of the impacts of urban sources and transport into remote regions and their influence on regional background concentrations.
机译:城市过剩的空间格局和规模因物种而异。城市空气过剩估计值对于AS而言最低,对于LAC而言最大,反映出气溶胶来源(例如主要和次要)的差异以及它们与来源的距离。但是,LAC影响的空间范围是所有物种中最低的。相比之下,与AS和OC相关的城市过剩的空间格局在更大程度上是区域性的,特别是在美国东部,尽管本地来源的影响也很明显。尽管此分析方法过于简单且存在不确定性,但它提供了本地与区域对气溶胶浓度贡献的相对大小的估计值,并随后增进了我们对城市源和向偏远地区运输的影响及其对区域背景浓度影响的理解。

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