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Application and comparison of two statistical trajectory techniques for identification of source regions of atmospheric aerosol species

机译:两种统计轨迹技术在大气气溶胶物种源区识别中的应用与比较

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Two approaches for identification of source locations and preferred transport pathways of atmospheric particulate trace elements and aerosol species are investigated, namely, versions of the potential source contribution function method (PSCF) and the concentration field method (CF). Both methods are based on combining chemical data with calculated air parcel backward trajectories. The two methods are applied to four multi-species multi-annual concentration time series measured at sites in Finland, Norway, and Israel. A non-parametric bootstrap technique is used to estimate the statistical significance of the calculated PSCF values. It is found that the methods agree well with each other and correctly identify known emission sources. Examples of applying the methods are presented, mainly for the site in Finland.
机译:研究了两种识别大气颗粒物微量元素和气溶胶物质的来源位置和首选运输途径的方法,即潜在来源贡献函数法(PSCF)和浓度场方法(CF)的版本。两种方法都基于将化学数据与计算出的空气包后退轨迹相结合。这两种方法适用于在芬兰,挪威和以色列的站点测量的四个多物种多年期浓度时间序列。非参数自举技术用于估计所计算的PSCF值的统计显着性。发现这些方法彼此很好地吻合并且正确地识别了已知的排放源。给出了应用方法的示例,主要针对芬兰的站点。

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