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Source apportionment of PM2.5 in Beijing using positive matrix factorization

机译:基于正矩阵分解的北京市PM2.5污染源分配

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摘要

In order to do source apportionment of PM2.5 and source trajectories, particle induced X-ray emission and energy disperse-X ray fluorescence were used to analyze chemical composition of samples. Five major sources have been identified by using positive matrix factorization. Source trajectories have been determined by conditional probability function and the potential source contribution function. Extreme events, such as sandstorms, have been identified and traced.
机译:为了进行PM2.5的源分配和源轨迹,使用了粒子诱导X射线发射和能量分散X射线荧光来分析样品的化学成分。通过使用正矩阵分解确定了五种主要来源。源轨迹由条件概率函数和潜在源贡献函数确定。沙尘暴等极端事件已被识别和追踪。

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