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Application of receptor modeling methods

机译:受体建模方法的应用

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The use of atmospheric compositional data for the identification and apportionment of sources has been ongoing for more than 40 years. Beginning in the 1960s, it was recognized that data analysis techniques could be applied to data and resolve combination of constituents that represent sources. In the late 1970s, these data analysis tools came to be called Receptor Models. This paper traces the early history of receptor models through those early papers and provides a historical introduction to the paper in this special issue showing the state of the art in the field and the application of these modern tools to a variety of atmospheric data.
机译:40多年来,一直在使用大气成分数据进行源的识别和分配。从1960年代开始,人们认识到可以将数据分析技术应用于数据并解析代表源的组成部分的组合。在1970年代后期,这些数据分析工具被称为Receptor Models。本文通过这些早期论文追溯了受体模型的早期历史,并对该期刊进行了历史性介绍,展示了该领域的最新技术以及这些现代工具在各种大气数据中的应用。 p>

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