Industry/University Cooperative Research: Interpretation ofAtmospheric Trace-Element Measurements in Southwest Pennsylvania

这个项目解决了一个大电流的大气化学问题 兴趣：在多大程度上可以将当地观察到的 污染物的负担，无论是在区域方面， 还是来源型起源 通过将每天采集的化学数据 在受体地点与伴随的气象变量，这 一个新项目将应用统计技术， 污染物种类的浓度及其大气迁移 模式和遥远的起源。 用于解析远程源 该项目旨在减少当地沉积的污染物， 确定污染元素的相对浓度模式， 显示出不同环境中微量元素排放的特征 区域性来源。 这种方法得到了现有 与特定类型相关的某些“标记”元素的知识 的来源。 统计分析的结构是揭示分组 化学和物理元素特征的来源类型。

This project addresses an atmospheric chemical problem of great current interest: To what extent is it possible to attribute locally observed pollutant burdens to their remote origins, whether in terms of regional or source-type origins? By associating day-to-day chemical data taken at the receptor sites with concomitant meteorological variables, this new project will apply statistical techniques in an effort to correlate concentrations of pollutant species with their atmospheric transport patterns and remote origins. For resolving the remote source contributions to locally deposited pollutants, the project seeks to identify relative concentration patterns of pollutant elements that can be shown to be characteristic of trace element emissions in different types of regional sources. This approach is aided by existing knowledge of certain "marker" elements associated with particular types of sources. The statistical analysis is structured to reveal groupings of chemical and physical elements characteristic of source types.