Examination of the Mathematical Models Used in Atmospheric Source Apportionment Studies

在过去的二十年里，越来越多地使用 用多元素分析方法表征空气中 颗粒物和收集的降水。 与 这些大型多变量数据集的可用性和新的 多变量统计方法，已经取得了实际的， 随着计算机体积和速度的不断增加， 有更多的机会提取有关大气的信息， 从表征收集的颗粒的数据中进行处理， 降水 这项正在进行的研究的最初目的是 计划是继续审查统计数据， 与源识别和质量相关的问题 城市气溶胶的分布。 在目前的赠款期间， 在此期间，该计划已将重点转向更大规模 现象以及统计方法的发展和检验 从更大的样本中提取信息 空间和时间尺度 具体而言，PI建议 验证潜在源贡献函数（PSCF） 分析和总位源贡献函数（TPSCF） 分析技术通过将PSCF应用于小规模数据 设置并将PSCF应用于跨北美跟踪器 实验（ANATEX）数据，其中的位置和数量 排放源是已知的，研究和进一步制定三个- 通过应用现有方法进行建模， 额外的数据集和对变更的调查， 可能是这些方法在存在约束时所必需的， 以及经验正交函数及其 用于研究臭氧传输。

During the past 2 decades, there has been increasing use of multielemental analytical methods to characterize airborne particulate matter and collected precipitation. With the availability of these large multivariate data sets and new multivariate statistical methods that have been made practical by the continuing increases in computer size and speed, there is an enhanced opportunity to extract information about atmospheric processes from data characterizing collected particles or precipitation. The original objective of this on-going research program was to continue the examination of the statistical problems associated with the source identification and mass apportionment of urban aerosols. During the current grant period, the program has changed its emphasis toward larger scale phenomena and the development and testing of statistical methods to extract information from analyzed samples obtained on a larger spatial and temporal scale. Specifically, the PI proposes to validate the Potential Source Contribution Function (PSCF) analysis and Total Potential Source Contribution Function (TPSCF) analysis Techniques both by applying PSCF to small-scale data sets and applying PSCF to the Across North America Tracer Experiment (ANATEX) data where the location and quantities of source emissions are known, to study and further develop three- way modeling via the application of existing methods to additional data sets and an investigation into alterations that may be necessary to these methods in the presence of constraints, and the further study of empirical orthogonal functions and their use in studying ozone transport.