SOURCE APPORTIONMENT OF AMBIENT PARTICLES IN STEUBENVILLE, OH USING SPECIFIC ROTATION FACTOR-ANALYSIS
SOURCE APPORTIONMENT OF AMBIENT PARTICLES IN STEUBENVILLE, OH USING SPECIFIC ROTATION FACTOR-ANALYSIS
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DOI：
10.1016/0004-6981(87)90313-1
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发表时间：
1987-01-01
影响因子：
5
通讯作者：
SPENGLER, JD
中科院分区：
文献类型：
--
作者：
KOUTRAKIS, P;SPENGLER, JD
一种统计方法，比旋度因子分析（SRFA），已开发出识别和分配环境空气污染物的来源。为了增加源示踪剂元素的统计权重，该技术基于协方差矩阵的分析。得到的特征向量倾斜旋转，以最大限度地提高相应的源（比旋转）的示踪剂量的负载。源的贡献和配置文件估计回归元素和质量浓度的因素负荷。SRFA技术解决主要气溶胶源，并确定其配置文件和贡献在受体网站的能力证明了它的一个子集的细颗粒元素和质量浓度数据从斯图本维尔，OH。
A statistical approach, Specific Rotation Factor Analysis (SRFA), has been developed to identify and apportion sources of ambient air pollutants. To increase the statistical weight of the source tracer elements, this technique is based on the analysis of the covariance matrix. The obtained eigenvectors are obliquely rotated in order to maximize the loadings of the tracer quantities of the corresponding source (specific rotations). Source contributions and profiles are estimated by regressing elemental and mass concentrations on the factor loadings. The abilitly of the SRFA technique to resolve major aerosol sources and determine their profiles and contributions at the receptor site is demonstrated by applying it to a subset of fine particle elemental and mass concentration data from Steubenville, OH.