A comparison of principal components using TPCA and nonstationary principal component analysis on daily air-pollutant concentration series

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• 作者：Chenhua Shen ; ^{shenandchen01@163.com}
• 关键词：Traditional principal component analysis (TPCA) ; Nonstationary principal component analysis (NSPCA) ; Air-pollutant concentration series ; Principal components ; Detrended cross-correlation analysis (DCCA)
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：467
• 期：Complete
• 页码：453-464
• 全文大小：1335 K
• 卷排序：467

文摘

Nonstationary principal component analysis is utilized to determine principal components of air pollutants. Significant difference between two results by TPCA and NSPCA is revealed. Physical mechanism of cross-correlation between O33 and NO22 at various timescales is discussed.