JACIII Vol.23 No.5 pp. 823-830
doi: 10.20965/jaciii.2019.p0823


Asymmetric MF-DCCA Method Based on Fluctuation Conduction and its Application in Air Pollution in Hangzhou

Chaohui Xiang, Xiaozhen Hao, Wenhui Wang, and Zhenlong Chen

School of Statistics and Mathematics, Zhejiang Gongshang University
No. 18, Xuezheng Street, Xiasha University Town, Hangzhou 310018, China

Corresponding author

October 24, 2018
January 11, 2019
September 20, 2019
symmetric MF-DCCA, fluctuation conduction, causality, PM2.5

The study of the relationship between the concentration of PM2.5 and the local air quality index (AQI) is significant for the improvement of urban air quality. This study not only considered multifractal cross-correlation but also the fluctuation conduction mechanism. An asymmetric multifractal detrended cross-correlation analysis (MF-DCCA) method based on fluctuation conduction is introduced here to empirically explore the causality and conduction time between air quality factors and PM2.5 concentration. The empirical results indicate the existence of a bidirectional fluctuation conduction effect between PM2.5 and PM10, SO2, and NO2 in Hangzhou, China, with a conduction time of 30 hours; this effect is non-existent between PM2.5 and O3. In addition, there is a unidirectional fractal fluctuation conduction between PM2.5 and CO with a conduction time of 21 hours.

Cite this article as:
C. Xiang, X. Hao, W. Wang, and Z. Chen, “Asymmetric MF-DCCA Method Based on Fluctuation Conduction and its Application in Air Pollution in Hangzhou,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.5, pp. 823-830, 2019.
Data files:
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Last updated on Nov. 19, 2019