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

DOI Web Site Web Site 4 References
  • Xiang Chaohui
    School of Statistics and Mathematics, Zhejiang Gongshang University
  • Hao Xiaozhen
    School of Statistics and Mathematics, Zhejiang Gongshang University
  • Wang Wenhui
    School of Statistics and Mathematics, Zhejiang Gongshang University
  • Chen Zhenlong
    School of Statistics and Mathematics, Zhejiang Gongshang University

Search this article

Description

<p>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.</p>

Journal

References(4)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top