Coupling detrended fluctuation analysis of the relationship between PM2.5 concentration and weather elements

Chen Zhang, Xiaofeng Wang, Shengbing Chen, Le Zou and Chao Tang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 531, issue C

Abstract: PM2.5 pollution in China is getting worse. The relationship between PM2.5 concentration and weather elements exhibits complex non-linear feature. Therefore, it is very important to study the sophisticated mathematical and nonlinear method about the relationship between PM2.5 concentration and weather elements. Coupling detrended fluctuation analysis (CDFA) method can reveal the multifractal properties of more than two series. The coupled correlations between PM2.5 concentration and weather elements in Hangzhou and Guangzhou are explored by CDFA. We find that coupled correlations are not only multifractal but also anti-persistent. Compared with Guangzhou, Hangzhou has stronger correlations. Both long-range correlation and fat-tailed distribution can cause the coupled multifractality. and the long-range correlation has a greater influence on the coupled multifractality. In addition, the coupling sensitivity degree (CSD(Y)) is used to study which weather element plays a key role in the change of PM2.5 concentration.

Keywords: Coupling detrended fluctuation analysis; Multifractal; Weather elements; PM2.5 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119310532

DOI: 10.1016/j.physa.2019.121757

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