Wavelet Analysis of API Changes of Chengdu About 10 Years

doi:10.11924/j.issn.1000-6850.casb14110162

Abstract

Abstract: The paper aims to find out the multiscale variations and influencing factors of air pollution in Chengdu, and to provide evidence for air pollution control. The time series of daily Air Pollution Index (API) in Chengdu for the past decade was obtained, the primary period of API time series was analyzed by using continuous Meyer wavelet transformation, and then the influencing factors were discussed. The results showed that API varied at diverse timescales with periodic ‘high-low’ fluctuations. The primary period of the daily variations was around 320 days and the secondary period was around 120 days. Due to topographical conditions, API was serious in winter and light in summer in most scales. A secondary peak often occurred in spring which was affected by the sand-dust in north China, the inflection points of serious to light API each year were the vernal and autumnal equinoxes. The general status of air pollution tended to be getting better during the last 10 years in Chengdu, while serious air pollution sometimes occurred because of the rapid economic development. Wavelet analysis is an effective method to study the variation of API time series and the multiscale variations of other pollutants.

Tan Zhuang,Tan Yaling,Luo Mingliang,Zhang Ying and Zhang Bin. Wavelet Analysis of API Changes of Chengdu About 10 Years[J]. Chinese Agricultural Science Bulletin, 2015, 31(14): 200-205.

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