Time series analysis of ozone data in Isfahan

M. Omidvari, S. Hassanzadeh and F. Hosseinibalam

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 16, 4393-4403

Abstract: Time series analysis used to investigate the stratospheric ozone formation and decomposition processes. Different time series methods are applied to detect the reason for extreme high ozone concentrations for each season. Data was convert into seasonal component and frequency domain, the latter has been evaluated by using the Fast Fourier Transform (FFT), spectral analysis. The power density spectrum estimated from the ozone data showed peaks at cycle duration of 22, 20, 36, 186, 365 and 40 days.

Keywords: Spectral analysis; Trend analysis; Seasonal component; Time series (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:16:p:4393-4403

DOI: 10.1016/j.physa.2008.02.059

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