NEW APPROACH AND MICROSYSTEM TECHNOLOGY OF ADVANCED ANALYSIS AND FORECASTING THE AIR POLLUTANT CONCENTRATION TEMPORAL DYNAMICS IN ATMOSPHERE OF THE INDUSTRIAL CITIES
Journal Title: Сенсорна електроніка і мікросистемні технології - Year 2017, Vol 14, Issue 3
Abstract
We present the results of an advanced analysis, modeling and forecasting a temporal dynamics of the air pollutant (dioxide of nitrogen) concentrations in an atmosphere of the industrial city (Odessa, Ukraine; Gdansk, Polland) using comlex of new models and microsystem technology. An advanced non-linear analysis technique and modern chaos theory and dynamical systems methods have been applied. In order to analyse a measured time histories for the nitrogen dioxide concentrations in the Gdansk region the phase space of the system had been reconstructed by delay embedding. The mutual information approach, correlation integral analysis, false nearest neighbour algorithm, Lyapunov’s exponent's analysis, and surrogate data method are used for comprehensive characterization. The correlation dimension method provided a low fractal-dimensional attractor thus suggesting a possibility of the existence of chaotic behavior. Statistical significance of the results was confirmed by testing for a surrogate data. A chaotic behavior in the nitrogen dioxide concentration time series at several sites in the Gdansk city is numerically investigated and the Lyapunov’s exponents, the Kaplan-Yorke dimension and Kolmogorov entropy are precisely computed. An advanced computing has confirmed an existence of a low-D chaos in the cited system and given the improved shortterminal forecast of the atmospheric pollutants fluctuations dynamics.
Authors and Affiliations
Yu. Ya. Bunyakova, A. V. Glushkov, O. Yu. Khetselius, N. Bykowszczenko, V. V. Buyadzhi
Keywords
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- EP ID EP398721
- DOI 10.18524/1815-7459.2017.3.111408
- Views 73
- Downloads 0
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