An advanced analysis and modelling the air pollutant concentration temporal dynamics in atmosphere of the industrial cities: Odessa city

1st International Conference on Advances in Environmental Engineering

生态环境科学

Buyadzhi, V.V.^1 ; Glushkov, A.V.^1 ; Khetselius, O.Yu.^1 ; Ternovsky, V.B.^1 ; Serga, I.N.^1 ; Bykowszczenko, N.^2

Odessa State Environmental University, L'vovskaya str.15, Odessa-16

65016, Ukraine^1

Institute of Chemistry and Environmental Protection, Technical University of Szczecin, Piastów 42 av., Szczecin

71-065, Poland^2

关键词: Air pollutant concentrations;    Analysis and modelling;    Autocorrelation functions;    Average mutual information;    Correlation dimensions;    Embedding dimensions;    Kaplan-Yorke dimensions;    Kolmogoroventropies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/92/1/012006/pdf
DOI  :  10.1088/1755-1315/92/1/012006

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Results of analysis and modelling the air pollutant (dioxide of nitrogen) concentration temporal dynamics in atmosphere of the industrial city Odessa are presented for the first time and based on computing by nonlinear methods of the chaos and dynamical systems theories. A chaotic behaviour is discovered and investigated. To reconstruct the corresponding strange chaotic attractor, the time delay and embedding dimension are computed. The former is determined by the methods of autocorrelation function and average mutual information, and the latter is calculated by means of correlation dimension method and algorithm of false nearest neighbours. It is shown that low-dimensional chaos exists in the nitrogen dioxide concentration time series under investigation. Further, the Lyapunov's exponents spectrum, Kaplan-Yorke dimension and Kolmogorov entropy are computed.