Abstract
The chapter is devoted to the study of the dynamic processes of creation of atmospheric pollution (particulate matter, SO 2, NO 2 and ozone) and its association with the environmental atmospheric parameters, like the temperature, wing, humidity, insolation, etc. We analyse the problem of nonlinearity of these processes, their chaocity as well as the interrelationships between the concentration of the particular pollutant and the environmental variables. The results of these studies are applied in building the prediction models of the concentration of the particular pollutants.
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Grivas, G., Chaloulakou, A.: Artificial neural network models for predictions of PM10 hourly concentrations in greater area of Athens. Atmospheric Environment 40, 1216–1229 (2006)
Holzfuss, J., Lauterborn, W.: Lyapunov exponents from a time series of an acoustic chaos. Physical Review A 39, 2146–2152 (1989)
Iasemidis, L.D., Principe, J.C., Sackellares, J.C.: Measurement and quantification of spa-tio-temporal dynamics of human epileptic seizures. In: Akay, M. (ed.) Nonlinear Signal Processing in Medicine, pp. 1–27. IEEE Press, New York (1999)
Kukkonen, J., Partanen, L., Karpinen, A., Ruuskanen, J., Junninen, H., Kolehmainen, M., Niska, H., Dorling, S., Chatterton, T., Foxall, R., Cawley, G.: Extensive evaluation of neural networks models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modeling system and measurements in central Helsinki. Atmospheric Environment 37, 4539–4550 (2003)
Li, S.T., Shue, L.Y.: Data mining to aid policy making in air pollution management. Expert Systems with Applications 27, 331–340 (2004)
Misiti, M., Oppenheim, G., Poggi, J.M., Misiti, Y.: User manual of Matlab, MathWorks, Natick, USA (2010)
Nikias, L., Petropulu, A.P.: Higher-order spectral analysis a nonlinear signal processing framework, Englewood Cliffs, NJ (1993)
Schlkopf, B., Smola, A.: Learning with kernels. MIT Press, Cambridge (2002)
Siwek, K., Osowski, S., Widerski, B.: Study of PM10 Pollution Using Signal Analysis Methods, pp. 228–233. ISTET, Klagenfurt (2011)
Swami, A., Mendel, J., Nikias, C.L.: HOSA toolbox of Matlab 5.1, MathWorks, Natick, USA (1993)
Wilks, D.S.: Statistical Methods in the Atmospheric Sciences. Academic Press, San Diego (1995)
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Krzysztof, S., Stanislaw, O., Bartosz, S. (2013). Study of Dynamics of Atmospheric Pollution and Its Association with Environmental Parameters. In: Kyamakya, K., Halang, W., Mathis, W., Chedjou, J., Li, Z. (eds) Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering. Studies in Computational Intelligence, vol 459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34560-9_10
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DOI: https://doi.org/10.1007/978-3-642-34560-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34559-3
Online ISBN: 978-3-642-34560-9
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