Environmental Problems

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Author: search.filters.author.Bunyakova, YuliyaHas files: Yes

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    Studying an air ventilation and pollution in an atmosphere of industrial city: elements of new modeling approach and green-city technology
    (Lviv Politechnic Publishing House, 2017-09-08) Khetselius, Olga; Glushkov, Alexander; Safranov, Tamerlan; Buyadzhi, Vasily; Bunyakova, Yuliya; Romanova, Anna; Odessa State Environmental University
    We develop the elements of a new generalized approach to natural air ventilation of the industrial city. It is based on the Arakawa-Shubert and Glushkov models which allow to give a quantitative reliable modelling an unsteady turbulence in the urban area and atmospheric ventilation dynamics. To calculate the air circulation for the cloud layer arrays, penetrating into the territory of the urban area, we apply the methods of a plane complex field theory. The method allows to calculate the convection parameters and shifting cumulus cloud ensemble from surrounung regions. An advanced mathematical method for modelling an unsteady turbulence in the city’s area is developed and applied. As illustrative example, we apply our approach to computing the ventilation potential and current function for typical (quite simplified) sinopticl situation for the territory of the Odessa city.
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    Advanced modeling and forecasting of pollutant concentrations temporal dynamics in the atmosphere of an industrial city (gdansk region)
    (Publishing House of Lviv Polytechnic National University, 2016) Glushkov, Alexander; Safranov, Timur; Khetselius, Olga; Prepelitsa, Georgy; Bunyakova, Yuliya; Bykowszczenko, Nataliya
    In the paper we present the results of an advanced investigation of dynamics of variations of the atmospheric pollutants (sulphur dioxide) concentrations in the air basins of Polish industrial cities (Gdansk region) by using the improved non-linear prediction and chaos theory methods. Chaotic behavior of the sulphurous anhydride concentration time series at two sites in the city of Gdansk has been computed. As usually, to reconstruct the corresponding chaotic attractor, it is necessary to determine time delay and embedding dimension. The former is determined by the methods of autocorrelation function and average mutual information, and the latter is calculated by means of the correlation dimension method and algorithm of false nearest neighbours. Further, the Lyapunov exponents’ spectrum, the Kaplan-Yorke dimension and the Kolmogorov entropy and other invariants are calculated. An existence of a low-D chaos in the cited system is confirmed and using polynominal algorithm with neural networks block allows making an improved short-term forecast of the atmospheric pollutant fluctuations dynamics.
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    Studying and forecasting of the phosphates pollution dynamics in watersheds and antropogenic water management landscape dynamics: application to the small carpathians rivers’ watersheds
    (Publishing House of Lviv Polytechnic National University, 2016) Glushkov, Alexander; Khokhlov, Valery; Serbov, Mykola; Buyadzhi, Vasily; Bunyakova, Yuliya; Solyanikova, Elena
    The paper concerns the results of the quantitative study of dynamics for phosphates concentrations in the Small Carpathians rivers watersheds in Earthen Slovakia by using methods of nonlinear analysis and forecasting, chaos theory and dynamical systems. The conclusions can be viewed from the perspective of carrying out new algorithms for analysis and forecasting of the dynamics and evolution of anthropogenic water management landscape. Chaotic behaviour of the phosphates concentration time series in the watersheds of the Small Carpathians is studied. It is shown that low-D chaos exists in the time series under investigation.