Environmental Problems. – 2017. – Vol. 2, No. 3

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/42128

Науковий журнал

Засновник і видавець Національний університет «Львівська політехніка». Виходить двічі на рік з 2016 року.

Environmental Problems = Екологічні проблеми : [науковий журнал] / Lviv Polytechnic National University ; [editor-in-chief M. Malovanyy]. – Lviv : Lviv Politechnic Publishing House, 2017. – Volume 2, number 3. – P. 155–186. : ill.

Зміст (том 2, № 3)


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Content (Vol. 2, No 3)


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    Modeling evolutionary dynamics of complex ecosystems using combined chaos theory and neural networks methods: I. Formal theoretical basis for application to environmental radioactivity dynamics
    (Lviv Politechnic Publishing House, 2017-09-08) Glushkov, Alexander; Khetselius, Olga; Safranov, Tamerlan; Buyadzhi, Vasily; Ignatenko, Anna; Svinarenko, Andrey; Odessa State Environmental University
    We present elements of the formal mathematical approach to the analysis, modeling and further prediction of the nonlinear dynamics of chaotic systems based on the methods of nonlinear analysis and neural networks. As the object of studing is the environmental radioactivity dynamics. Using such a combined method is proposed for the first time in the environmental radioactivity dynamnics studying. Use of the information about the phase space in the simulation of the evolution of the physical process in time can be considered as a major innovation in the modeling of chaotic processes in the complex systems. This concept can be achieved by constructing a parameterized nonlinear function F (x, a), which transform y (n) to y(n+1) = = F[y(n),a], and then use different criteria for determining the parameters a . Firstly to build the desired functions it is offered using the wavelet expansions. Further, since there is the notion of local neighborhoods, we can create a model of the process occurring in the neighborhood, at the neighborhood and by combining together these local models to construct a global non-linear model to describe most of the structure of the attractor.
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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.