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Information × Registration Number 0222U002350, 0120U100880 , R & D reports Title Methods, tools and information technology for identifying sources of pollution of the ground-level atmosphere based on their mathematical models popup.stage_title Head Voytyuk Iryna F., Кандидат технічних наук Registration Date 11-02-2022 Organization Ternopil National Economic University popup.description2  The object of research is the processes of spreading of pollution of the squat layer of the atmosphere, which are modeled on the basis of data from measuring instruments presented in interval form. The subject of research - methods, tools and information technology for identifying sources of pollution of the squat layer of the atmosphere based on their mathematical models. The aim of the project was to create mathematical, software and information software to identify sources of pollution of the squat atmosphere in the way of developing and applying mathematical models of dynamics and distribution of measured concentrations, which would provide, if applied to a particular area, improving environmental quality. Results of work: improved methods of structural and parametric identification of interval models of dynamics on the basis of behavioral models of bee colony, which contain procedures for automated formation of a set of structural elements; information technology for identification of sources of pollution of the squat layer of the atmosphere; new mathematical models of distribution processes and dynamics of harmful emissions, which, in contrast to existing ones, provide guaranteed prognostic properties taking into account meteorological conditions. The result is a method of subtractive clustering of the sample of input data, which provides automated formation of a set of structural elements of the model and reduce the computational complexity of the method; improved methods of structural and parametric identification of interval dynamics models based on behavioral models of bee colony using the method of subtractive clustering of input data, which provides automated formation of a set of structural elements of the model and reduce computational complexity of the method; new mathematical models of distribution processes and dynamics of harmful emissions, which provide guaranteed prognostic properties taking into account meteorological conditions. Product Description popup.authors Bayurskyy Andrii R. Vavruh Roman V. Holubiev Vladyslav V. Huliyev Nazar B. Kedrin Yevhen S. Kovbasistyi Andrii V. Krepych Svitlana Ya. Litvinchuk Mykola V. Maslyiak Yurii B. Melnyk Andriy M. Oliinyk Iryna S Papa Oleksandr A. Povoroznyk Volodymyr S. Porplytsia Natalia P. Romaniuk Maksym V. Smal Vitalii I. Tymets Volodymyr I. Tymchyshyn Vasyl S. Yushko Andrii V. popup.nrat_date 2022-03-09 Close