Abstract
Over the years 1999—2014, Ukraine saw an increase in the area of overloaded landfills and landfills that do not meet environmental safety standards, and in 2015—2020, the number of such landfills and landfills, on the contrary, decreased. Therefore, the determination of the regression dependence describing the dynamics of the number of overloaded landfills of municipal solid waste in Ukraine to solve the problem of handling municipal solid waste is an urgent scientific and technical task. The purpose of the study is to determine with the help of regression analysis of dependence, which describes the dynamics of the number of overloaded landfills of municipal solid waste in Ukraine to solve the problem of handling municipal solid waste. During the study, the method of regression analysis of the results of one-factor experiments and other paired dependencies was used with the selection of a more adequate type of function from the 16 most common options according to the criterion of the maximum correlation coefficient. Regression was carried out on the basis of linearizing transformations, which allow to reduce the non-linear dependence to a linear one. The coefficients of the regression equation were determined by the method of least squares using the developed computer program "RegAnalyz", which is protected by a certificate of copyright registration for the work. An adequate regression dependence was obtained, which describes the dynamics of the number of municipal solid waste landfills in Ukraine that do not meet the standards. A graphical dependence was constructed that describes the dynamics of the number of overloaded municipal solid waste landfills in Ukraine and allows to visually illustrate this dynamic, to show a sufficient convergence of theoretical and actual results. It was established that the number of overloaded municipal solid waste landfills in Ukraine decreased exponentially in 2015—2020. It is predicted that by 2030, the number of overloaded municipal solid waste landfills in Ukraine, at the current rate of decline, will decrease to 255 units.
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