Analysis and forecast of production and utilization of industrial waste in Ukraine

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I.Perevozova,, Ivano-Frankivsk National Technical Oil and Gas University, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

H.Havrysh,, Robert Elworthy Institute of Economics and Technology, Kropyvnytskyi, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S.Koliadenko,, Vinnytsia National Agrarian University, Vinnytsia, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.Yurchuk,, Vinnytsia National Agrarian University, Vinnytsia, Ukraine; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Shapoval,, National Academy of the National Guard of Ukraine, Kharkiv, Ukraine; e-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (2): 131 - 136


To analyze the situation with the generation, utilization and accumulation of industrial wastes, to develop the mathematical model of forecasting and, using this model, to identify the main trends in forming and accumulating waste for next years and current threats.

In the scientific research presented in the article, general and special methods of cognition were applied. For the use of the indicated methods complex approach was applied. Complex use of methods of regular supervision, comparative analysis, content analysis, and logical generalization, quantitative and qualitative comparison allowed not only determining the range of industries that make a major contribution to the formation of existing industrial wastes, but also proving that the main polluter is the extractive industry. Complex use of methods of scientific abstraction and mathematical formalization allowed not only creating a mathematical model for the formation of forecasts for industrial wastes for subsequent periods but also strengthening their relevance by highlighting the colored noise and predicting trends in the coming years.

The results of quantitative and qualitative analysis of the annual increase in industrial waste by industries prove the mono-sectoral impact on the formation of the crisis situation. Threats have been detected of multiplicative year-on-year growth of waste accumulated during operation in specially designated places and facilities and annual growth of accumulation of dangerous industrial waste of IIII classes. The created mathematical model allowed carrying out forecasting of volumes of formation and utilization of industrial waste. Due to this, further analytical studies have shown that the volume of waste generation in recent years is twenty times as much as the volumes of disposal. There has also been a catastrophic decrease in the rate of dangerous waste disposal and outpacing the growth of total waste accumulation.

As a result of the analysis, it is found that the trend of recent years to increase waste generation has been formed due to the extractive industry and quarry development. Threats of a crisis situation formation as a result of the reduction of dangerous waste utilization and the multiplicative year-on-year growth of the total accumulated wastes have been established. During the research, a mathematical model was developed for the analysis of waste generation and utilization and forecasting of their volumes.

Practical value.
The results of quantitative and qualitative analysis of the annual increase in the volume of industrial wastes by industries prove the mono-sectoral impact on forming of the crisis situation. The application of the developed mathematical model of forecasting of volumes of waste formation and utilization provides new opportunities for the analysis of the situation and introduction of advanced methods of waste management.

industrial waste, extractive industry, mathematical modeling, forecasting, waste management


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