Bronytskyi V. FORECASTING THE USE OF CLOSED LANDFILLS FOR SOLID WASTE AS A BASIS FOR CONSTRUCTION

The dissertation is devoted to solving an important scientific and applied problem of forecasting the use of closed landfills as a basis for buildings, which ensures the rational use of natural resources and compliance with safety standards and environmental restoration by reusing closed landfills as a basis for buildings. The ecological consequences of waste management in Ukraine and the world, the current state and prospects for the use of landfills for solid waste (MSW) are analyzed. Using the method of expert assessments, it was found that the indicators with the highest severity of effects are the influence of atmospheric air; surface deformation; effects on the respiratory tract; danger of explosion and fire. To predict the stability of landfills for the purpose of their reuse as the basis of structures, numerous experiments were conducted on the basis of mathematical modeling of landfill subsidence processes. The finite element method was used to model the landfill subsidence process. A spatial mathematical model of the solid waste landfill consolidation process has been developed, in which it is first proposed to take into account the underlying soil, as it is one of the main factors in the formation of subsidence. As a result of application of the developed technique and a set of programs the regularities of landfill subsidence are obtained from the physical and mechanical properties of the landfill body and soil, shape and angle of the landfill, the mutual location of the underlying soils. Analytical dependences of landfill subsidence with different underlying soils on the magnitude of static and dynamic loads in the form of polynomials of 2nd degree are obtained, which make it possible to predict landfill subsidence with the aim of their further use as a basis for different purposes. Key words: ecological danger, assessment methodology, ecological risks, landfills of solid household waste, soil basis, mathematical modeling.