WORLD TRENDS TOWARD INCREAING THE AMOUNT OF BIOGAS INSTALLATIONS ON THE SOLID MUNICIPAL WASTE (SMW) LANDFILLS

Abstract

The area of the solid municipal waste landfills and dump sites is constantly growing in Ukraine, these landfills and dump sites are the sources of the landfill gas or biogas, this gas, without the available biogas installations for its collection can pollute the atmosphere. Determination of the regression dependences, which describe the dynamics of the growth of the number of biogas installations at the solid municipal waste landfills is an urgent scientific-engineering problem. The aim of the research is the determination of the regression dependences, which describe the dynamics of the number of biogas installations increase at the solid municipal waste landfills and can be used for the forecast of the number of such installations. In the process of the research the method of the regressive analysis of the results of single factor experiments ant other paired  dependences with the selection of the best kind of  function from the sixteen most widely spread variants by the criterion of the maximum value of the correlation factor was used. The regression was carried out on the base of the linearized transformations, which enable to reduce the nonlinear dependence to the linear one. Determination of the regression equations coefficients was performed by the method of the least squares, by means of the developed computer program "RegAnaliz", the program is protected by the Certificate of the State Registration of the Rights to the Copyright Object. Adequate regression dependences, describing the dynamics of the number of biogas installations increase at the solid municipal waste landfills are obtained, these dependences can be used for the forecast of the number of such installations. Graphic dependences, describing the dynamics of biogas installations increase at the solid municipal waste landfills are constructed, these graphic dependences allow to illustrate this dynamics and show the sufficient coincidence of the theoretical results with the actual data.