Record Display for the EPA National Library Catalog


Main Title Forecasting Composition and Weight of Household Solid Wastes Using Input-Output Techniques. Volume I.
Author Noble, Stedman B. ; Humpstone, Charles C. ; Ayers., Edward H. ;
CORP Author IR and T, Arlington, Va.;Municipal Environmental Research Lab., Cincinnati, Ohio. Solid and Hazardous Waste Research Div.
Year Published 1976
Report Number IRT-372-R; EPA-68-03-0261; EPA/600/3-76/071a;
Stock Number PB-257 499
Additional Subjects Solid wastes ; Economic analysis ; Forecasting ; Input ; Output ; Refuse ; Materials recovery ; Statistical distributions ; Reviews ; Projection ; Residential buildings ; Urban areas ; Flow ; Classifications ; Mathematical analysis ; Household wastes ; Input output analysis ; Recycling
Library Call Number Additional Info Location Last
NTIS  PB-257 499 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 200p
The study described in this report represents a new approach to the analysis of household solid waste. Its purpose is to provide a method by which not only the current materials composition of this waste, but also the effects of new government policies or other significant developments on this composition--and on the possibilities for resource recovery--can be readily ascertained. This approach involves the use of economic input-output analysis as a means of tracing the flows of physical materials from the household sector where they are last used, back to the industries from which they (or the products of which they are a part) are purchased. This analysis is based on a matrix that shows the values of purchases by every sector of the economy from every other sector during a given time period. From such a base, a dynamic model may be developed to show the levels of future purchases, sector-by-sector. By converting the values of purchases into the weights of basic material inputs, it is then possible to infer the kinds and quantities of materials embodied in the products discarded by households.