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DEVELOPMENT OF RESIDENTIAL WOOD COMSUMPTION ESTIMATION MODELS
Citation:
Ramadan, W. AND M. G. Smith. DEVELOPMENT OF RESIDENTIAL WOOD COMSUMPTION ESTIMATION MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-93/096 (NTIS PB93-199248), 1993.
Impact/Purpose:
information
Description:
The report gives data on the distribution and usage of firewood, obtained from a pool of household wood use surveys. ased on a series of regression models developed using the STEPWISE procedure in the SAS statistical package, two variables appear to be most predictive of wood use per household: (1) heating degree days, and (2) percentage of households that burn wood as a main heat source. he average number of cords burned in fireplaces is estimated as a function of the total number of cords burned per household, availability of wood, and population density. odels were also developed to estimate the distribution of wood-burning devices. ariables that appear to be most predictive of the percentage of woodstoves are percentage of households that burn wood as a main heat source, heating degree days, availability of wood, and percentage of urban population. nput data, predicted values, and deviations from actual values are tabulated for each model. raphs for each model show both actual and predicted values for the variables being estimated.