Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Development of an empirical model of methane emissions from landfills : final report /
Author Peer, R. L. ; Epperson, D. L. ; Campbell, D. L. ; von Brook., P.
Other Authors
Author Title of a Work
Peer, Rebecca Lynn
Thorneloe, Susan A.
CORP Author Radian Corp., Research Triangle Park, NC.;Environmental Protection Agency, Research Triangle Park, NC. Air and Energy Engineering Research Lab.
Publisher U.S. Environmental Protection Agency, Office of Research and Development ; National Technical Information Service [distributor],
Year Published 1992
Report Number EPA/600/R-92/037; EPA-68-D9-0054
Stock Number PB92-152875
Subjects Landfill gases--Environmental aspects. ; Methane--Environmental aspects. ; Refuse as fuel.
Additional Subjects Methane ; Gas production ; Gas recovery ; Mathematical models ; Waste disposal ; Air pollution sampling ; Earth fills ; Air pollution control ; Concentration(Composition) ; Climate ; Statistical analysis ; Emission factors ; Global aspects
Library Call Number Additional Info Location Last
NTIS  PB92-152875 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation vi, 97 pages : illustrations ; 28 cm
The report gives results of a field study of 21 U.S. landfills with gas recovery systems, to gather information that can be used to develop an empirical model of methane (CH4) emissions. Site-specific information includes average CH4 recovery rate, landfill size, tons of refuse (refuse mass), average age of the refuse, and climate. A correlation analysis showed that refuse mass was positively linearly correlated with landfill depth, volume, area, and well depth. Regression of the CH4 recovery rate on depth, refuse mass, and volume was significant, but depth was the best predictive variable (R2 = 0.53). Refuse mass was nearly as good (R2 = 0.50). None of the climate variables (precipitation, average temperature, dewpoint) were correlated with the CH4 recovery rate or with CH4 recovery per metric ton of refuse. Much of the variability in CH4 recovery remains unexplained, and is likely due to between-site differences in landfill construction, operation, and refuse composition. A model for global landfill emissions estimation is proposed.
Includes bibliographical references (pages 56-57). "Susan A. Thorneloe, project officer." Microfiche.