Statistical modeling of methane production from landfill samples.

Applied and Environmental Microbiology
K R GurijalaJ A Robinson

Abstract

Multiple-regression analysis was conducted to evaluate the simultaneous effects of 10 environmental factors on the rate of methane production (MR) from 38 municipal solid-waste (MSW) samples collected from the Fresh Kills landfill, which is the world's largest landfill. The analyses showed that volatile solids (VS), moisture content (MO), sulfate (SO(inf4)(sup2-)), and the cellulose-to-lignin ratio (CLR) were significantly associated with MR from refuse. The remaining six factors did not show any significant effect on MR in the presence of the four significant factors. With the consideration of all possible linear, square, and cross-product terms of the four significant variables, a second-order statistical model was developed. This model incorporated linear terms of MO, VS, SO(inf4)(sup2-), and CLR, a square term of VS (VS(sup2)), and two cross-product terms, MO x CLR and VS x CLR. This model explained 95.85% of the total variability in MR as indicated by the coefficient of determination (R(sup2) value) and predicted 87% of the observed MR. Furthermore, the t statistics and their P values of least-squares parameter estimates and the coefficients of partial determination (R values) indicated that MO contributed the most (R = 0....Continue Reading

References

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Dec 1, 1982·Applied and Environmental Microbiology·R S Oremland, S Polcin
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Citations

Sep 1, 2006·Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA·Anurag GargRamesh C Joshi
Jan 4, 2001·FEMS Microbiology Ecology·A PourcherL Gardan
Jul 4, 2012·Journal of Environmental Quality·Ronald J BakerWentai Luo
Aug 7, 2004·Environmental Science & Technology·Lixia ChenNopawan Ratasuk

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