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Sfeir H, Reinhart DR, McCauley-Bell PR. An Evaluation of Municipal Solid Waste Composition Bias Sources. J Air Waste Manag Assoc. 1999;49(9):1096-1102doi: 10.1080/10473289.1999.10463903.
Sfeir, H., Reinhart, D. R., & McCauley-Bell, P. R. (1999). An Evaluation of Municipal Solid Waste Composition Bias Sources. Journal of the Air & Waste Management Association (1995), 49(9), 1096-1102. https://doi.org/10.1080/10473289.1999.10463903
Sfeir, Hala, et al. "An Evaluation of Municipal Solid Waste Composition Bias Sources." Journal of the Air & Waste Management Association (1995) vol. 49,9 (1999): 1096-1102. doi: https://doi.org/10.1080/10473289.1999.10463903
Sfeir H, Reinhart DR, McCauley-Bell PR. An Evaluation of Municipal Solid Waste Composition Bias Sources. J Air Waste Manag Assoc. 1999 Sep;49(9):1096-1102. doi: 10.1080/10473289.1999.10463903. PMID: 29073867.
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J Air Waste Manag Assoc. 1999 Sep;49(9):1096-1102. doi: 10.1080/10473289.1999.10463903.

An Evaluation of Municipal Solid Waste Composition Bias Sources.

Journal of the Air & Waste Management Association (1995)

Hala Sfeir, Debra R Reinhart, Pamela R McCauley-Bell

Affiliations

  1. a Civil and Environmental Engineering Department , University of Central Florida , Orlando , Florida , USA.
  2. b Civil and Environmental Engineering Department and College of Engineering , University of Central Florida , Orlando , Florida , USA.
  3. c Industrial Engineering and Management Science Department , University of Central Florida , Orlando , Florida , USA.

PMID: 29073867 DOI: 10.1080/10473289.1999.10463903

Abstract

The University of Central Florida (UCF) was contracted by the Florida Center for Solid and Hazardous Waste Management (FCSHWM) to develop a well-defined methodology for conducting municipal solid waste composition studies. This methodology must account for the statistical variations in waste composition, be economical and practical in implementation, and build on a consensus of waste management professionals. This paper identifies possible sources of bias in waste composition study results and provides guidance for future planning of local waste stream composition analysis. To accomplish this objective, a composition study was designed and implemented for Marion County, FL, in fall 1996. The potential sources of concern investigated in detail were sample weight and contamination. The methodology developed by UCF is statistically valid and if widely implemented would provide a better representation of the waste stream. Lack of contamination adjustment is a major contributor to error in the waste stream analysis and should be accounted for in the methodology. For sample sorts using a large number of categories, sample size may be a contributor to bias. This likelihood for bias can be reduced by increasing the sample weight to at least200 kg, particularly when sorting commercial loads or reducing the number of categories.

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