Literature DB >> 16600585

A methodology for solid waste characterization based on diminishing marginal returns.

Mukesh Sharma1, Edward McBean.   

Abstract

A methodology is developed for estimating the number of waste sorts for characterizing solid wastes into categories based on diminishing minimum incremental information. Convergence in the square of the coefficient of variation with successive waste sorts is used to indicate cost-efficient termination of sampling at substantially reduced numbers of sorts in comparison with existing methodologies. These findings indicate that the numbers of waste sorts beyond that determined using the proposed methodology do not add substantial marginal gains in information and/or reduction in the confidence interval of the estimate. The methodology is demonstrated using waste composition analyses from the Greater Vancouver Regional District where 22 waste sorts are examined. The proposed methodology is simple, and the number of waste sorts can be estimated with a hand-held calculator and utilized in the field.

Mesh:

Year:  2006        PMID: 16600585     DOI: 10.1016/j.wasman.2006.02.007

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  3 in total

1.  Environmental impact assessment of municipal solid waste management options using life cycle assessment: a case study.

Authors:  Pooja Yadav; Sukha Ranjan Samadder
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-23       Impact factor: 4.223

2.  Exploration and prediction of wet season municipal solid waste for power generation in Ilorin metropolis, Nigeria.

Authors:  Rotimi Adedayo Ibikunle
Journal:  J Mater Cycles Waste Manag       Date:  2022-04-22       Impact factor: 3.579

3.  The quantity of food waste in the garbage stream of southern Ontario, Canada households.

Authors:  Paul van der Werf; Jamie A Seabrook; Jason A Gilliland
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

  3 in total

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