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一种基于边际收益递减的固体废物特性描述方法。

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

作者信息

Sharma Mukesh, McBean Edward

机构信息

Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.

出版信息

Waste Manag. 2007;27(3):337-44. doi: 10.1016/j.wasman.2006.02.007. Epub 2006 Apr 5.

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.

摘要

开发了一种方法,用于估计废物分类的数量,以便根据递减的最小增量信息将固体废物分类。利用连续废物分类时变异系数平方的收敛性,表明与现有方法相比,在大幅减少分类数量的情况下,可实现成本效益高的抽样终止。这些结果表明,超过使用所提出方法确定的废物分类数量,不会在信息方面带来实质性的边际收益和/或估计置信区间的缩小。使用大温哥华地区的废物成分分析对该方法进行了演示,其中检查了22种废物分类。所提出的方法很简单,废物分类数量可以用手持计算器估算并在现场使用。

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