Cost‐Effective Solid‐Waste Characterization Methodology

Beam, T.G.; Mar, Brian W.

doi:10.1061/(asce)0733-9372(1993)119:4(631)

Cited by 24 publications

(15 citation statements)

References 3 publications

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“…The collections per year at each residential unit were 104. Gay et al (1993) proposed an alternative to the traditional waste characterization studies. Their method of estimating waste composition and generation is based on converting economic sales data for a region into estimates of solid waste generation.…”

Section: Introductionmentioning

confidence: 99%

Relation of waste generation and composition to socio-economic factors: a case study

Bandara

Hettiaratchi

Wirasinghe

et al. 2007

Environ Monit Assess

210

140

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To develop an effective waste management strategy for a given region, it is important to know the amount of waste generated and the composition of the waste stream. Past research has shown that the amount of waste generated is proportional to the population and the average mean living standards or the average income of the people. In addition, other factors may affect the amount and composition of waste. These are climate, living habits, level of education, religious and cultural beliefs, and social and public attitudes. This paper presents the findings of a study carried out in a suburban municipal area in Sri Lanka to determine the solid waste generation rate and waste composition based on field surveys and to determine the related socio-economic factors. A database was developed that included information on the quantity and composition of waste generated in a sample of households in the study area over a time period. The collected data was analysed to relate waste generation and composition data to various socio-economic factors. Over 400 sample households were selected for the study using a stratified random sampling methodology based on municipal wards and property values. A technique that considers both the number of households in a particular income group (property value range) and the standard deviation of property values within a given income group was used to determine the appropriate sample size for each municipal ward. Through category and regression analyses, the quantities of waste and waste composition were related to several socio-economic factors. The paper describes the basis for the sample selection, the methodology adopted for data collection, the socio-economic parameters used for the analysis, and the relationships developed from the analysis.

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Section: Introductionmentioning

confidence: 99%

Relation of waste generation and composition to socio-economic factors: a case study

Bandara

Hettiaratchi

Wirasinghe

et al. 2007

Environ Monit Assess

210

140

View full text Add to dashboard Cite

show abstract

“…Food wastes and yard trimmings and a small amount of miscellaneous inorganic wastes are accounted for by compiling data from a variety of waste sampling studies. Gay et al (1993) have reviewed manual sorting characterizations studies and advocate the cost-effectiveness of using economic sales data for estimating solid waste generation and composition in a region. However, for example, Maystre and Viret (1995) at the Institute of Environmental Engineering in Switzerland, argue that using statistical information about goods, like the US EPA or Gay et al, is only applicable at a national level and that, because of varying product turnover times, the results will be too general.…”

Section: Materials Flow Methodsmentioning

confidence: 99%

“…Austria, Germany, Italy, Spain, Great Britain, Romania, and Poland participated in the project, which lasted for 3 years and was concluded in 2004. Apart from an extensive number of sources in the Scott (1995) Work in harmonising sampling and analytical protocols related to municipal solid waste conversion to energy International Energy Agency (IEA) Gay et al (1993) Cost-effective solid-waste characterization methodology Bovay Northwest Inc., US participating countries, the SWA-tool manual has synthesised experiences from France (ADEME), the Netherlands (RIVM), US (EPA, ASTM, Rugg), Japan (Matsuto and Ham, 1990;Matsuto and Tanaka, 1993;Terashima et al, 1984) and many others. However, from information received in October 2006, the Solid Waste Analysis (SWA)-tool was not in prospect of becoming a European standard.…”

Section: The European Commission (Swa-tool)mentioning

confidence: 99%

Methods for household waste composition studies

2008

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“…For such purposes, several methodologies have been applied: CBA-based LP , CBA-based MIP , CBA-based fuzzy goal programming , fuzzy contingent valuation (Chang et al, 2009), minimax regret optimization (Chang and Davila, 2007), GIP-based game theory , CBA-based MCDM (Karagiannidis and Moussiopoulos, 1997;Rousis et al, 2008), optimal control of landfill space (Chang and Schuler, 1991) inexact fuzzy-stochastic constraint (Li et al, 2009), IOA (Brahms and Schwitters, 1985;Franklin Associates, 1999;Gay et al, 1993;Hekkert et al, 2000;Joosten et al, 2000;Patel et al, 1998;Nakamura, 1999;Pimenteira et al, 2005) Sustainable assessment Refers to the integration of different methodologies in such a way that obtaining an analysis, an evaluation or a planning that approaches several management aspects in which sustainability implications may be emphasized and illuminated SWM systems assessed to reach sustainable management, focusing on different aspects. Models developed: LCA-IWM (den Boer et al, 2007) and MSW-DST (Thorneloe et al, 2007;Weitz et al, 1999).…”

Section: Strategic Environmental Assessmentmentioning

confidence: 99%