2015
DOI: 10.1016/j.wasman.2015.08.032
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Method for residual household waste composition studies

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Cited by 44 publications
(40 citation statements)
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“…Therefore, an important question is how it is possible to address the residual waste fractions. In order to answer this question, it would be important to know its exact composition, as highlighted by Sahimaa et al [51].…”
Section: Limits Of the Policy MIX And Outlookmentioning
confidence: 99%
“…Therefore, an important question is how it is possible to address the residual waste fractions. In order to answer this question, it would be important to know its exact composition, as highlighted by Sahimaa et al [51].…”
Section: Limits Of the Policy MIX And Outlookmentioning
confidence: 99%
“…Waste can be composed of significant fractions of various materials and smaller fractions of impurities, and the fractions or sizes of the waste components vary greatly from country to country, between different areas within a country, and also from season to season. Several studies have focused on characterizing the compositions of different types of waste, such as municipal waste and wood waste …”
Section: Introductionmentioning
confidence: 99%
“…Its disadvantages are that it can be costly and vulnerable to demographic bias (i.e., samples collected not representative) [ 29 ]. The main approach to the direct measurement of household food waste, typically referred to as waste characterization studies [ 33 , 34 ] or waste composition studies [ 18 , 35 ], involves the curbside collection of household waste samples on their waste collection day. The waste samples typically represent a 1-2-week generation period.…”
Section: Introductionmentioning
confidence: 99%
“…Key strata used to measure household waste include: geographic location, household type (single family, multi-residential households), waste management system (e.g., bagged waste versus automated collection), housing type, urban/rural areas, socio-demographic differences, and season [ 27 , 29 , 35 39 ]. Ideally, representative sampling areas are randomly selected, although constrained for the above noted factors [ 38 ].…”
Section: Introductionmentioning
confidence: 99%