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A structured methodology to understand municipal waste generation at local level with minimized effort: development and case study

2021-04-21Journal article Restricted access
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dc.contributor.authorFernández Braña, Álvaro
dc.contributor.authorSousa, Vítor
dc.contributor.authorFerreira, Célia
dc.date.accessioned2022-03-04T11:28:44Z
dc.date.available2022-03-04T11:28:44Z
dc.date.issued2021-04-21
dc.date.updated2022-01-15T15:29:36Z
dc.description.abstractUnderstanding municipal solid waste (MSW) generation is a key requirement for designing and optimizing MSW collection services. The present contribution proposes a statistical methodology to identify MSW generation patterns from MSW collection records. The methodology aims at finding statistically distinct household waste generation patterns within the days of the week and within months (seasonal variation). It is based on standard statistical methods (ANOVA complemented by non-parametric tests and cluster analysis). The methodology was applied to a Portuguese neighbourhood to assist in the definition of a waste sampling campaign to support the implementation of a pilot PAYT. The results showed the existence of groups with statistically distinct MSW generation patterns both at the weekly and monthly time scales. Three clusters of days of the week, with high, medium and low generation, and two clusters of months, with high and low generation, were identified. These results allowed to design and implement a customized field waste sampling campaign to estimate the MSW generated at the study site with minimal field work. Instead of implementing a homogeneous sampling campaign (equal number of samples for every day of the week and for every month), the samples were collected from the days and months that showed statistically distinct MSW generation pattern. The systematic procedure can be easily adapted to any given location, thus being a useful tool that combines statistical analysis with field collected data.pt_PT
dc.description.sponsorshipThe authors would like to acknowledge the financial support of LIFE+, the financial instrument of the EU for the environment, for funding the LIFE PAYT project (LIFE 15/ENV/PT/000609).pt_PT
dc.description.sponsorshipLIFE15 ENV/PT/000609
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s11356-020-11108-0pt_PT
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.slugcv-prod-2464394
dc.identifier.urihttp://hdl.handle.net/10400.2/11797
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectData collectionpt_PT
dc.subjectExperimental designpt_PT
dc.subjectWaste forecastingpt_PT
dc.subjectPattern identificationpt_PT
dc.subjectSample distributionpt_PT
dc.subjectSeasonalitypt_PT
dc.titleA structured methodology to understand municipal waste generation at local level with minimized effort: development and case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12612pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage12597pt_PT
oaire.citation.titleEnvironmental Science and Pollution Researchpt_PT
oaire.citation.volume28pt_PT
person.familyNameFernández Braña
person.familyNameFerreira
person.givenNameÁlvaro
person.givenNameCélia
person.identifier.ciencia-id931E-FBDE-2098
person.identifier.orcid0000-0002-0351-2664
person.identifier.orcid0000-0002-7456-2538
rcaap.cv.cienciaid931E-FBDE-2098 | Célia Maria Dias Ferreira
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication51c08f79-5b4e-4482-9dbd-651866a1e2a4
relation.isAuthorOfPublicatione30010dd-0512-4da6-a0c9-910b47f18b4f
relation.isAuthorOfPublication.latestForDiscovery51c08f79-5b4e-4482-9dbd-651866a1e2a4

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