Comprehensive review on waste generation modeling

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dc.contributor.authorŠomplák, Radovancs
dc.contributor.authorSmejkalová, Veronikacs
dc.contributor.authorRosecký, Martincs
dc.contributor.authorSzásziová, Lenkacs
dc.contributor.authorNevrlý, Vlastimírcs
dc.contributor.authorHrabec, Dušancs
dc.contributor.authorPavlas, Martincs
dc.coverage.issue4cs
dc.coverage.volume15cs
dc.date.issued2023-02-10cs
dc.description.abstractStrategic plans for waste management require information on the current and future waste generation as a primary data source. Over the years, various approaches and methods for waste generation modeling have been presented and applied. This review provides a summary of the tasks that require information on waste generation that are most frequently handled in waste management. It is hypothesized that there is not currently a modeling approach universally suitable for forecasting any fraction of waste. It is also hypothesized that most models do not allow for modeling different scenarios of future development. Almost 360 publications were examined in detail, and all of the tracked attributes are included in the supplementary. A general step-by-step guide to waste generation forecasting, comprising data preparation, pre-processing, processing, and post-processing, was proposed. The problems that occurred in the individual steps were specified, and the authors’ recommendations for their solution were provided. A forecasting approach based on a short time series is presented, due to insufficient options of approaches for this problem. An approach is presented for creating projections of waste generation depending on the expected system changes. Researchers and stakeholders can use this document as a supporting material when deciding on a suitable approach to waste generation modeling or waste management plans.en
dc.formattextcs
dc.format.extent1-29cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSustainability. 2023, vol. 15, issue 4, p. 1-29.en
dc.identifier.doi10.3390/su15043278cs
dc.identifier.issn2071-1050cs
dc.identifier.orcid0000-0002-5714-4537cs
dc.identifier.orcid0000-0002-6763-2059cs
dc.identifier.orcid0000-0003-0848-7477cs
dc.identifier.orcid0000-0002-3869-4613cs
dc.identifier.orcid0000-0001-6613-0340cs
dc.identifier.orcid0000-0002-2300-953Xcs
dc.identifier.other183244cs
dc.identifier.researcheridQ-9462-2017cs
dc.identifier.researcheridAAC-8839-2019cs
dc.identifier.researcheridAAC-8838-2019cs
dc.identifier.scopus55515602000cs
dc.identifier.scopus57194697108cs
dc.identifier.scopus56769760500cs
dc.identifier.urihttp://hdl.handle.net/11012/213575
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSustainabilitycs
dc.relation.urihttps://www.mdpi.com/2071-1050/15/4/3278cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2071-1050/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectwaste generation modelingen
dc.subjectwaste productionen
dc.subjectwaste prediction and forecastingen
dc.subjectprojectionen
dc.subjectshort time seriesen
dc.titleComprehensive review on waste generation modelingen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183244en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:49:26en
sync.item.modts2025.01.17 16:38:51en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav procesního inženýrstvícs
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