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Comprehensive review on waste generation modeling

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dc.title Comprehensive review on waste generation modeling en
dc.contributor.author Šomplák, Radovan
dc.contributor.author Smejkalová, Veronika
dc.contributor.author Rosecký, Martin
dc.contributor.author Szásziová, Lenka
dc.contributor.author Nevrlý, Vlastimír
dc.contributor.author Hrabec, Dušan
dc.contributor.author Pavlas, Martin
dc.relation.ispartof Sustainability (Switzerland)
dc.identifier.issn 2071-1050 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 15
utb.relation.issue 4
dc.type review
dc.language.iso en
dc.publisher MDPI
dc.identifier.doi 10.3390/su15043278
dc.relation.uri https://www.mdpi.com/2071-1050/15/4/3278
dc.subject waste generation modeling en
dc.subject waste production en
dc.subject waste prediction and forecasting en
dc.subject projection en
dc.subject short time series en
dc.description.abstract Strategic 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
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011450
utb.identifier.obdid 43884614
utb.identifier.scopus 2-s2.0-85149327247
utb.identifier.wok 000942059100001
utb.source j-scopus
dc.date.accessioned 2023-03-20T08:32:20Z
dc.date.available 2023-03-20T08:32:20Z
dc.description.sponsorship Technology Agency of the Czech Republic, TACR; Grantová Agentura České Republiky, GA ČR: FSR FORD 5-6/2022-23/FLKŘ/001; Univerzita Tomáše Bati ve Zlíně; Ministerstvo Životního Prostředí, MŽP: GA 20-00091Y, SS02030008
dc.description.sponsorship Technology Agency of the Czech Republic; Ministry of the Environment of the Czech Republic [SS02030008]; Czech Science Foundation [FSR FORD 5-6/2022-23/FLKR/001]; Centre of Environmental Research: Waste management, circular economy and environmental security [20-00091Y]; [TIRSMZP719]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Institute of Mathematics
utb.contributor.internalauthor Hrabec, Dušan
utb.fulltext.sponsorship The article was written as part of the project TIRSMZP719 (“Prognosis of Waste Generation and Determination of the Composition of Municipal Waste”). The authors gratefully acknowledge the support provided by Technology Agency of the Czech Republic and Ministry of the Environment of the Czech Republic. The authors also gratefully acknowledge financial support provided by grant No. SS02030008 “Centre of Environmental Research: Waste management, circular economy and environmental security”; Grant No. GA 20-00091Y of the Czech Science Foundation and project FSR FORD 5-6/2022-23/FLKŘ/001 Sustainability in Transport: Modern Trends and their Impact on the Environment.
utb.fulltext.sponsorship We acknowledge the financial support received from Technology Agency of the Czech Republic, Grant agency of the Czech Republic and Tomas Bata University in Zlín.
utb.wos.affiliation [Somplak, Radovan; Smejkalova, Veronika; Szasziova, Lenka; Nevrly, Vlastimir; Pavlas, Martin] Brno Univ Technol, Inst Proc Engn, Fac Mech Engn, Technicka 2, Brno 61669, Czech Republic; [Rosecky, Martin] Czech Math As, Sumavska 416-15, Brno 60200, Czech Republic; [Hrabec, Dusan] Tomas Bata Univ Zlin, Inst Math, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Institute of Process Engineering, Faculty of Mechanical Engineering, Brno University of Technology, Technická 2, Brno, 616 69, Czech Republic; Czech Math, a.s, Šumavská 416/15, Brno, 602 00, Czech Republic; Institute of Mathematics, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic
utb.fulltext.projects TIRSMZP719
utb.fulltext.projects SS02030008
utb.fulltext.projects GA 20-00091Y
utb.fulltext.projects FSR FORD 5-6/2022-23/FLKŘ/001
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