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dc.contributor.authorBaquero Barros, María 
dc.contributor.authorCifrián Bemposta, Eva 
dc.contributor.authorPérez Gandarillas, Lucía 
dc.contributor.authorAndrés Payán, Ana 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-02-01T07:43:47Z
dc.date.available2022-02-01T07:43:47Z
dc.date.issued2022-02
dc.identifier.issn1877-2641
dc.identifier.issn1877-265X
dc.identifier.urihttp://hdl.handle.net/10902/23807
dc.description.abstractThe separated collection and management of biowaste (BW) must be implemented in next years in the European countries. In order to define a proper BW strategy, it is necessary to estimate the generation at a municipal level, since depending on the amount to be treated, the strategy may notably vary. The aim of this study is to develop a methodology to estimate BW generation at municipal level taking into account the characteristics of the region, the Municipal Solid Waste management applied, and diferent socio-economic variables that defne the level of rurality of a municipality. A model to estimate the BW generation for each type of municipality has been developed using Multiple Linear Regression Analysis. As input data, results from a Waste Compositional Analysis executed by the regional government to samples collected on 38 municipalities and data related to infuential socio-economic variables have been used. Signifcant infuence of socio-economic variables on BW generation is observed for the rural municipalities. The evolution of these characteristics, as well as the greater awareness of society with food waste, have change the consumption patterns. Therefore, it is not recommended to use static ratios, but models that allow including socio-economic changes in the estimation of waste generation.es_ES
dc.description.sponsorshipThis work has been financially supported by the Government of Cantabria R&D project entitled “Obtention, treatment and dissemination of data related to production and management of waste, and adjustment of the existing indicators system to the valid waste plan of Cantabria”. The public company MARE S.A. has provided the MSW generation data, as well as the WCA characterisations used to develop the statistical modellinges_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Netherlandses_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceWaste and Biomass Valorization, 2022, 13(2), 941-954es_ES
dc.subject.otherBiowastees_ES
dc.subject.otherEstimationes_ES
dc.subject.otherRuralityes_ES
dc.subject.otherRegression analysises_ES
dc.titleMethodology proposed for estimating biowaste generation using municipal rurality indexeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s12649-021-01571-2es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1007/s12649-021-01571-2
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International