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Waste production and treatment modelling for EU member states

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10424570" target="_blank" >RIV/00216208:11310/20:10424570 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26210/20:PU136728

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=jfFC.FooRD" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=jfFC.FooRD</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3303/CET2081116" target="_blank" >10.3303/CET2081116</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Waste production and treatment modelling for EU member states

  • Original language description

    The modern way of life places considerable demands on energy and material resources. The limited amount of primary resources and the burden on the environment have supported the circular economy&apos;s tendencies which has EU recently incorporated into its legislation as Circular Economy Package. The aim of this package is to turn waste into material or energy source. The waste treatment methods are also regulated in EU legislation through recycling and landfilling targets. Estimation of future waste production and treatment is a fundamental prerequisite for adjustments in waste management. The aim of this paper is to model the municipal solid waste production and treatment at a national level for the EU member states. The principles of linear regression were used to reveal the relationship between waste management data (waste streams production and treatment) and 19 socio-economic, demographic and other factors. Among the EU states, the resulting models explain at least 66 % of the variability in waste streams production and 52 % in case of waste treatment methods. The most influential variables are GDP, income and educational level of inhabitants. The results of these analyses could be used for forecasting production and waste treatment on the state level and can indicate the gaps between probable development and waste management targets set by the EU. The accuracy and comparability of waste production data across the EU should be further analysed. (C) 2020, AIDIC Servizi S.r.l.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008413" target="_blank" >EF16_026/0008413: Strategic Partnership for Environmental Technologies and Energy Production</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chemical Engineering Transactions [online]

  • ISSN

    2283-9216

  • e-ISSN

  • Volume of the periodical

    81

  • Issue of the periodical within the volume

    Neuveden

  • Country of publishing house

    IT - ITALY

  • Number of pages

    6

  • Pages from-to

    691-696

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85092176279