Municipal Solid Waste Fractions and Their Source Separation: Forecasting for Large Geographical Area and Its Subregions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU134049" target="_blank" >RIV/00216305:26210/19:PU134049 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s12649-019-00764-0" target="_blank" >https://link.springer.com/article/10.1007/s12649-019-00764-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12649-019-00764-0" target="_blank" >10.1007/s12649-019-00764-0</a>

Result language

angličtina

Original language name

Municipal Solid Waste Fractions and Their Source Separation: Forecasting for Large Geographical Area and Its Subregions

Original language description

This paper introduces an approach toward forecasting municipal solid waste and its fractions in a large geographical area divided into subregions. A multi-commodity system, where components overlap between streams of residual waste and separately collected recyclables, is developed to predict composition, future amounts and separation efficiencies. The approach combines a reconciliation-based balancing model with regression analysis and time series analysis. Regression analysis provides models which are later used to get complete information for all nodes of tree-like structure describing the geographical area of interest. Time series analysis proposes initial models on future amounts for all fractions. The balancing model with newly formulated composition constraints corrects initial estimates, which is a key issue especially for short-time series where precise extrapolation models can hardly be secured. The developed approach contributes to analysing rational recovery targets by reflecting the current situation in individual (micro) regions and, at the same time, it exploits examples of good practice from regions with high recovery rates. Here the analogy with rigorous regression models (historical data from one region can serve as one scenario for another region) is utilised. The algorithm is demonstrated through a case study inspired by an extensive project for the Ministry of the Environment of the Czech Republic.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

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

Name of the periodical

Waste and Biomass Valorization

ISSN

1877-2641

e-ISSN

1877-265X

Volume of the periodical

11

Issue of the periodical within the volume

2

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

18

Pages from-to

1-18

UT code for WoS article

000519980600025

EID of the result in the Scopus database

2-s2.0-85070089971