Trend forecasting for waste generation with structural break
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10417242" target="_blank" >RIV/00216208:11310/20:10417242 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216305:26210/20:PU136587
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DngBmWQXQR" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DngBmWQXQR</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jclepro.2020.121814" target="_blank" >10.1016/j.jclepro.2020.121814</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Trend forecasting for waste generation with structural break
Popis výsledku v původním jazyce
For waste management planning, the adequate estimation of future waste production is crucial. Within waste production forecasting it is necessary to tackle with several challenges. The waste production data often consists of annual short time-series, but prediction horizon considers long-term estimation. Trend analysis seems to be a suitable approach for modelling waste production and its extrapolation. A methodology for forecasting waste generation based on historical data with a structural break is presented. To apply the approach, it is necessary to determine the estimation of separation potential. The principle is based on the idea of credibility theory where information from all territories is combined. Experience from other territories, which are more advanced in separation development, is used for forecasting. Finally, the population projection is taken into account to obtain information on absolute waste production. The case study is devoted to the forecasting of bio-waste production at the microregional level in the Czech Republic. There has been revealed an essential impact when population forecasting was included in the model. The increase in the average bio-waste production for microregions is expected. It will grow from 67 kg/cap/year in 2017 to 156 kg/cap/year in 2030. In 2030, most micro-regions would reach their potential based on this forecasting. (c) 2020 Elsevier Ltd. All rights reserved.
Název v anglickém jazyce
Trend forecasting for waste generation with structural break
Popis výsledku anglicky
For waste management planning, the adequate estimation of future waste production is crucial. Within waste production forecasting it is necessary to tackle with several challenges. The waste production data often consists of annual short time-series, but prediction horizon considers long-term estimation. Trend analysis seems to be a suitable approach for modelling waste production and its extrapolation. A methodology for forecasting waste generation based on historical data with a structural break is presented. To apply the approach, it is necessary to determine the estimation of separation potential. The principle is based on the idea of credibility theory where information from all territories is combined. Experience from other territories, which are more advanced in separation development, is used for forecasting. Finally, the population projection is taken into account to obtain information on absolute waste production. The case study is devoted to the forecasting of bio-waste production at the microregional level in the Czech Republic. There has been revealed an essential impact when population forecasting was included in the model. The increase in the average bio-waste production for microregions is expected. It will grow from 67 kg/cap/year in 2017 to 156 kg/cap/year in 2030. In 2030, most micro-regions would reach their potential based on this forecasting. (c) 2020 Elsevier Ltd. All rights reserved.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50402 - Demography
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Cleaner Production
ISSN
0959-6526
e-ISSN
—
Svazek periodika
266
Číslo periodika v rámci svazku
1 September 2020
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
16
Strana od-do
121814
Kód UT WoS článku
000552362200011
EID výsledku v databázi Scopus
2-s2.0-85085108933