Stratification and multi-representative optimization approach to waste composition analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F21%3A10433757" target="_blank" >RIV/00216208:11310/21:10433757 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/21:PU141181
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YE0EeCr6EU" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YE0EeCr6EU</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/S11081-021-09645-9" target="_blank" >10.1007/S11081-021-09645-9</a>
Alternative languages
Result language
angličtina
Original language name
Stratification and multi-representative optimization approach to waste composition analysis
Original language description
The amounts of mixed municipal waste in the EU countries differ during the last decades. Waste composition is influenced especially by the recent trends in the packaging of products that are daily purchased and the attitude towards sorting of municipal solid waste. Waste composition is one of the most important factors that shape future waste management planning. The sortable waste fraction in the mixed municipal waste specifies the potential for an increase in separation efficiency. The composition of the waste can be determined via analysis, but only a limited number of such analyses can be carried out. Moreover, the respective analysis is a challenging task and presents a complex statistical problem which must reflect many aspects of human activity. Appropriate waste sampling based on spatial stratification is crucial to estimate the waste composition quality in different regions. The waste samples for analysis are defined using principles of operational research to cover the regional variability. Mathematical models are developed to identify optimum clustering of waste generation areas. The principals and practice from local investigations are used to reveal waste composition. Decisions are made as to where to sample the waste and how many representative samples are necessary to faithfully describe the waste composition in the entire area. This means that suitable division into sub-areas and optimal choice of representative sub-areas in the sense of waste composition must be made. These results are then used to design the waste treatment infrastructure. The described approach to waste composition is also shown via a micro-region-level case study.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50402 - Demography
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Optimization and Engineering
ISSN
1389-4420
e-ISSN
—
Volume of the periodical
22
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
28
Pages from-to
1727-1754
UT code for WoS article
000655068100001
EID of the result in the Scopus database
2-s2.0-85106516874