Publication detail

Comprehensive review on waste generation modeling

ŠOMPLÁK, R. SMEJKALOVÁ, V. ROSECKÝ, M. SZÁSZIOVÁ, L. NEVRLÝ, V. HRABEC, D. PAVLAS, M.

Original Title

Comprehensive review on waste generation modeling

Type

journal article in Web of Science

Language

English

Original Abstract

Strategic plans for waste management require information on the current and future waste generation as a primary data source. Over the years, various approaches and methods for waste generation modeling have been presented and applied. This review provides a summary of the tasks that require information on waste generation that are most frequently handled in waste management. It is hypothesized that there is not currently a modeling approach universally suitable for forecasting any fraction of waste. It is also hypothesized that most models do not allow for modeling different scenarios of future development. Almost 360 publications were examined in detail, and all of the tracked attributes are included in the supplementary. A general step-by-step guide to waste generation forecasting, comprising data preparation, pre-processing, processing, and post-processing, was proposed. The problems that occurred in the individual steps were specified, and the authors’ recommendations for their solution were provided. A forecasting approach based on a short time series is presented, due to insufficient options of approaches for this problem. An approach is presented for creating projections of waste generation depending on the expected system changes. Researchers and stakeholders can use this document as a supporting material when deciding on a suitable approach to waste generation modeling or waste management plans.

Keywords

waste generation modeling; waste production; waste prediction and forecasting; projection; short time series

Authors

ŠOMPLÁK, R.; SMEJKALOVÁ, V.; ROSECKÝ, M.; SZÁSZIOVÁ, L.; NEVRLÝ, V.; HRABEC, D.; PAVLAS, M.

Released

10. 2. 2023

Publisher

MDPI

ISBN

2071-1050

Periodical

Sustainability

Year of study

15

Number

4

State

Swiss Confederation

Pages from

1

Pages to

29

Pages count

29

URL

https://www.mdpi.com/2071-1050/15/4/3278

Full text in the Digital Library

http://hdl.handle.net/11012/213575

BibTex

@article{BUT183244,
  author="Radovan {Šomplák} and Veronika {Smejkalová} and Martin {Rosecký} and Lenka {Szásziová} and Vlastimír {Nevrlý} and Dušan {Hrabec} and Martin {Pavlas}",
  title="Comprehensive review on waste generation modeling",
  journal="Sustainability",
  year="2023",
  volume="15",
  number="4",
  pages="29",
  doi="10.3390/su15043278",
  issn="2071-1050",
  url="https://www.mdpi.com/2071-1050/15/4/3278"
}