Identification and Analysis of Sets Variables for of Municipal Waste Management Modelling

Krzysztof Nęcka , Tomasz Szul , Jarosław Knaga

Abstract

Due to the large quantities of municipal waste generated, their harmful effects on the environment should be minimized. The rationalization of waste management is therefore necessary to achieve a more sustainable development system. In order to support the decision-making process for municipal waste management, this document focuses on developing models for practical use by local authorities in forecasting and managing the size of waste stream in their area. This action, because of its specificity, is a difficult task, especially because of the systemic changes made and the territorial differentiation and changes in the living level of the population. The work presents studies conducted in 2479 municipalities for which mass accumulation index forecasts were developed, using selected methods based on readily available input variables that have not yet been used (structure municipalities and typology of municipalities by scope of influence). The studies confirmed the hypothesis that the amount of municipal waste collected from households depends both on the administrative type of the municipality and on the factors related to the location and socioeconomic function of the area. The inclusion of localization and socioeconomic factors, which so far were not used to model the municipal waste stream, allowed for the reduction of the prediction error of this indicator. Relevant waste stream forecasts will allow local governments to achieve more effectively the objective of sustainable waste management and thus reduce their environmental impact. The achievement of this objective will be possible not only through the preparation of infrastructure to serve the projected waste volumes; it will also identify the waste management areas where the municipal waste reception process is inadequate. Thus, it will help to eliminate illegal processing and the landfill of waste.
Author Krzysztof Nęcka (FoPaPE / DoEaAPA)
Krzysztof Nęcka,,
- Department of Energy and Agricultural Process Automation
, Tomasz Szul (FoPaPE / DoEaAPA)
Tomasz Szul,,
- Department of Energy and Agricultural Process Automation
, Jarosław Knaga (FoPaPE / DoEaAPA)
Jarosław Knaga,,
- Department of Energy and Agricultural Process Automation
Journal seriesGeosciences, [Geosciences (Switzerland)], ISSN 2076-3263, e-ISSN 2076-3263, (N/A 70 pkt)
Issue year2019
Vol9
No11
Pages1-17
Publication size in sheets0.8
Article number458
Keywords in English municipal waste; sustainable waste management; ecological modelling; forecasting the amount of waste; limiting the impact of waste on the environment
ASJC Classification1900 General Earth and Planetary Sciences
DOIDOI:10.3390/geosciences9110458
URL https://www.mdpi.com/2076-3263/9/11/458/pdf
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
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Identification and Analysis of Sets Variables for of Municipal Waste Management Modelling of 30-10-2019
1,41 MB
Score (nominal)70
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.823
Citation count*
Additional fields
FinansowanieThis research was financed by the Ministry of Science and Higher Education of the Republic of Poland
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