Identification and Analysis of Sets Variables for of Municipal Waste Management Modelling
Krzysztof Nęcka , Tomasz Szul , Jarosław Knaga
AbstractDue 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.
|Journal series||Geosciences, [Geosciences (Switzerland)], ISSN 2076-3263, e-ISSN 2076-3263, (N/A 70 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||municipal waste; sustainable waste management; ecological modelling; forecasting the amount of waste; limiting the impact of waste on the environment|
|License||Journal (articles only); author's original; ; after publication|
|Publication indicators||= 0; : 2018 = 0.823|
|Finansowanie||This research was financed by the Ministry of Science and Higher Education of the Republic of Poland|
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