The Forecasting Waste Generation Model based on Linked Open Data and the DPSIR Framework. Case study concerning municipal waste in the Czech Republic
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| Year of publication | 2016 |
| Type | Appeared in Conference without Proceedings |
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| Description | Current waste generation forecasting models provide tools to assess the efficiency of waste management plans (WMP) of the European Union (EU) Member States (MS) implementing the EU action plan for the Circular Economy (CE). These tools are based on environmental as well as economic and social perspectives, and thus will enable making the appropriate decisions to improve the national WMP performance. The paper presents developed multi-linear regression models for waste streams through linked open data of the Czech Republic and sets of indicators (predictors) integrated into forecasting models that measure the effectiveness in which WMPs operate in waste management to fulfil the CE vision. The methodology consisted in adjusting predictors of the forecasting models into a Driving Force-Pressure-State-Impact-Response (DPSIR) framework developed by the European Environment Agency in 1999. The most relevant predictors were chosen through a selection process that included experts´ opinions and a literature review based on relevance and applicability to different waste streams setting. The appropriate predictors were selected and fitted into the DPSIR framework. The construction of the forecasting model consisted of construction and definition of the predictors based on the DPSIR framework; integration of the predictors into the forecasting models; a sensitivity analysis of the models; implementation of the forecasting models in open source software and its verification using appropriate data, and choosing prevention scenarios to follow the EU action plan for the Circular Economy. The four-step outputs of the developed forecasting model are presented for municipal waste of the Czech Republic. |
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