The Forecasting Waste Generation Model based on Linked Open Data and the DPSIR Framework. Case study concerning municipal waste in the Czech Republic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F16%3A00090313" target="_blank" >RIV/00216224:14310/16:00090313 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/45249130:_____/16:N0000031

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Forecasting Waste Generation Model based on Linked Open Data and the DPSIR Framework. Case study concerning municipal waste in the Czech Republic

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Forecasting Waste Generation Model based on Linked Open Data and the DPSIR Framework. Case study concerning municipal waste in the Czech Republic

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

DM - Tuhý odpad a jeho kontrola, recyklace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů