Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model

Authors

  • Christos Liotiris
  • Zacharoula Andreopoulou

DOI:

https://doi.org/10.17700/jai.2022.13.1.636

Keywords:

Municipal waste, Recycling, Eurostat, Exploratory Data Analysis, Univariate time-series model

Abstract

Implementation of environmental policies, is one of the European Commission's key priorities, as confirmed by its proposal for the 7th Environment Action Programme and the Roadmap to a resource-efficient Europe. Subsequently, the European Union revised its waste legislation to address these challenges more adequately. As a result, the EU's Waste Framework Directive and Landfill Directive set binding targets for recycling municipal waste and diverting biodegradable municipal waste from landfills. This paper deals with the monitoring of municipal waste management operations in Greece, in terms of technical content and ability to reach the targets of the initiatives. In addition, a more detailed report on waste indicators published by Eurostat will be based on an Exploratory Data Analysis and on a Univariate time-series prediction model. Finally, the overall aim of this study is to gain maximum insight into the data and understand its underlying structure through graphical representation, to achieve the most accurate forecast for the landfilling operation.

Author Biographies

Christos Liotiris

PhD candidate Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Informatics

Zacharoula Andreopoulou

Professor Aristotle University of Thessaloniki, School of Forestry and Natural Environment, Laboratory of Forest Informatics

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Published

2022-03-18

How to Cite

Liotiris, C., & Andreopoulou, Z. (2022). Forecasting Landfilling Indicators Of Municipal Waste In Greece Using Univariate Time-series Model. Journal of Agricultural Informatics, 13(1). https://doi.org/10.17700/jai.2022.13.1.636

Issue

Section

Journal of Agricultural Informatics