Investigation and Forecasting of the Common Air Quality Index in Thessaloniki, Greece - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Investigation and Forecasting of the Common Air Quality Index in Thessaloniki, Greece

Résumé

Air pollution can affect health and well-being of people and eco-systems. Due to the health risk posed for sensitive population groups, it is important to provide with hourly and daily forecasts of air pollution. One way to assess air pollution is to make use of the Common Air Quality Index (CAQI) of the European Environment Agency (EEA). In this paper we employ a number of Computational Intelligence algorithms to study the forecasting of the hourly and daily CAQI. These algorithms include artificial neural networks, decision trees and regression models combined with different datasets. The results provide with a satisfactory CAQI forecasting performance that may be the basis of an operational forecasting system.
Fichier principal
Vignette du fichier
978-3-642-33412-2_40_Chapter.pdf (497.04 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01523061 , version 1 (16-05-2017)

Licence

Paternité

Identifiants

Citer

Ioannis Kyriakidis, Kostas Karatzas, George Papadourakis, Andrew Ware, Jaakko Kukkonen. Investigation and Forecasting of the Common Air Quality Index in Thessaloniki, Greece. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.390-400, ⟨10.1007/978-3-642-33412-2_40⟩. ⟨hal-01523061⟩
270 Consultations
134 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More