Application of Multiple Linear Regression Models and Artificial Neural Networks on the Surface Ozone Forecast in the Greater Athens Area, Greece
Joint Authors
Larissi, I. K.
Paliatsos, A. G.
Nastos, Panagiotis T.
Moustris, K. P.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An attempt is made to forecast the daily maximum surface ozone concentration for the next 24 hours, within the greater Athens area (GAA).
For this purpose, we applied Multiple Linear Regression (MLR) models against a forecasting model based on Artificial Neural Network (ANN) approach.
The availability of basic meteorological parameters is of great importance in order to forecast the ozone’s concentration levels.
Modelling was based on recorded meteorological and air pollution data from thirteen monitoring sites within the GAA (network of the Hellenic Ministry of the Environment, Energy and Climate Change) over five years from 2001 to 2005.
The evaluation of the performance of the constructed models, using appropriate statistical indices, shows clearly that in every aspect, the prognostic model by far is the ANN model.
This suggests that the ANN model can be used to issue warnings for the general population and mainly sensitive groups.
American Psychological Association (APA)
Moustris, K. P.& Nastos, Panagiotis T.& Larissi, I. K.& Paliatsos, A. G.. 2012. Application of Multiple Linear Regression Models and Artificial Neural Networks on the Surface Ozone Forecast in the Greater Athens Area, Greece. Advances in Meteorology،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-506124
Modern Language Association (MLA)
Moustris, K. P.…[et al.]. Application of Multiple Linear Regression Models and Artificial Neural Networks on the Surface Ozone Forecast in the Greater Athens Area, Greece. Advances in Meteorology No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-506124
American Medical Association (AMA)
Moustris, K. P.& Nastos, Panagiotis T.& Larissi, I. K.& Paliatsos, A. G.. Application of Multiple Linear Regression Models and Artificial Neural Networks on the Surface Ozone Forecast in the Greater Athens Area, Greece. Advances in Meteorology. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-506124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506124