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One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling
Joint Authors
Nastos, Panagiotis T.
Moustris, K. P.
Paliatsos, A. G.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-03
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The present study, deals with the 24-hour prognosis of the outdoor biometeorological conditions in an urban monitoring site within the Greater Athens area, Greece.
For this purpose, artificial neural networks (ANNs) modelling techniques are applied in order to predict the maximum and the minimum value of the physiologically equivalent temperature (PET) one day ahead as well as the persistence of the hours with extreme human biometeorological conditions.
The findings of the analysis showed that extreme heat stress appears to be 10.0% of the examined hours within the warm period of the year, against extreme cold stress for 22.8% of the hours during the cold period of the year.
Finally, human thermal comfort sensation accounts for 81.8% of the hours during the year.
Concerning the PET prognosis, ANNs have a remarkable forecasting ability to predict the extreme daily PET values one day ahead, as well as the persistence of extreme conditions during the day, at a significant statistical level of P<0.01.
American Psychological Association (APA)
Moustris, K. P.& Nastos, Panagiotis T.& Paliatsos, A. G.. 2013. One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling. Advances in Meteorology،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-479712
Modern Language Association (MLA)
Moustris, K. P.…[et al.]. One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling. Advances in Meteorology No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-479712
American Medical Association (AMA)
Moustris, K. P.& Nastos, Panagiotis T.& Paliatsos, A. G.. One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling. Advances in Meteorology. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-479712
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479712