Thermal comfort estimation in relation to different orientation in mountainous regions in Greece by using artificial neural networks

Global Nest Journal

Volumn 14, Issue 4, 2012, Pages 532-539

  Chronopoulos, K I ^a   Kamoutsis, A P ^a   Matsoukis, A S ^a  

^a AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Air temperature; Apodotia; Multilayer perceptron model; Parnassos; Relative humidity; Thermohygrometric index

Indexed keywords

EID: 84877258702     PISSN: 17907632     EISSN: None     Source Type: Journal    
DOI: 10.30955/gnj.000743     Document Type: Article

References (30)

1. Barry L.G., (2001), Mountain weather and climate, Second Edition, Routledge, Taylor and Francis Group, New York, USA.
2. Benavides R., Montes F., Rubio A. and Osoro K., (2007), Geostatistical modeling of air temperature in a mountainous region of Northern Spain, Agric. For. Meteorol., 146, 173-188.
3. Beniston M., (2003), Climatic change in mountain regions, Clim. Change, 59, 5-31.
4. Chronopoulos K.I., Tsiros I.X., Dimopoulos I.F. and Alvertos N., (2008), An application of artificial neural network models to estimatee air temperature data in areas with sparse network of meteorological stations, J. Environ. Sci. Health Part A, 43, 1752-1757.
5. Chronopoulos K.I., Tsiros I.X., Alvertos N. and Dimopoulos I.F., (2012), Estimation of microclimatic data in remote mountainous areas using an artificial neural network model-based approach, Global NEST Journal, 12(4), 384-389.
6. Didaskalou E.A. and Nastos P.T., (2003), The role of climatic and bioclimatic conditions in the development of health tourism product, Anatolia, An International Journal of Tourism and Hospitality Research, 14, 107-126.
7. Didascalou E.A., Nastos P.T. and Matzarakis A., (2007), Spa destination development using a decision support system - The role of climate and bioclimate, In: Developments in Tourism Climatology, Matzarakis A., de Freitas C.R. and Scott D., (eds.), Commission on Climate, Tourism and Recreation, International Society of Biometeorology, Freiburg, Germany, 58-165.
8. Fahlman S.E., (1988), Faster-learning variations on back-propagation: an empirical study, In: Proceedings of the 1988 Connectionist Models Summer School, Touretzky, D., Hinton, G.E., Sejnowski, T.J. (eds.), San Mateo, CA: Morgan Kaufmann, 38-51.
9. Fausett L., (1994), Fundamentals of Neural Networks, Prentice Hall, New York, USA.
10. Fletcher R. and Powell M.J.D., (1963), A rapidly convergent descent method for minimization, Computer Journal, 6,163-168.
11. Fletcher R. and Reeves CM., (1964), Function minimization by conjugate gradients, Computer Journal, 7, 49-154.
12. Friedland A.J., Boyce R.L., Vostral C.B. and Herrick J.T., (2003), Winter and early spring microclimate within a mid-elevation conifer forest canopy, Agric. For. Meteorol., 115, 195-200.
13. Geiger R., Aron R.H., Todhunter P., (2003), The climate near the ground, Sixth Edition, Rowman & Littlefield Publishers, Inc., Maryland, USA.
14. Guan B.T., Hsu H.W., Wey T.H. and Tsao L.S., (2009), Modelling monthly mean temperatures for the mountain regions of Taiwan by generalized additive models, Agric. For. Meteorol., 149, 281-290.
15. Guler M, Cemek B, Gunal H., (2007), Assessment of some spatial climatic layers through GIS and statistical analysis techniques in Samsun Turkey, Meteorol. Appl., 14,163-169.
16. Jendritzky G. and de Dear R. (2009), Adaptation and thermal environment, In: Biometeorology for Adaptation to Climate variability and Change, Ebi, K.L., Burton I. and McGregor, G.R. (eds.), Springer Science plus Business Media B.V., Germany, 9-32.
17. Kamoutsis A., Matsoukis A., Charalampopoulos I. and Chronopoulou-Sereli A., (2007), Biometeorological conditions in mountainous communities and adjacent urban center in Greece by the use of indices: The case study of mountainous Nafpaktia district, In: Developments in Tourism Climatology, Matzarakis A., de Freitas C.R. and Scott D., (eds.), Commission on Climate, Tourism and Recreation, International Society of Biometeorology, Freiburg, Germany, 144-149.
18. Kamoutsis A., Matsoukis A, Chronopoulos K. and Manoli E., (2010), A comparative study of human thermal comfort conditions in two mountainous regions in Greece during summer, Global Nest Journal, 12(4), 401-408.
19. Lin T.P. and Matzarakis A., (2006), Tourism climate and thermal comfort in Sun Moon Lake, Taiwan, Int. J. Biometeorol., 52, 281-290.
20. Matzarakis A. and Karagülle M.Z., (2007), Bioclimate information for Istanbul, In: Developments in Tourism Climatology, Matzarakis, A., de Freitas, C.R. and Scott D. (eds.), Commission on Climate, Tourism and Recreation, International Society of Biometeorology, Freiburg, Germany, 166-171.
21. Nastos P.T. and Matzarakis A., (2006), Weather impacts on respiratory infections in Athens, Greece, Int. J. Biometeorol., 50, 358-369.
22. Pape R., Wundram D. and Löffler G., (2009), Modelling near-surface temperature conditions in high mountain environments: an appraisal, Clim. Res., 39, 99-109.
23. Price M.F. (1995), Climate change in mountain regions: a marginal issue?, The Environmentalist, 15, 272-280.
24. Rumelhart D.E., Hinton G.E. and Williams R.J., (1986a), Parallel Distributed Processing Explorations, In The Microstructure of Cognition, Rumelhart, D.E., McClelland, J.L., (eds.), MIT Press, Bradfords Books: Cambridge, MA, Vol. 1, 318-362.
25. Rumelhart D.E, Hinton G.E. and Williams R.J., (1986b), Learning representations by back-propagating errors, Nature, 323, 533-536.
26. Tang Z. and Fang J. (2006), Temperature variation along the northern and southern slopes of Mt. Taibai, China, Agric. For. Meteorol., 139, 200-207.
27. Toy S., Yilmaz S. and Yilmaz H., (2007), Determination of bioclimatic comfort in three different land uses in the city of Erzurum, Turkey, Building and Environment, 42, 1315-1318.
28. Shank D.B., Hoogenboom G. and McClendon R.W., (2008), Dewpoint temperature prediction using artificial neural networks, J.Appl. Meteor. Climatol., 47,1757-1769.
29. Seemann J., (1979), Agrotopoclimatology. In: Agrometeorology, Seemann, J., Chirkov, Y.I., Lomas, J. and Primault, B. (eds.), Springer-Verlag, Berlin Heidelberg (Germany), 125-130.
30. Ustaoglu B., Cigizoglu H.K. and Karaca M., (2008), Forecast of daily mean, maximum and minimum temperature time series by the three artificial neural network methods, Meteorol. Appl., 15, 431-455.