Climatic Effects on the Formation and Function of Architectures Based on the Climate in Semnan Province, Iran

Saeid  Kamyabi; Hooman  Mesgarian

doi:10.4236/oje.2014.49044

Saeid Kamyabi, Hooman Mesgarian^*

Abstract: Semnan province is one of the vast provinces of the country that has a variety of topographical and clamatorial conditions. This province plays a key role in industrial, agricultural and animal husbandry activities. The study of its climate potential with respect to its natural limitations like lack of water resources, soil types, droughts and desertification problems has been considered as a necessity in the province annual planning. In this study, the climatic regionalization of the province is done through using empirical and quantitative methods on climatic data of meteorological stations of the area in statistical period of 1982-2005. Methods of Koppen empirical, De Martonne, Emberger and Dr Karimi have divided the province into 3, 2, 4 and 6 climactic types, respectively. Using principle components and the cluster analysis on 14 climatic elements of 21 stations, 5 climatic types have been specified for the province. Based on this method, temperature, its Diurnal Temperature Range (DTR), precipitation and its type, and humidity contribute a great deal to the climate of the Semnan Province. The main results of this identification of 5 climatic types include hot & dry, dry & hot semi-dry, dry & cold semi-dry, mountainous, and Caspian climate.

Keywords: Climate Potential, Principle Components, Cluster Analysis, Semnan Province

Cite this paper: Kamyabi, S. and Mesgarian, H. (2014) Climatic Effects on the Formation and Function of Architectures Based on the Climate in Semnan Province, Iran. Open Journal of Ecology, 4, 543-553. doi: 10.4236/oje.2014.49044.

References

[1] Moradi, S. (2008) Regulation of Environmental Conditions. Shahidi Publication, Tehran.

[2] Ayali, H. (2009) Biomechanical Computations and Climatic Study of Fasa and Its Role to Design Construction in That Region. Fasa Branch, Islamic Azad University, Tehran.

[3] Heidari, H. (1999) Climatic Elements of Iran to Present a Classification Model. PhD Dissertation of Natural Geography, Tarbiat Modarres University, Tehran.

[4] Masoudian, S. (2003) Climatic Regions of Iran. Faculty of Humanities and Social Sciences, Isfahan University, Isfahan.

[5] Zahedi, M. (1993) To Determine Azerbaijan Climate Using Koppen Method. Publication of Faculty of Literature and Humanities, Tabriz University, Tabriz, No. 146.

[6] Alijani, B. (1995), Climate of Iran. Payam-e-Noor Publication, Payam-e-Noor.

[7] White, D. and Richman, M. (1991) Climate Regionalization and Rotation of Principal Components. International Journal of Climatology, 11, 1-25.

[8] Puvaneswaran, M. (1990) Climatic Classification for Queensland Using Multivariate Statistical Techniques. International Journal of Climatology, 10, 591-608. http://dx.doi.org/10.1002/joc.3370100604

[9] Bunkers, M.J., Miler, J.R. and DeGaetano, A.T. (1996) Definition of Climate Regions in the Northern Plains Using an objective Cluster Modification Technique. Journal of Climate, 9, 130-146.
http://dx.doi.org/10.1175/1520-0442(1996)009<0130:DOCRIT>2.0.CO;2

[10] Heidari, H. and Alijani, B. (1999) Climatic Classification of Iran Using Multivariate Statistical Techniques of Geographical Researches, No. 37.

[11] Kasmaei, M. (2006) Architecture and Climate. 4th Edition, Soil Publication.

[12] Alizadeh, A. (2001) Principles of Applied Hydrology. 13th Edition, Imam Reza Publication, Mashhad.

[13] Lorenz, E.N. (1956) Empirical Orthogonal Functions and Statistical Weather Prediction Science. Rep, 1, Statistical Forecasting Project Department of Meteorology, MIT, Cambridge.

[14] Mani, B.F.G., Translated by Moqadam, M., et al. (1994) Introduction to Multivariate Methods. Pishtaze Elm Publication, Tehran.

[15] Huth, R. (1996) An Intercomparison of Computer Assisted Circulation Classification Methods. International Journal of Climatology, 16, 893-922.

[16] Kalkstein, L.S., Nichols, M.C., Barthel, C.D. and Greene, J.S. (1996) A New Spatial Synoptic Classification: Application to Air Mass Analysis. International Journal of Climatology, 16, 983-1004.
http://dx.doi.org/10.1002/(SICI)1097-0088(199609)16:9<983::AID-JOC61>3.0.CO;2-N