Int. J. of Global Warming   »   2016 Vol.9, No.2

 

 

Title: Spatial correlations and distributions of climatic normals for heating, ventilation and air-conditioning in Turkey

 

Authors: Ilhami Yildiz; Jin Yue; Tri Nguyen-Quang; Joshua Lowrey; Asena Cansu Yildiz

 

Addresses:
Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro-Bible Hill, NS, B2N 5E3, Canada
Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro-Bible Hill, NS, B2N 5E3, Canada
Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro-Bible Hill, NS, B2N 5E3, Canada
Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro-Bible Hill, NS, B2N 5E3, Canada
Department of Law, Queen Mary, University of London, Mile End Road, London E1 4NS, UK

 

Abstract: Winter design dry-bulb temperatures at 99% and 97.5% frequency levels were developed and analysed by multiple regression and spatial correlations developed using as regressors altitude, latitude and longitude. Winter design dry-bulb temperatures were negatively related to altitude and latitude. Latitude was the most influential regressor on the winter design dry-bulb temperature distributions. Summer design dry- and wet-bulb temperatures, and wet-bulb depressions at 1%, 2.5% and 5% frequency levels were also developed and analysed by multiple regression and spatial correlations were developed using as regressors altitude, latitude and longitude. Altitude was the only statistically significant influential regressor on the summer design dry-bulb temperature distributions. Latitude was the most influential regressor on the summer design wet-bulb temperature distributions. Altitude was the only statistically significant influential regressor on the summer design wet-bulb depression distributions. Spatial correlations and distributions of prevailing wind speeds, mean daily ranges, and median of annual extreme temperatures were developed and mapped.

 

Keywords: spatial correlations; spatial distributions; engineering climatic data; heating ventilation air-conditioning; HVAC; built environment; thermal comfort; Turkey; dry-bulb temperatures; altitude; latitude; wet-bulb temperatures; wet-bulb depressions; longitude; winter design; summer design; prevailing winds; wind speeds; extreme temperatures.

 

DOI: 10.1504/IJGW.2016.074953

 

Int. J. of Global Warming, 2016 Vol.9, No.2, pp.152 - 176

 

Available online: 26 Feb 2016

 

 

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