Fizik

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Browsing Fizik by Author "Altınsoy, Hamza."

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    A new methodology for climate model selection and application to temperature, heat wave, WBGT and labor productivity analysis
    (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.) Altınsoy, Hamza.; Kurnaz, M. Levent.
    In this thesis, the answers to four main research questions are sought. The first effort is about the finding the most accurate model combinations to project intended climate variables. A new methodology is proposed and testified to achieve this purpose. CORDEX Project is the main model data source and monthly temperature is the observed climate variable over Europe, Africa, West Asia, Central and South America. The suggested methodology outreaches the favorite EWA (Equally Weighted Average) approach in climate studies. It is found that CSIRO as GCM and CLM as RCM is the best choice to simulate temperature patterns. Besides, another methodology is proposed to select daily data sets of the most successful model combinations. Moreover, a new definition of “extremely hot day” is proposed. The selected model combinations, new definition of extremely hot day and TLVs of NIOSH are used to estimate the future heat waves, Wet Bulb Globe Temperature (WBGT) and labor productivity. It is found that adverse effects of climate change over the Northern Europe, the Mediterranean Coastal, the Sub-Saharan and Northern Africa, the southern Arabian Peninsula, Brazil, Iran, Afghanistan, Pakistan and the eastern Turkey will be more devastating than the remaining parts of the World.
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    Correlation analysis of housing prices and economic indicators
    (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.) Altınsoy, Hamza.; Kurnaz, M. Levent.
    In this thesis, we analyzed the effects of economic indicators on house prices in eighteen countries. The economic indicators, which we used, are Gross Domestic Product (GDP), population, Consumer Price Index (CPI) and Retail Price Index (RPI). By using the statistical programme SVM (Support Vector Machine), we found clusters which show similar distributions of house prices under the effect of GDP and population. Furthermore, we found equations that relate house prices of countries to their CPI and RPI values and we tested these equations statistically using the software Eviews.