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Ondokuz Mayıs Üniversitesi (2018)

Investigation of climatic characteristics of Çorum province with different climatic models

BAYGÜL Mustafa

Titre : Investigation of climatic characteristics of Çorum province with different climatic models

Çorum ili iklim özelliklerinin farklı iklimsel modellemeler ile araştırılması

Auteur : BAYGÜL Mustafa

Université de soutenance : Ondokuz Mayıs Üniversitesi

Grade : Master Thesis 2018

Résumé
In this study, the climate characteristics of the province of Corum in the Black Sea Region of the Black Sea Region and the climatic group according to different climate models have been examined. The study area is Corum province borders. One of the most important difficulties encountered in climate studies today is the lack of sufficient station data. Many of the meteorological stations are located immediately behind the shores in the centers, which are located in the cities and coast to the sea. However, the fact that there are not enough meteorological stations in the inner areas and mountainous areas where the altitude is increased is a big deficiency. Depending on these reasons, appropriate value assignment is made to the land using interpolation techniques with the help of developing computer systems and geographic information systems. Thus, in the past, only the points that can be taken along the lines are determined pixel by pixel with new techniques. As a research climate feature, Black Sea has the "transitional climate of coastal regions where winter colds are effective" between the "humid temperate-marine climate type" of coastal regions and the "semi-arid-continental climate type" of Central Anatolia. In addition, the climatic groups in which the study area is located in the direction of the data obtained by applying different climatic models such as Köppen-Geiger, De Martonne-Gottmann, Thornthwaite, Erinç and Aydeniz. In addition, Spearman Rho, Mann Kendall and Sen’s T test trend analysis methods were used in this study In the study area, using GIS as well as meteorological data, maps were prepared by using the Radial Basis Function method in the Geostatistical Analyst section of ArcGIS 9.3 program and the study was taken as a whole

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Page publiée le 9 janvier 2023