FIRAT HAVZASINDA BULUNAN BAZI İLLERİN SICAKLIK VE NEM MODELLERİ

Abstract

Bu çalışma, meteorolojik değerler kullanılarak, Fırat havzasında bulunan Elazığ, Diyarbakır, Şanlıurfa ve Mardin illerinin sıcaklık değişimi 23 yıllık rasat süreci esas alınarak (1996-2018) incelendi ve modellemesi yapıldı. İllerin yıllık ortalama sıcaklık, kış ayları Ocak, Şubat ve Aralık ayları düşük sıcaklık ve yaz ayları Haziran Temmuz ve Ağustos ayları ortalama yüksek sıcaklıkları ile relatif nem modelleri araştırıldı. Modellerin yardımı ile ileriki yıllar için sıcaklık ve nem tahminlerinin yapılacağı ve enerji ile ilgili çalışmalarda kullanılabileceği görüldü. Population growth, green areas, industrialization, along with the lakes and ponds in the provinces have led to changes in the climate structures. This study was carried out for predicting the climate structures of provinces for the coming years. With this purpose in mind, The meteorological measurement results for temperature and humidity parameters of Elazig, Diyarbakir, Şanlıurfa and Mardin provinces located in Euphrates River Valles were examined based on the 23 years of observation process (1996-2018). Annual average temperatures of the provinces (SO), along with the lowest temperature averages (EDSO) for winter season (January, February, December) and highest temperature averages (EYSO) of summer season (June, July, August) and the relative humidity models (RH) were analyzed, as well. While the temperature averages of the provinces located in the region showed an increasing change, the relative humidity values underwent a decreasing change. Polynomial type was identified for EDSO and EYSO model of the provinces, while designating the same for SO of Diyarbakır province, and exponential equation type for Elazığ, Şanlıurfa and Mardin provinces. Humidity models of four provinces are identified as linear equation type. In conclusion, using the temperature and humidity prediction models for the provinces in question concerning the coming years, i) it will be possible to identify the impacts of weather conditions on the environment; ii) it will be viable to make use of the studies concerning energy; iii) and it will be possible to minimize the installation costs and power expenses concerning the building heating & cooling fixtures to be settled based on the outdoor temperature parameters that are projected to be kept up-to-date.