Statistical investigation of change in meteorological data of Ardahan province Ardahan ilinin meteorolojik verilerindeki değişimin istatistiksel olarak incelenmesi
Gumushane Universitesi Fen Bilimleri Dergisi, cilt.14, sa.1, ss.208-226, 2024 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 14 Sayı: 1
- Basım Tarihi: 2024
- Doi Numarası: 10.17714/gumusfenbil.1242946
- Dergi Adı: Gumushane Universitesi Fen Bilimleri Dergisi
- Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.208-226
- Anahtar Kelimeler: Ardahan, Climate change, Mann Kendall (MK), Sen’s slope, Trend analysis
- Atatürk Üniversitesi Adresli: Evet
Özet
The harmful effects of factors such as human-induced effects, greenhouse gases, fossil fuel consumption, urbanization and destruction of agricultural lands on the environment and climate change are increasing day by day. All these changes can create undesirable and permanent effects on human health, living species and the environment. The analysis of climate parameters on a regional basis is very important in understanding the effects of climate change and taking the necessary predictable steps to reduce its harmful effects. This study analyzes changes in various climate parameters of Ardahan province, such as temperature, precipitation amount, wind speed and sunshine duration. For this purpose, the changes in the three-year averages of the climate parameters measured by Ardahan Meteorological Station between 2001-2021 are analyzed. In addition, non-parametric Mann Kendall and Sen slope methods are applied to climate parameters, and monthly, seasonal and annual values of each parameter are evaluated according to the statistical significance level of 5%. As a result, increasing trends in the temperature values of the region and decreasing trends in the average precipitation, relative humidity and average wind speed values are determined. Thus, this study aims to understand the impacts of climate change and manage risks, as well as to provide the necessary climate data for thermal energy projects planned to be carried out in the region.