Climograph-Supported Assessment of Temperature-Precipitation Trends Using Classical and Innovative Statistical Methods in the Yeşilırmak Basin, Türkiye
WATER, cilt.17, sa.24, 2025 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 17 Sayı: 24
- Basım Tarihi: 2025
- Doi Numarası: 10.3390/w17243532
- Dergi Adı: WATER
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Environment Index, Geobase, INSPEC
- Gazi Üniversitesi Adresli: Evet
Özet
Understanding long-term variations in temperature and precipitation is essential for interpreting regional hydroclimatic behavior and detecting potential shifts in water availability. This study analyzes annual and seasonal temperature-precipitation trends in the Ye & scedil;il & imath;rmak Basin, T & uuml;rkiye, using data from seven meteorological stations over a 38-year period (1975-2012). The Randomness Test, Mann-Kendall (MK), and Innovative Trend Analysis (ITA) were applied to detect trends. In addition, a climograph was constructed to characterize seasonal climatic patterns. The climograph for Tokat and D & ouml;kmetepe stations shows May precipitation to be 40-50% higher than in winter, while August precipitation is nearly 89% lower than in May. Temperatures rise by approximately 20 degrees C from January to July, reflecting continental climatic characteristics influenced by the semi-arid transition between northern and central T & uuml;rkiye. Results indicate statistically significant warming trends at confidence levels above 90%, particularly during summer and autumn, with autumn temperatures increasing by approximately 0.03-0.05 degrees C per year (Z = 2.3-2.5) at most stations. Precipitation exhibited moderate increases at certain stations, while overall patterns remained steady. While MK and ITA yielded largely consistent results, ITA proved advantageous in weak or borderline cases by detecting structural patterns across value zones. Across all seasonal and annual analyses, ITA identified additional trends in approximately 83% of the cases where MK detected no significant change, corresponding to 25 out of 30 seasonal comparisons. Moreover, in over 92% of statistically significant MK results, ITA outcomes were fully consistent, reinforcing its robustness.