Şevgin Fatih, Öztürk Ali
Vocational School of Technical Sciences, Muş Alparslan University, 49100, Muş, Turkey.
Sci Rep. 2024 Aug 6;14(1):18207. doi: 10.1038/s41598-024-68164-6.
Global climate change notably influences meteorological variables such as temperature, affecting regions and countries worldwide. In this study, monthly average temperature data spanning 73 years (1950-2022) were analyzed for 28 stations in the city centers across seven regions of Turkey. The station warming rates (SWR) were calculated for selected stations and the overall country using Singular Spectrum Analysis (SSA) and Least Square Polynomial Fit (LSPF) methods. The temperature trend in Turkey exhibited a decline until the late 1970s, followed by a continuous rise due to global warming. Between 1980 and 2022, the average SWR in Turkey was found to be 0.52 °C/decade. The SWR was determined to be the lowest in Antakya (0.28 °C/decade) and the highest in Erzincan (0.69 °C/decade). The relationship between SWR and latitude, longitude, altitude, and distance to Null Island (D2NI) was explored through linear regression analysis. Altitude and D2NI were found to be the most significant variables, influencing the SWR. For altitude, the correlation coefficient (R) was 0.39 with a statistically significant value (p) of 0.039. For D2NI, R, and p values were 0.39 and 0.038, respectively. Furthermore, in the multiple regression analysis involving altitude and D2NI, R and p values were determined to be 0.50 and 0.029, respectively. Furthermore, the collinearity analysis indicates no collinearity between altitude and D2NI, suggesting that their effects are separated in the multiple regression.
全球气候变化显著影响温度等气象变量,影响着世界各国和地区。在本研究中,分析了土耳其七个地区市中心28个站点73年(1950 - 2022年)的月平均温度数据。使用奇异谱分析(SSA)和最小二乘多项式拟合(LSPF)方法计算选定站点和整个国家的站点变暖率(SWR)。土耳其的气温趋势在20世纪70年代末之前呈下降趋势,之后由于全球变暖而持续上升。1980年至2022年期间,土耳其的平均站点变暖率为0.52℃/十年。安塔基亚的站点变暖率最低(0.28℃/十年),埃尔津詹的最高(0.69℃/十年)。通过线性回归分析探讨了站点变暖率与纬度、经度、海拔以及到零岛的距离(D2NI)之间的关系。发现海拔和到零岛的距离是影响站点变暖率的最重要变量。对于海拔,相关系数(R)为0.39,统计显著性值(p)为0.039。对于到零岛的距离,R和p值分别为分别为与0.39和0.038。此外,在涉及海拔和到零岛的距离的多元回归分析中,R和p值分别确定为0.50和0.029。此外,共线性分析表明海拔和到零岛的距离之间不存在共线性,这表明它们在多元回归中的影响是分开的。