Abstract

The aim of this study is to conduct a drought analysis at Kars station in the northeast of Turkey using six different meteorological parameters by utilizing The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method based on the entropy weight method. As of the input parameters of the study, the mean monthly rainfall, mean monthly maximum and minimum temperature, mean monthly relative humidity, mean monthly wind speed, mean monthly sunshine duration, obtained by the Kars meteorology station for 1990 and 2018 period are used. In the second section of the study, Mann–Kendall trend analysis was applied to TOPSIS results. The findings of this study indicated that the drought tends to increase in January, May and October. In the final section of the study, multivariate regression analysis, which accepts six different parameters as independent variables and TOPSIS drought index results as dependent variables, was performed. According to the findings of this study, there were no cases of extreme wet, severe wet, medium wet, severe drought and extreme drought at the Kars station. The driest months are May and June. The wettest months are March and November.

中文翻译：

---

使用基于熵权的 TOPSIS 方法进行干旱分析：土耳其 Kars 的案例研究

摘要

本研究的目的是利用基于熵权法的理想解相似度优先顺序技术（TOPSIS）方法，使用六种不同的气象参数在土耳其东北部的卡尔斯站进行干旱分析。作为研究的输入参数，使用了由卡尔斯气象站获得的 1990 年和 2018 年期间的月平均降雨量、月平均最高和最低温度、平均月相对湿度、月平均风速、月平均日照时数。在研究的第二部分，将 Mann-Kendall 趋势分析应用于 TOPSIS 结果。这项研究的结果表明，干旱在 1 月、5 月和 10 月趋于加剧。在研究的最后部分，多元回归分析，接受六个不同的参数作为自变量和 TOPSIS 干旱指数结果作为因变量。根据本次研究结果，卡尔斯站没有出现特湿、重湿、中湿、重旱和特大旱的情况。最干燥的月份是五月和六月。最潮湿的月份是三月和十一月。