بررسی مخاطرات دما در استان کرمانشاه با تاکید بر یخبندان و امواج سرمایی

The purpose of this study is to investigate the temperature limit indices in Kermanshah province. For this purpose, daily temperature data of ۱۹ synoptic stations from its establishment until ۲۰۱۸ and extreme temperature indices have been used. Studies have shown that glacial indices (IC) and cold waves (CW) have the highest correlation with other indices. Therefore, the mentioned indicators were considered as representative indicators and the trend and also the pattern of spatial autocorrelation were studied for these indicators. The I - Kendall method was used to examine the trend and the spatial index G * was used for the spatial autocorrelation model. The results showed that the glacial index in the eastern highlands has a maximum frequency for ۱ to ۶ days and has an increasing trend in the lowlands of the southwest. The cold wave index is also the most frequent in the eastern regions in all continuities and shows an increasing trend in parts of the province. The results of spatial autocorrelation pattern of G * index showed that the positive spatial autocorrelation pattern of cold and ice waves has been observed more in the eastern highlands of the province. The pattern of negative spatial autocorrelation is mostly formed in the western half of the province, i.e., the border areas of Iraq, which indicates the role of the Zagros elevation distribution in the formation of the glacial autocorrelation pattern in the province.

Keywords:

الگوی فضایی , دمای حداقل , دمای حداکثر , شاخص های حدی , من- کندال , RclimDex