نوع مقاله : مقاله پژوهشی
موضوعات
عنوان مقاله English
نویسندگان English
In recent years, climate extreme events have increased compared to the past. With the aim of spatio-temporal analysis of extreme precipitation indices in Ardabil province, the daily precipitation data of Khalkhal, Ardabil, and Parsabad synoptic stations in the common statistical period of 1993-2020 were used. Extreme precipitation indices were calculated using the RClimDex software package and their trend were calculated based on the Mann-Kendall test and the Sen’s slope estimator. The results showed that in the center and south of Ardabil province, none of the extreme precipitation indices had an increasing trend, and most of the extreme indices had a decreasing trend (non-significant). In the north of Ardabil province (Parsabad), most of the extreme precipitation indices had an increasing trend (non-significant). The trend of the CDD and R95p extreme indices in the whole of Ardabil province was decreasing (non-significant). The highest decreasing slope of the CDD index with -0.32 days per year, was in Parsabad and the highest decreasing slope of the R95p index with -0.87 mm per year, was in Ardabil. The Rx1day, Rx5day, SDII, and R99p indices in the north of the province were increasing with a slope of +0.07 mm (per year), +0.07 mm (per year), +0.02 mm per day (per year), and 0.1 mm (per year), respectively. And in Ardabil and Khalkhal, there was a decrease or no trend. The R10mm index was increasing in Parsabad (0.1 days per year), decreasing in Ardabil (0.07 days per year), and there was no trend in Khalkhal. The trend of changes in total annual precipitation at the Khalkhal and Parsabad synoptic stations is increasing (non-significant) with a slope of 0.05 and 1.30 mm/year, respectively, and decreasing (non-significant) at the Ardabil synoptic station with a slope of -1.41 mm/year. In general, the trend of none of the extreme precipitation indices in Ardabil province was insignificant (at the 95% level). The results of the present research can be useful in the field of extreme precipitation events, such as floods and droughts.
کلیدواژهها English