مشخصات پژوهش

عنوان	Spatiotemporal variability of trend in extreme precipitations using fuzzy clustering over Northwest Iran
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Extreme precipitation indices, Northwest Iran, Trend Analysis, Mann- Kendall, Fuzzy clustering
چکیده	In recent decades, global warming has triggered precipitation extremes. Extreme Precipitations have many negative consequences on agriculture productions, water resources and ecosystems on the earth and cause several hydro-meteorological disasters. This research was conducted to analyze the spatiotemporal variability in nine extreme precipitation indices over a 30-year period (1987-2016) at identified clusters in Northwest Iran. The Mann Kendal test, Sen's slope estimator and fuzzy c-mean clustering were applied for this purpose. The findings showed that the spatial variation of most extreme precipitation indices (except wet dry days, CWD) is decreasing from the southwest to the north of the study area. The fuzzy c-mean clustering technique identified 2 and 5 categories with similar extreme precipitation indices. In the next step, the trends and Sen's slope estimator were calculated in the clusters. The results of MK test in a regional scale showed both downward and upward trend in all studied extreme precipitation indices. However, most of them were insignificant. Only two indices including annual wet day precipitation (PRCPTOT) and the Simple Daily Intensity Index (SDII) showed significant negative and positive trend over the Northwest Iran, respectively.
پژوهشگران	شهناز راشدی (نفر چهارم)، فرحناز خرم آبادی (نفر سوم)، احمدرضا قاسمی (نفر دوم)، مرضیه اسمعیل پور (نفر اول)