Trend Analysis the Number of Dusty Days in The Sistan and Baluchistan Province (IRAN) Using Non-Parametric Statistics

In this study, some available dusty day's data were analyzed to identify the trend of dusty day by synoptic stations in the Sistan and Baluchistan Province. It was identified that all selected weather stations have the complete, long-enoughrecorded data. To provide a preliminary view of a subjected climatology, the average number of days with dust yearly and monthly data have been examined. It was determined that inside of the study area, the occurrence of days with dust are not homogeneous and such phenomena increases from the south to the north. To review the trend of occurrence of dusty day's non-parametric statistical methods of Mann-Kendall was accordingly introduced to the data. Primary results showed that this method could be adapted for signifying of the existing trend types. Result showed that all stations have positive trend in monthly and yearly periods. But in warm months (May, June, July and August) positive trend are larger than other months.