Trend analysis the number of dusty days in the Sistan and Baluchistan province (IRAN) using non-parametric statistics(IRAN) Using Non-Parametric Statistics

Dust is an atmosphere catastrophe that its occurrence cause many damages in every aspect. Because of placing in dry and semi-dry region of the world, Iran is permanently subject to local dust and various synoptic system. 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-enough recorded data.
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.
Results of analyzing rate and orientation for different seasons showed that province level is not only significant in eastern part (Khash and Saravan Stations), but also in the other parts of the province.