عنوان مقاله [English]
Khuzestan province is located next to large deserts, and fine dust from these deserts enters this province continuously. Knowing the spatial pattern of these fine particles helps us a lot in terms of planning to reduce their effects. Therefore, the aim of the current research is to determine the best method of fine dust interpolation and then analyze the spatial statistics of fine dust in Khuzestan province in the period (1995-2016). The results showed that the inverse weighting method with a coefficient of determination of 0.75 is the best model for fine round zoning. The analysis of the spatial statistics of the dust cloud phenomenon in Khuzestan province shows that in all years we have seen the clustering of days with dust clouds in this province. Spatial autocorrelation clustering maps of fine dust using Moran's statistic show that in general, the northwestern and western regions of this province had high clusters of fine dust in the studied period, and the southern, eastern, southeastern, and southwestern regions They have small round bottom clusters. In 1995, the highest Moran coefficient (moran, s index = 008797.1) and in 2008, the lowest Moran coefficient (moran, s index = 996831.0) occurred, and it shows that the number of small round days is the most and the least clustered in It happened in 1995 and 2008. The results of maps of hot and cold spots in Khuzestan province in the statistical period of the study show that mainly the northern and northwestern regions of the province showed hot spots, which means that more days with fine dust occurred in these areas of the province in the studied period. .