Analysis of Spatial Statistics of Dust Khuzestan Province
Subject Areas :
Ahmad Reza Nakhaie Nezhad Fard
1
()
Marzieh Mogholi
2
()
Keywords: Dust Khuzestan Province Hot and Cold Spots Moran Structure Spatial Autocorrelation,
Abstract :
Khuzestan Province is adjacent with some great deserts that the dust of these deserts are continually entering this province. Understanding the spatial pattern of these dust is of great help when planning to mitigate its effects. Therefore, the aim of this study was to determine the best inter-discipline of the dust and then to analyze the spatial statistics of the dust in Khuzestan province during the period 1995-2016. The results showed that the method of reverse weighing with a coefficient of 0.75 is the best model for the microscope zonation. Analysis of the spatial statistics of the dust phenomenon in Khuzestan province shows that we have witnessed clustering of days with dust in the province over the years. The clustering maps of spatial autocorrelation of the dust using the Moran statistics show that in general, the northwest and western regions of province during the studied period have high clusters and the southern, eastern, southeastern and the southwest have low clusters in the province. In 1995, the highest Moran coefficient was (Moran Index = 1/008797) and in 2008 the lowest Moran coefficient was (Moran Index = 0/996831), indicating the highest and lowest number of cluster dust days in 1995 and 2008. The results of hot and cold spots in Khuzestan province during the statistical period show that mainly the north and northwest regions contain hot spots, which means more frequent days of dust in these areas of the province during the studied time period.
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