List of Articles Moran index (I)

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  1 - Continuity analysis of spatial (spatial) dust patterns in Kermanshah province
  Mohammad Parvin Haasan Lashkari Reza Borna Mostafa Karam Pour
  The phenomenon of dust has become one of the natural hazards in the country today; A phenomenon that affects natural and human conditions with its harmful effects in various ways. Therefore, in this study, the continuity of dust spatial patterns in Kermanshah was invest More

  The phenomenon of dust has become one of the natural hazards in the country today; A phenomenon that affects natural and human conditions with its harmful effects in various ways. Therefore, in this study, the continuity of dust spatial patterns in Kermanshah was investigated and analyzed. For this purpose, dust statistics of 12 synoptic stations of the province during the statistical period 1987 to 2017 were obtained from the Meteorological Organization and after creating databases to identify the spatial patterns of dust in the province, the Moran spatial index (I) was used. Linear regression trend analysis was also used to examine the trend of changes. The results showed that the maximum incidence of dust in the province is mostly limited to the western half and the minimum incidence is more related to the eastern half of the province. Also, most of the persistence of dust in the province has been observed in the areas adjacent to the Iraqi border, which indicates that the dust of the province is trans-local. The results of spatial autocorrelation patterns also showed that the occurrence of two and ten days continuity in the western half of the province, ie Qasr Shirin and Sarpol-e-Zahab regions, formed a high (positive) cluster pattern and in the eastern half of the province, ie Songhar and Harsin regions, formed a low (negative) cluster pattern. Is. Spatial patterns on a monthly scale have also experienced a situation similar to spatial patterns lasting two to ten days. Examination of the change trend also showed that on a monthly basis, except for November and December, in other months, a significant upward trend is observed at the 95% confidence level. Also, in terms of seasonality, the most intense increasing trend of dust events is related to spring and summer seasons. Manuscript profile