Abstract
In this research, the frequency of dust storms was prepared at 87 synoptic stations for the period of 1987–2013. These data were classified by means of Fuzzy c-means clustering algorithm. Satellite images of MODIS and brightness temperature index were also used for detection and tracking dust storm of 30 Jun 4 July 2008. The results indicated that Iran is classified in five clusters by the dust-storm-frequencies from which, cluster 5 is reclassified in three clusters because of its wide range. The maximum number of days with dust storms was observed in cluster 1 that includes only Zabol station with the frequency of 790 days with the duration 1987–2013. The minimum number of days with dust storms was observed in cluster 5-3 that includes the stations located in portions of North, Northwest, Northeast Iran and the higher elevations of the Zagros in western Iran. A case study about a severe dust storm in Iran using satellite images indicate that brightness temperature index (BTI) is a desired index for detection and monitoring of dust storms. The source of the investigated dust storms is Iraq and South of the Arabian Peninsula that had influenced the western half of Iran in several days. The frequency of dust storms increased markedly in the west, southwest of Iran and Persian Gulf around as main receptors from emerging dusty areas but it increased slightly in the eastern half of Iran.
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Acknowledgment
The authors are grateful to Dr. Smaeil Dodangeh for his inputs in this work. We thank the Mohaghegh Ardabili University, Urmia University, MODIS Data Support Team and Iran Meteorological Organization (IRIMO).
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Zeinali, B., Asghari, S. Mapping and monitoring of dust storms in Iran by fuzzy clustering and remote sensing techniques. Arab J Geosci 9, 549 (2016). https://doi.org/10.1007/s12517-016-2575-7
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DOI: https://doi.org/10.1007/s12517-016-2575-7