Document Type : Research Article
Authors
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1Assistant Professor, Department of Soil Conservation and Watershed Management Research, Kerman Agricultural and Natural Resource Research Center, Agricultural Research, Education and Extension Organization, Kerman, Iran.
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1Assistant Professor, Department of Soil Conservation and Watershed Management Research, Kerman Agricultural and Natural Resource Research Center, Agricultural Research, Education and Extension Organization, Kerman, Iran. Hamzah.4900@yahoo.com
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3- Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
10.22067/geoeh.2024.87528.1476
Abstract
Dust storms have become a serious problem in Iran and the scope of this problem is increasing day by day. In order to evaluate meteorological data and satellite images in detection of dust phenomenon in Kerman province, data from thirteen synoptic stations of the province for a period of 20 years from 2000 to 2020 were received from IRIMO and MODIS images were used. In order to detect dust codes 06, 07 and algorithms such as Ackerman, TDI, TIIDI, Roskovensky and Liou, NDDI and Miller were used. The results showed that Sirjan station has the highest occurrence of dust with local and regional origin and Golbaf has the lowest occurrence. Bam station has the highest annual frequency and the least occurrence is Babak city with 2 days of dust. Among the studied algorithms, TIIDI and TDI algorithms have a better performance among other algorithms. In total, annual frequency data with horizontal vision of 1000 meters and less indicates an increasing trend in occurrence of dust storms from 2000 to 2011 and then has gone down until 2020.Among the studied algorithms, TIIDI and TDI algorithms have a better performance among other algorithms. In total, annual frequency data with horizontal vision of 1000 meters and less indicates an increasing trend in occurrence of dust storms from 2000 to 2011 and then has gone down until 2020.Among the studied algorithms, TIIDI and TDI algorithms have a better performance among other algorithms. In total, annual frequency data with horizontal vision of 1000 meters and less indicates an increasing trend in occurrence of dust storms from 2000 to 2011 and then has gone down until 2020.
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