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Dust is a phenomenon occurring in most parts of the world causing financial loss and adverse environmental effects and impacts. Many parameters are involved in dust phenomenon occurrence, some of which are natural and some of them are due to human processes and their influence on the environment. Monitoring the environmental changes can be worthwhile and efficient procrastination the occurrence of this phenomenon. In this research, we scrutinized the Persian and English database in a structured way using dust keywords, heavy metals, remote sensing, geographical information systems and statistical methods. Articles taking into consideration these three fields were retrieved, analyzed descriptively and reported. In accordance with this methodology, the study was conducted in a period from 1992 to 2016. Findings: Among the methods used, the method of interpolation, zoning of dust and their distribution with GIS is more applicable, and among satellite images, MODIS images are the most applicable ones. The results obtained from this study indicated that statistical methods, remote sensing and geographical information system are among effective tools in studying germane researches done on dust monitoring and detection.

Monitoring and investigating dust phenomenon on using remote sensing science, geographical information system and statistical methods