Dust is a climatic hazard that occurs more often in arid and semi-arid regions of the world, as well as in areas that are in the direction of the winds of desert regions. The main goal of this research is to identify the effect of teleconnection patterns on the number of days with dust storms in Kerman province during a 30-year statistical period (1988-2017), for this purpose Kerman, Anar, Sirjan, Shahrbabak and Bam stations It had long-term statistics and geographically covered the entire area of the province. The required data of this research is the number of dust days in the selected stations and the data of remote link patterns including the multivariate Enso (MEI) pattern, the Pacific Decadal Oscillation (PDO) pattern, the North Atlantic Oscillation (NAO) pattern, The Arctic pattern (AO), the multi-decadal North Atlantic pattern (AMO) and the Pacific Ocean temperature fluctuation pattern (NINO3.4) were received from the National Meteorological Organization and the National Oceanic Atmospheric Center, respectively. The results showed that the maximum average number of dust days occurred in spring and the minimum was in autumn. In terms of the effect of remote connection patterns on the studied stations, it can be said that Kerman, Anar and Shahrbabak stations are most affected by the AO pattern and the least effect is by the NINO, AMO and PDO patterns and Sirjan and Bam stations respectively. Also, they have had the most influence from the AMO pattern and the least effect from the NINO3.4 and MEI patterns. Also, the correlation results showed that the highest percentage of changes in dust days that can be explained by Teleconnection patterns is 25% in the winter season of Sirjan station and 22% in the spring season of Shahrbabak station. In other stations, the fluctuations of the number of dusty days, less than these values, were related to the link patterns from a distance.