Continue wavelet transform application on variation regularities of dust storms activities in Siziwang County, China

The study focused on the annual dust storm time series of past 36 years in Siziwang County, China. Based on the MHF wavelet method, the temporal-frequency multi-time scale variations and jumping features of dust storm days was analyzed. Then, reveal the periods and turning points of dust storm series in different time-scale and forecast dust storm activities in the following years. The results show that the variations of dust storm activities in Siziwang County, China. It also found that approximate 17-year period-oscillation of dust storm activities variations is the strongest. In final the wavelet coefficients patterns exhibit a probable increasing trend in dust storm in the following years. It shows dust storm activities will increase in short periods.