Abstract: Using the meteorological observational data from automatic weather stations and intensive weather stations, the radiosonde data, the weather charts and so on, the tracking analysis of sand-dust weather was developed by the PLAM (parameters of air quality and meteorology) index based on the sand dust deposited PSCF (potential source contribution function) method. A spline trend analysis method was also used to investigate the strength variability of the SDS systems. The distributions of sand dust weather from 1980 to 2011 in North-East Asia region were presented. The annual variation of sand dust weather process was studied using a spline trend analysis method. The results show that the annual intensity variation of sand dust weather process is not in a monotonously decreasing trend and it has a wave change status with both a historical persistence and abrupt transition. Meanwhile, it has a 10 years high-low oscillation.

Key words: Sand storm, Wave-like trends, PSCF method, Air quality PLAM index