Spatial and Temporal Distribution Characteristics of Dust Concentration Based on Satellite in Mining Area

Abstract In order to study the spatial and temporal migration characteristics of dust diffusion and the impact of mining dust on urban environment in Pingshuo mining area, the distribution law of PM2.5 and PM10 concentration in Pingshuo mining area was analyzed by satellite remote sensing monitoring technology. The results show that the correlation coefficients between the monthly average concentrations of PM2.5 and PM10 in Shuozhou City obtained by satellite inversion and the monitoring data of national control stations are 0.88 and 0.63, respectively, indicating a high reliability of satellite inversion data. The spatial distribution of dust concentration in Pingshuo mining area shows a low level in summer and autumn, and a high level in winter and spring, with significant dust accumulation phenomenon in winter. The air quality situation in Pingshuo mining area is best from June to September, with an increase in particle concentration in April and May, obvious pollution phenomena in January and March, and poor air quality conditions. The correlation analysis of dust concentration between urban areas and mining areas reveals a significant spatial discontinuity at the boundary between urban areas and mining areas, showing lower levels at the boundary while higher levels are observed within both urban areas as well as mining areas. This indicates that the mining area is not fundamentally responsible for the increase in dust concentration in urban areas, as changes in dust concentration within the mining area have no significant impact on urban areas.