RESEARCH ON TEMPORAL AND SPATIAL VARIATIONS OF ATMOSPHERIC PM_2.5 AND PM₁₀ AND THE INFLUENCING FACTORS IN SHANDONG, CHINA DURING 2013—2018

PM_2.5 and PM₁₀ pollutions have become important environmental problems which have attracted great attention in the world. Monitoring PM_2.5 and PM₁₀ pollutions is of great significance to human health, animal and plant growth, atmospheric environment assessment, etc. Based on the atmospheric PM_2.5 and PM₁₀ monitoring data of 17 cities in Shandong during 2013—2018, the paper studied spatial and temporal variation characteristics of PM_2.5 and PM₁₀ pollution in Shandong and analyzed the influence of meteorological factors, human factors and policy factors on them, using the temporal-spatial analysis method and the Spearman correlation analysis method. The results showed that: compared with 2013, the pollution extent of PM_2.5 and PM₁₀ in Shandong was significantly reduced in 2018, with an annual mean concentration dropped of 48.72% and 37.72% respectively; the presentation of the monthly PM_2.5 mean concentration variation in the studied six years was similar to the "U" shape change rule, and the monthly PM₁₀ mean concentration was similar to the "V" shape change rule; the overall pollution conditions of PM_2.5 and PM₁₀ showed a spatial trend of gradual reduction from the northwest inland to the eastern coastal area; the concentrations of PM_2.5 and PM₁₀ were significantly affected by the meteorological factors of temperature and precipitation, as well as the human factors of road density, urban green coverage, SO₂ and NO_x emissions, etc. Besides, meteorological and human factors had a greater impact on PM_2.5 concentration than PM₁₀ concentration.