RELATIONSHIPS BETWEEN FINE PARTICULATE MATTER (PM2.5) AND METEOROLOGICAL FACTORS IN NORTHEAST CHINA FROM 2015 to 2017:A REGIONAL PERSPECTIVE

摘要

The relationships between fine particulate matter (PM2.5) and meteorological factors play a crucial role in air pollution analysis and prevention. This research has examined the spatio-temporal variability of PM2.5 concentrations in Northeast China and extracted the meteorological factors which correlated with the local PM2.5 concentrations based on multiple linear regression (MLR) and inverse distance weighting (IDW) from a regional perspective.The results showed that the variation in meteorology metrics included 13 predictor variables and these could explain up to 30~50% of the daily PM2.5 variability within the coastal areas,the Horqin Grassland and the Changbai Mountains areas.In other areas,meteorological factors had lower influences,the coefficients of determination being in the range 13~30%.The individual meteorological factors which correlated with local PM2.5 concentrations varied significantly, the maximum air temperature,extreme wind speed, precipitation and duration of sunshine were dominant factors in most areas of Northeast China,their effects being quite concentrated and homogeneously distributed.However,other meteorological factors were region-dependent,where,as in the case of relative humidity,the mean relative humidity had a key influence on the local PM2.5 concentrations in coastal areas and most semi-arid areas,whilst the minimum relative humidity was the dominant meteorological driver for PM2.5 concentrations in most humid and semi-humid areas.The results of this study may improve our understanding of the sensitivity of PM2.5 to meteorological conditions.