Spatial and temporal distribution characteristics and influencing factors analysis of particulate matter pollution in Jinan City

Abstract

With the development of economy, PM2.5 and PM10 have already become primary air pollutants that seriously affect people’s life and health. As the capital city of Shandong Province, Jinan’s atmospheric environment quality is not optimistic. In the work, hourly PM2.5 and PM10 data were collected in Jinan from 2017 to 2019 to reveal the temporal and spatial variation of local particulate matter and its influencing factors. From 2017 to 2019, the average concentrations of PM2.5 and PM10 decreased by 17.61% and 15.87%, respectively, indicating the effects of efficient control measurements during this period, but which still exceeded the annual limit of the grade II standard. The concentrations of PM2.5 and PM10 were highest in winter and lowest in summer. In addition, the diurnal variation pattern of PM2.5 and PM10 was consistent, which was double peak and double trough pattern. Correlation analysis showed that PM2.5 and PM10 were negatively correlated with temperature and positively correlated with atmospheric pressure, NO2, SO2, and CO, indicating that both meteorological factors and secondary aerosol generation had a strong impact on local particulate pollution. In terms of spatial distribution, both of them showed a general trend that was higher in the north and lower in the south, which was closely related to the distribution of local pollution sources. The results of wavelet analysis showed that PM2.5 and PM10 expressed alternate fluctuation on 34, 69, and 172 days time scales. Long-distance transmission had certain contribution to the local particulate matter concentration, and its potential contribution was mainly from the northern, northwestern, and southwestern areas of Jinan. Through the analysis of atmospheric particulate matter in Jinan city, the results shown herein provide a scientific insight into the impact factors of air pollution in Jinan city.