Evaluation of Particulate Matter 2.5 Pollution Prevention and Control Effectiveness around Coal-fired Power Plants in Jiangsu Province, China based on Remote Sensing Data

Abstract

Based on the China High-resolution Air Pollution near-surface air pollutant remote sensing dataset, the spatiotemporal variation characteristics of PM2.5 and four chemical components around 6 coal-fired power plants in fine particulate matter pollution hotspots in Jiangsu Province, China from 2016 to 2020 were analyzed. Combined with the power plant installed capacity and the power generation data is studied from three perspectives: inter-annual characteristics, seasonal changes and trend analysis. The results show that the concentrations of PM2.5 and chemical components (Cl-, NH4+, SO42-, NO3-) around major coal-fired power plants in Jiangsu Province have dropped significantly, with an average annual reduction of 3.43, 0.12, 0.32, 0.54 and 0.54μg/m3 respectively.The seasonal variation characteristics of chemical components are obvious, the seasonal variation of NO3- is the most significant, and the proportion of SO42- reaches its peak in summer. Spatial heterogeneity is significant. Compared with the northern region, the proportion of NO3- in the three power plants in southern Jiangsu is 3 percentage points higher overall, and the concentrations of SO42- and NO3-have dropped even more. In addition, secondary inorganic aerosols (SIA) represented by NH4+, SO42-, and NO3- have become the main driving factors of PM2.5 pollution from coal-fired power plants in areas along the Yangtze River in Jiangsu Province, among which NO3- is the main cause of PM2.5 pollution around coal-fired power plants in Jiangsu Province. The most important secondary components highlight the importance of NH3 and NOX control for the future prevention and control of PM2.5 pollution from coal-fired power plants in Jiangsu Province, China.