Spatio-temporal variations and factors of a provincial PM 2.5 pollution in eastern China during 2013–2017 by geostatistics

摘要: Fine particulate matter (PM2.5) is a typical air pollutant and has adverse health effects across the world, especially in rapidly developing China due to significant pollution. The PM2.5 pollution varies with time space, dominated by locations owing differences geographical conditions including topography meteorology, land use characteristics of urbanization industrialization, all which control formation influencing various sources transport PM2.5. To characterize these parameters mechanisms, 5-year patterns Jiangsu province eastern high-resolution was investigated. Kriging interpolation method geostatistical analysis (GIS) HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were conducted study spatial temporal distribution at 110 sites from national quality monitoring network covering 13 cities. studied region obvious, although annual average concentration decreased previous 72 recent 50 μg m−3. Evident variations showed high level winter low summer. Spatially, higher northern (inland, heavy industry) than that (costal, plain) regions. Industrial contributed highest Backward trajectory clustering potential source contribution factor (PSCF) indicated monsoon climate played an important role aerosol transport. In summer, mass mainly affected updraft near region, accounted for about 60% total number trajectories, while winter, long-distance northwest had impact on