Abstract
ABSTRACTComprehensively using Inverse Distance Weighted (IDW) analysis, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, three-dimensional (3D) cluster analysis, Weight Potential Source Concentration Function (WPSCF) analysis and other statistic methods, we mainly studied about the spatio-temporal variation, long-range transport and potential source regions of PM2.5 in Beijing during a short severe haze from Dec05 to Dec11, 2015. The results showed that the concentration of PM2.5 decreased from south to north of Beijing. PM2.5 accumulation in the short-severe haze had high correlation with calm and steady meteorological condition (high relative humidity (RH), low wind speed (WS), low boundary-layer temperature (BLT) and surface air pressure (SAP)). In addition, air-flow in different heights (500 m, 1500 m and 3000 m) had different effects on the haze episode and the air flows at 500 m had the greatest contribution of the air pollution. The potential sources were mainly from the desert in northwest of Beijing and the built-up areas in Jing-Jin-Ji zone. Higher WPSCF values (> 0.7) were mainly distributed in Hebei, west Shandong province (around 0.5) and south Tianjin (around 0.5).
Highlights
With rapid development of urbanization and industrialization in recent years, Beijing, as one of the most rapidly growth city in China, was severely influenced by the heavy haze, meaning composed of the fine particulate matter (Ping et al, 2017)
PM2.5 was relatively high after 16pm because of the quickly increasing vehicle emissions and the PM2.5 mass concentration had a slightly decreasing after the traffic restriction
The PM2.5 air pollution was heavier in the south of Beijing than in the north of Beijing generally
Summary
With rapid development of urbanization and industrialization in recent years, Beijing, as one of the most rapidly growth city in China, was severely influenced by the heavy haze, meaning composed of the fine particulate matter (i.e., with aerodynamic diameters not larger than 2.5 μm, or PM2.5) (Ping et al, 2017). Using Inverse Distance Weighted (IDW) analysis, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, three-dimensional (3D) cluster analysis, Weight Potential Source Concentration Function (WPSCF) analysis and other statistic methods, we mainly studied about the spatio-temporal variation, long-range transport and potential source regions of PM2.5 in Beijing during a short severe haze from Dec05 to Dec11, 2015.
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