Multi-Method Observation and Numerical Simulation of a PM2.5 Pollution Episode in Beijing in October, 2014
| Autor: | Dawei Zhang, Libo Pan, Baoxian Liu, Tian Chen, Teng Nie, Zhanshan Wang, Lingjun Li, Li Yunting, Xuan Li |
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| Rok vydání: | 2016 |
| Předmět: |
Pollutant
Pollution 010504 meteorology & atmospheric sciences Meteorology media_common.quotation_subject Atmospheric sciences Surface pressure 01 natural sciences Beijing General Circulation Model Environmental Chemistry Environmental science Relative humidity Stage (hydrology) Multi method 0105 earth and related environmental sciences media_common |
| Zdroj: | Aerosol and Air Quality Research. 16:1403-1415 |
| ISSN: | 2071-1409 1680-8584 |
| Popis: | Multi-method observation and numerical simulation were applied to analyze a PM_(2.5) pollution episode in Beijing in October, 2014. The results of vertical observation showed that surface-level backscatter signal and extinction coefficient increased during the episode, suggesting that air pollutants accumulated near the ground. The main meteorological factors during this episode could be described as calm wind, high relative humidity and low surface pressure. The evolution of PM_(2.5) concentrations in this episode was divided into four stages, including two-steps type concentration climbing stages (P1 and P2), high concentration maintenance stage (P3) and rapid cleanup stage (P4). Analysis on ground-based observation, satellite remote sensing and atmospheric general circulation showed that regional transport, including crop residue burning, was the main incentive of this pollution episode. Subsequently, local pollutants emission and regional transport maintained and aggravated the episode under unfavorable meteorological conditions. Temporal variation of OX was in close agreement with that of PM_(2.5) and the concentration peaks of OX occurred few hours before those of PM_(2.5), which indicated that strong atmospheric oxidation could promote the formation of secondary PM_(2.5). The results of numerical simulation showed that during 8-10 October, the average contribution of regional transport to PM_(2.5) in the five sites exceeded 50%. |
| Databáze: | OpenAIRE |
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