How Do the Artificial Control and Synoptic Situations Affect the Characteristics of Atmospheric Particulate Matters?

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Researchers found that PM2.5 showed different pollution characteristics and mechanisms under the artificial control and synoptic situations.

Due to the impact of the East Asian monsoon, subtropical high pressures, typhoons, and strong precipitation during the 2017 BRICS National Summit in Xiamen, Fujian Province experienced adverse weather conditions, making atmospheric pollution more complicated. This event provided a good opportunity to further study the pollution characteristics of atmospheric particulate matter under the influence of artificial control and synoptic situations.

To explore the impact of control measures and synoptic situations on the characteristics of atmospheric particles during the BRICS National Summit in Xiamen, the gaseous pollutants, water-soluble ions and organic carbon/elemental carbon of PM2.5 have been monitored online at high time resolution.

The whole study period was divided into six stages based on the air quality control measures and the synoptic situations. The results showed that the impact of control measures on PM2.5 concentration in S2-non-typhoon was weak because of stagnant meteorology. Typhoon decreased PM2.5 concentration significantly, and had more significant impact on the decline of secondary inorganic ions than carbonaceous components. PMF results showed that the secondary inorganic source was the most important source of PM2.5.

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