AI Summary & Key Takeaways
AI InsightStrong variations ofPM2.5 and its species above on a timescale of seasons indicated that the local sources, such as coal combustionand biomass burning, dominated the local atmospheric pollutants.
📌 3 Key Takeaways
Özet
Daily PM2.5 samples were collected at a rural site in North China for four consecutive seasons from summer of2015 to spring of 2016. Results revealed that the studied rural area suffered from severe PM2.5 pollution with itsannual average concentration of 109.6 ± 45.0 μg m−3, which was about 3.1 times higher than the national airquality standard of China. Among all identified species, water soluble inorganic ions (WSIIs) were the majorcomponent, accounting for 46.0 ± 11.1% of PM2.5 mass. The sum of element carbon (EC) and organic carbon(OC) accounting for 24.1 ± 11.5%. The trace elements accounted for about only 2% of PM2.5 mass. The resultsof the chemical mass balance of PM2.5 showed that 74–99% of the PM2.5 mass can be reconstructed by theidentified species. SNA (the sum of SO42−, NO3− and NH4+) and particulate organic matter (POM) were evidenttwo kinds of predominant components of the PM2.5, which together accounted for ~60%, with seasonal variations. Mineral dust and EC accounted for ~8% and ~7%, respectively. The trace element oxide (TEO), biomassburning-derived K+ and coal combustion-derived Cl− together represented about 10%. Strong variations ofPM2.5 and its species above on a timescale of seasons indicated that the local sources, such as coal combustionand biomass burning, dominated the local atmospheric pollutants.