A51B-0021
Characterization of Semi-volatility of Atmospheric Submicron Particles at a Regional Background Site in North China
Abstract:
HE Lingyan1, HUANG Congni1, HUANG Xiaofeng11. Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
Abstract：The coupling of a Thermal Denuder (TD) with a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) was used in Xianghe, which is a regional background site in North China, during June - July, 2013 to on-line measure the mass concentrations and semi-volatilities of atmospheric submicron particles, including organic matter (OM), SO42- , NO3-, NH4+, and Cl-. The total PM1 mass concentration measured was averagely (47.9±47.3) mg/m3 during the campaign, with OM accounting for 38.2% of the total PM1 mass, followed by SO42- (33.7%), NH4+ (13.8%), NO3- (12.3%), and Cl- (2.0%). It was found that NO3- and Cl- had the highest semi-volatility, with about 60% of them evaporating into the gas phase by increasing the temperature to 50 °C, while SO42- showed the lowest semi-volatility, with almost 90% of its mass remaining in the particle phase at 50 °C. The semi-volatility of OM and NH4+ was at the middle level. The semi-volatility of NO3- was affected by the pollution level of the atmospheric submicron particles since it showed an increasing trend with the increasing of PM1 at 50 °C. The oxygen-to-carbon ration of organic aerosol was 0.47 to 0.60 by increasing the temperature from 50 ℃ to 200 °C. In addition, the semi-volatility of the PM1 species with vacuum aerodynamic diameters of 60-2000 nm was little size dependent. The calculation based on the high-resolution mass spectra of OM showed that CO2+-containing organic species had lower semi-volatility, while C4H9+-containing organic species had higher semi-volatility. The semi-volatility of OM was found to be negatively related to its oxidation state. The quantitative result of atmospheric submicron particles’ semi-volatility is essential to the research of the physicochemical properties and pollution mechanism of particles as well as the validation of the air quality models.