PM 1 variability and transport conditions between an urban coastal area and a high mountain site during the cold season

To better understand the characterization and secondary organic aerosol (SOA) formation of volatile organic compounds (VOCs) during non-haze and haze days, ambient VOCs were continuously measured by a vehicle-mounted online thermal desorption system coupled with a gas chromatography-mass spectrometry (TD-GC/MS) system in Shanghai, China. The average concentrations of VOCs in haze episodes (193.2 μg m) were almost 50% higher than in non-haze periods (130.8 μg m). VOC concentrations exhibited a bi-modal pattern in the morning and evening rush hour periods on both non-haze and haze days. The ratios of toluene to benzene (T/B) and m,p-xylene to ethylbenzene (X/E) indicated that VOCs were aged air mass transported from nearby areas. The estimated SOA yields were 12.6 ± 5.3 and 16.7 ± 6.7 μg m for non-haze and haze days, respectively, accounting for 9.6 and 8.7% of the corresponding PM concentrations, which were slightly underestimated. VOCs-sensitivity (VOCs-S) based on a PM-dependent model was used to investigate the variation between VOCs and PM concentrations in the morning rush hour. It was found that VOCs were more sensitive to PM on clean days than during periods of heavy particulate pollution. VOCs-sensitivity was significantly correlated with the ratio of specific PM to background PM, with a simulated equation of y = 0.84x (r = 0.93, p< 0.001). Our findings suggest that strategies to mitigate VOC emissions and further alleviate haze episodes in Shanghai based on reducing gasoline vehicle-related sources would be very efficient.

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Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation

Han

Wang

Cheng

et al. 2017

Environ Sci Pollut Res

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Background atmospheric conditions of high PM10 concentrations in Istanbul, Turkey

Baltaci

Alemdar

Akkoyunlu

2020

Atmospheric Pollution Research

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Spatial and temporal (short and long-term) variability of submicron, fine and sub-10 μm particulate matter (PM1, PM2.5, PM10) in Cyprus

Pikridas

Vrekoussis

Sciare

et al. 2018

Atmospheric Environment

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PM 1 variability and transport conditions between an urban coastal area and a high mountain site during the cold season

Cited by 11 publications

References 35 publications

Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation

Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation

Background atmospheric conditions of high PM10 concentrations in Istanbul, Turkey

Spatial and temporal (short and long-term) variability of submicron, fine and sub-10 μm particulate matter (PM1, PM2.5, PM10) in Cyprus

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PM 1 variability and transport conditions between an urban coastal area and a high mountain site during the cold season

Cited by 11 publications

References 35 publications

Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation

Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation

Background atmospheric conditions of high PM10 concentrations in Istanbul, Turkey

Spatial and temporal (short and long-term) variability of submicron, fine and sub-10 μm particulate matter (PM1, PM2.5, PM10) in Cyprus

Contact Info

Product

Resources

About

Spatial and temporal (short and long-term) variability of submicron, fine and sub-10 μm particulate matter (PM1, PM2.5, PM10) in Cyprus