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
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上海非雾霾天和雾霾天挥发性有机化合物(VOC):特征和二次有机气溶胶(SOA)形成
DOI:
10.1007/s11356-017-9433-3
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发表时间:
2017-06
影响因子:
5.8
通讯作者:
Wang Heling
中科院分区:
文献类型:
--
作者:
Han Deming;Wang Zhen;Cheng Jinping;Wang Qian;Chen Xiaojia;Wang Heling
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−3) were almost 50% higher than in non-haze periods (130.8 μg m−3). 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−3for non-haze and haze days, respectively, accounting for 9.6 and 8.7% of the corresponding PM2.5concentrations, which were slightly underestimated. VOCs–sensitivity (VOCs–S) based on a PM2.5-dependent model was used to investigate the variation between VOCs and PM2.5concentrations in the morning rush hour. It was found that VOCs were more sensitive to PM2.5on clean days than during periods of heavy particulate pollution. VOCs–sensitivity was significantly correlated with the ratio of specific PM2.5to background PM2.5, with a simulated equation ofy= 0.84x−0.62(r2= 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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影响因子:
5
作者:
Wu, Xiangmei (May);Fan, Zhihua (Tina);Zhu, Xianlei;Jung, Kyung Hwa;Ohman-Strickland, Pamela;Weisel, Clifford P.;Lioy, Paul J.
通讯作者:
Lioy, Paul J.
DOI:
10.1016/j.scitotenv.2013.01.045
发表时间:
2013-04
期刊:
The Science of the total environment
影响因子:
--
作者:
Hiroyuki Yamada
通讯作者:
Hiroyuki Yamada
影响因子:
5
作者:
J. Nicolás;N. Galindo;E. Yubero;J. Crespo;Rubén Soler
通讯作者:
J. Nicolás;N. Galindo;E. Yubero;J. Crespo;Rubén Soler
影响因子:
64.8
作者:
Huang, Ru-Jin;Zhang, Yanlin;Prevot, Andre S. H.
通讯作者:
Prevot, Andre S. H.
DOI:
10.1039/9781847552310-00065
发表时间:
1994
期刊:
--
影响因子:
--
作者:
R. Atkinson
通讯作者:
R. Atkinson