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
Wang Heling
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Han Deming;Wang Zhen;Cheng Jinping;Wang Qian;Chen Xiaojia;Wang Heling

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为了更好地了解非雾霾天和雾霾天挥发性有机化合物(VOCs)的特征和二次有机气溶胶(SOA)的形成,利用车载在线热脱附-气相色谱-质谱(TD-GC/MS)联用系统对上海市大气VOCs进行了连续监测。雾霾期间VOCs的平均浓度(193.2 μg m−3)比非雾霾期间(130.8 μg m−3)高出近50%。在无烟霞和有烟霞的日子,挥发性有机化合物的浓度在早晚高峰时段均呈现双峰模式。甲苯与苯的比值(T/B)和间、对二甲苯与二甲苯的比值(X/E)表明,VOCs是从附近地区输送过来的老化空气质量。在无霾和有霾天气中,SOA的估算值分别为12.6 ± 5.3和16.7 ± 6.7 μg m− 3,分别占相应PM2.5浓度的9.6%和8.7%,这一数值被略微低估。采用基于PM2. 5依赖模型的VOCs敏感性(VOCs-S)方法,研究了早高峰时段VOCs与PM2. 5浓度之间的变化规律。结果表明,相对于重颗粒物污染时期,PM2.5对VOCs的敏感性更高。VOCs敏感性与特定PM2.5/背景PM2.5比值呈显著相关,拟合方程为y = 0.84x-0.62(r2= 0.93,p < 0.001)。我们的研究结果表明,减少挥发性有机化合物排放和进一步缓解上海雾霾事件的基础上,减少汽油车相关的来源将是非常有效的。
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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