School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, China.
Shanghai Environmental Monitor Center, 55 Sanjiang Road, Xuhui District, Shanghai, China.
Environ Sci Pollut Res Int. 2017 Aug;24(22):18619-18629. doi: 10.1007/s11356-017-9433-3. Epub 2017 Jun 24.
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.
为了更好地理解挥发性有机化合物(VOCs)在非霾和霾天的特征及二次有机气溶胶(SOA)的形成,本研究采用车载在线热脱附系统与气相色谱-质谱联用(TD-GC/MS)系统连续测量了上海环境VOCs。在霾事件中,VOCs 的平均浓度(193.2μg/m)几乎比非霾期高 50%(130.8μg/m)。在非霾和霾日的早晚高峰时段,VOCs 浓度呈双峰模式。甲苯与苯(T/B)和间/对二甲苯与乙苯(X/E)的比值表明,VOCs 是来自附近地区的老化空气团。估算的 SOA 产率分别为非霾和霾天的 12.6±5.3μg/m 和 16.7±6.7μg/m,分别占相应 PM 浓度的 9.6%和 8.7%,这略低于实际值。基于 PM 依赖性模型的 VOCs 敏感性(VOCs-S)用于研究早高峰期间 VOCs 与 PM 浓度的变化。结果发现,在清洁日,VOCs 对 PM 的敏感性比在重颗粒物污染期间更高。VOCs 敏感性与特定 PM 与背景 PM 的比值显著相关,模拟方程为 y=0.84x(r=0.93,p<0.001)。研究结果表明,减少汽油车相关源的 VOC 排放并进一步缓解上海霾事件的策略将非常有效。