VOC amounts in ambient areas of a high-technology science park in Taiwan: their reciprocal correlations and impact on inhabitants

Liu, Hsin-Wang; Wu, Bei-Zen; Nian, Hung-Chi; Chen, Hsing‐Jung; Lo, Jiunn-Guang; Chiu, Kong‐Hwa

doi:10.1007/s11356-011-0558-5

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Recent studies regarding aromatic hydrocarbons and halocarbons have focused on average mixing ratio analysis (Barletta et al, 2005;Liu et al, 2012) receptor modeling, emission sources (Yurdakul et al, 2013;Sindelarova et al, 2014) and reactivity or the ozone formation potential (Suthawaree et al, 2012) in urban areas, especially in developed regions, such as Beijing, Shanghai and the Pearl River Delta Region. Few studies regarding the concentration characteristics and distributions have been conducted in remote and high-altitude locations, such as high mountain sites.…”

Section: Introductionmentioning

confidence: 99%

Aromatic Hydrocarbons and Halocarbons at a Mountaintop in Southern China

Yang

Wang

Chen

et al. 2016

Aerosol Air Qual. Res.

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In this study, 45 ambient samples were collected in the summer of 2011 and spring of 2012 on Mount Lushan. The concentrations and seasonal distributions of aromatic hydrocarbons and halocarbons were measured and discussed. Moderate concentrations of individual species were found compared with other mountain sites; however, the measured concentrations were much lower than the values reported in cities. For aromatic hydrocarbons, benzene and m/p-xylene were the most abundant species in the spring, while benzene and toluene exhibited the largest contributions in the summer. For halocarbons, the concentrations of 1,2,4-trichlorobenzene, dichlorodifluoromethane and chloromethane were higher than other gases measured in the spring; and dichlorodifluoromethane and chloromethane contributed largest in the summer. The OH loss rates demonstrated that 1,3,5-trimethylbenzene and 1,2,4-trimethylbenzene were the dominant aromatic hydrocarbons for OH loss rates in the spring, while styrene and toluene contributed the largest to reactivity in the summer. For the ozone formation potential (OFP), 1,2,4-trimethylbenzene and m/p-xylene accounted for the largest fraction of the OFPs in the spring (24.3% and 23.7%), while toluene was the most abundant source of OFP (i.e., 43.7%) in the summer. M/p-xylene exhibited large contributions to OFP in both spring and summer (23.7% and 19.2%) of the OFPs. The T/B (0.80 and 0.73 in spring and summer respectively) ratios indicated that the sampled air masses were primarily influenced by automotive emissions. The 36-h backward trajectories of the sampled air masses and the corresponding daily concentrations of individual species suggested that long-range transport had a large effect on the atmosphere at the sampling site.

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Section: Introductionmentioning

confidence: 99%

Aromatic Hydrocarbons and Halocarbons at a Mountaintop in Southern China

Yang

Wang

Chen

et al. 2016

Aerosol Air Qual. Res.

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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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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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