A study on high ozone formation mechanism associated with change of NO /VOCs ratio at a rural area in the Korean Peninsula

Jeon, Wonbae; Lee, Soon-Hwan; Lee, Hwawoon; Park, Changhyoun; Kim, Dong-Hyuk; Park, Soon-Young

doi:10.1016/j.atmosenv.2014.02.005

Cited by 44 publications

(25 citation statements)

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“…The ozone formation in such cases, is more sensitive to the presence of NO x as VOCs are already present in large amounts due to the abundance of Biogenic Volatile Organic Compounds (BVOCs) emitted by vegetation, and this trend was noted in a study in Korea [52]. High levels of ozone were observed in Chuncheon, in comparison to Seoul, which was located upwind, though the emissions were less in Chuncheon than Seoul.…”

Section: Ozonementioning

confidence: 91%

Air Quality Impacts of Petroleum Refining and Petrochemical Industries

Ragothaman

Anderson

2017

Environments

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Though refineries and petrochemical industries meet society's energy demands and produce a range of useful chemicals, they can also affect air quality. The World Health Organization (WHO) has identified polluted air as the single largest environmental risk, and hence it is necessary to strive for and maintain good air quality. To manage potential health impacts, it is important to implement proper air quality management by understanding the link between specific pollutant sources and resulting population exposures. These industries release pollutants such as Volatile Organic Compounds, greenhouse gases and particulate matter, from various parts of their operations. Air quality should be monitored and controlled more meticulously in developing nations where increased energy demands, industrialization and overpopulation has led to more emissions and lower air quality. This paper presents a review of findings and highlights from various studies on air quality impacts of petroleum refining and petrochemical plants in many regions in the world.

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Section: Ozonementioning

confidence: 91%

Air Quality Impacts of Petroleum Refining and Petrochemical Industries

Ragothaman

Anderson

2017

Environments

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“…In particular, regional complex atmospheric pollution characterized by high levels of O 3 and PM 2.5 has become a major challenge in China [14,15]. O 3 is regarded as a secondary pollutant, primarily produced through a series of complex chemical reactions between Volatile Organic Compounds (VOCs) and nitrogen oxides (NO X ) under solar radiation in the wavelength range of 200 to 300 nm [16,17]. The formation of O 3 is a very complicated process which is affected by many factors, including precursor emissions (e.g., NO X, CO, and VOCs), local climate conditions (e.g., temperature, relative humidity, solar radiation, and wind direction and speed), and atmospheric chemical processes [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China

Zhao

Zheng

2018

Sustainability

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This study analyzed the spatiotemporal variations in PM 2.5 and O 3 , and explored their interaction in the summer and winter seasons in Beijing. To this aim, hourly PM 2.5 and O 3 data for 35 air quality monitoring sites were analyzed during the summer and winter of 2016. Results suggested that the highest PM 2.5 concentration and the lowest O 3 concentration were observed at traffic monitoring sites during the two seasons. A statistically significant (p < 0.05) different diurnal variation of PM 2.5 was observed between the summer and winter seasons, with higher concentrations during daytime summer and nighttime winter. Diurnal variations of O 3 concentrations during the two seasons showed a single peak, occurring at 16:00 and 15:00 in summer and winter, respectively. PM 2.5 presented a spatial pattern with higher concentrations in southern Beijing than in northern areas, particularly evident during wintertime. On the contrary, O 3 concentrations presented a decreasing spatial trend from the north to the south, particularly evident during summer. In addition, we found that PM 2.5 concentrations were positively correlated (p < 0.01, r = 0.57) with O 3 concentrations in summer, but negatively correlated (p < 0.01, r = −0.72) with O 3 concentrations in winter.

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“…This type of combined applications has been well established to account for critical factors affecting air quality change, especially with respect to the transport routes of air masses from source regions (Fleming et al, 2012;Jeong et al, 2013;Vellingiri et al, 2015a). For example, during high O 3 episodes in rural areas of China (Beijing and Shanghai), the migration of pollutants, especially NO x and VOCs, was observed to occur prominently from urban downwind areas (He et al, 2012;Jeon et al, 2014;Xu et al, 2008). Thus, in order to evaluate the relative contributions of local and distant (upwind) sources on a study site, it is necessary to study air mass transport patterns and variations in estimated target pollutant concentrations.…”

Section: Introductionmentioning

confidence: 98%