Particulate pollution status and its characteristics during 2015–2016 in Hunan, China

IntroductionWith improved living conditions, people gradually pay more and more attention to the problems which were caused by air pollution [1]. The concentrations of particulates and gassy pollutants in the atmosphere were all seriously exceeded. Such as PM 2.5 , PM 10, sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), carbon monoxide (CO), and ozone (O 3 ) [2]. They would not only lead to a serious decline in atmospheric visibility, but also they would cause many problems to people's travel and transport at the same time [3]. PM 2.5 was usually referred to as particulate with an average aerodynamic diameter of less than 2.5 μm, and they did not settle automatically [4]. PM 2.5 was more likely to carry more viruses or bacteria with its small particle sizes and large specific surface area. It would bring different degrees of harm to human health, even death [5][6][7].

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confidence: 72%

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confidence: 99%

Variation of Particulate Matter and Its Correlation with Other Air Pollutants in Xi`an, China

Zhang¹,

Fan²,

Yu³

et al. 2021

“…At present, the research on China was limited to some areas, such as Changchun [33], Xi'an [34], Beijing [35] and so on. In addition, there were great distinctions in different regions of China due to the influence of geography and economic factors [36]. The adjustment of heating energy structure also changed the concentration distribution of pollutants, resulting in more complex distribution and source of PM 2.5 [31].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution of PM<sub>2.5</sub> and Its Correlation with Other Air Pollutants in Winter During 2016~2018 in Xi’an, China

Zhang¹,

Fan²,

Wei³

et al. 2021

High concentration of PM 2.5 has seriously affected people's daily lives in recent years. It is necessary to analyze PM 2.5 and the correlations with other pollutants in winter. Data presented in this paper were obtained from monitoring stations from 2016 to 2018. Attention was fixed on PM 2.5 and its monthly and daily variations in winter. Furthermore, the correlations between PM 2.5 and CO, SO 2 , NO 2 , O 3 and PM 10 were studied. The results showed concentrating PM 2.5 was roughly consistent with the monthly and daily trends. It was January>December>February>November>March. The mass concentration ranges of PM 2.5 before and after the adjustment of heating energy structures were 64.5-184.1 μg/m 3 , and 86.4-140.1 μg/m 3 , respectively. The average concentrations of PM 2.5 were 135.5 μg/m 3 , and 109.1 μg/m 3 , decreased by 26.4 μg/m 3. PM 2.5 /PM 10 was changed from 64.6% to 62.6%, reduced by 2%. The linear correlation analysis revealed a strong correlation between PM 2.5 and CO, SO 2 , NO 2 , and PM 10 , but a negative correlation between PM 2.5 and O 3. Two multiple linear regression models on the pollutants were established, respectively. This study helps understand the concentrating distribution of PM 2.5 and other pollutants in winter. It will provide some useful references to control air pollution for some cities, which have a similar type of heating energy structure.

“…Many researchers from different countries had conducted many studies on monitoring atmospheric particulates concentration now [13][14][15][16][17]. Like distribution of particulate matters [13,14], the correlation with other pollutants [15,16], the comparison of the distribution before and after in heating time in winter [17], and vertical distribution of near-surface particulates [18]. Some of the results had achieved, and it based on monitoring urban ground areas.…”

Section: Introductionmentioning

confidence: 99%

Vertical Distribution Characteristics of Outdoor Particles Concentrations in High-Rise Buildings

Zhang¹,

Fan²,

Yu³

et al. 2021

With speeding up urbanization in China, it is important to understand the vertical distribution characteristics of outdoor particulate matter concentrations of high-rise buildings. A high-rise building at different heights (1 st , 7 th , 11 th , 17 th , 23 th , and 27 th floors) in a university in Xi'an was tested and analyzed in this paper. Test time was 8:00, 12:00, 15:00, 15:00 and 22:00, respectively. The results showed that the concentration of each particulate matter changed the same trend roughly with the increase of vertical height at 8:00 and 22:00, as well as at 15:00 and 18:00. While the mass concentration of each particle showed a trend of first increased, then decreased and next then increased with the height increased when the time was 12:00. It caused by the inverse temperature. The particles between 0 and 1.0 μm accounted for more than 99.4% during the testing. There were mainly small particles in the atmosphere. PM 1.0 /PM 10 and PM 2.5 /PM 10 all showed a trend of first decreased and then increased at different vertical height. The highest points of PM 2.5 /PM 10 and PM 1.0 /PM 10 increased by 9.63% and 8.2% respectively from the lowest points, and the ratio was the highest at 15:00. At the same time, outdoor meteorological conditions would also affect the concentration distribution of particulate matters. This paper provides a reference for the development of high-rise buildings and the effective control of particulate matter concentration in high-rise buildings.