Research on Effects of Temperature Inversions to Concentration of Particulate Metter (PM2.5) in the Atmosphere in Hanoi

Trinh Thi Tham, Nguyen The Duc Hanh, Nguyen Thi Anh Thu, Trinh Thi Thuy

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Published Sep 24, 2018
DOI: https://doi.org/10.25073/2588-1094/vnuees.4289

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THAM, Trinh Thi et al. Research on Effects of Temperature Inversions to Concentration of Particulate Metter (PM2.5) in the Atmosphere in Hanoi. VNU Journal of Science: Earth and Environmental Sciences, [S.l.], v. 34, n. 3, sep. 2018. ISSN 2588-1094. Available at: <https://js.vnu.edu.vn/EES/article/view/4289>. Date accessed: 22 dec. 2024. doi: https://doi.org/10.25073/2588-1094/vnuees.4289.
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Issue
Vol 34 No 3
Section
Review Articles

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Abstract

Abstract: In this study, we assessed effects of temperature inversions on air quality in Hanoi, is the capital of Vietnam with the business development speed also as urbanization high in year near here. Temperature inversions occur frequently in the cooler seasons, exacerbating the impact of emissions and diffusions from industry and traffic. This research used concentration of PM2.5 data gathered from 02 automatic air quality monitoring station located North Centre for Environmental Monitoring, Vietnam environment administration and U.S Embassy Hanoi. The data on the change of temperature in the depth was collected from the meteorological stations Hanoi in 2017 aimed to analyze the frequency of the temperature rating of the Heat Rate of the Heat Temperature and the Heat of the temperature inversions and impacts of that on concentration of PM2.5 in the atmosphere. The Statistical Package for the Social Sciences (SPSS) with Indipendent-Sample T - Test was used to evaluate the difference in concentration of PM2.5 between the inversion days and the non-inversion days. The results also revealed that there was statistical difference (Sig. <0,05) between PM2.5 levels in the ambient air on the inversion days and those on the normal day.


Keywords: Temperature inversions, Concentration of PM2.5, Ambient air.


References


Tài liệu tham khảo


  • [1] Bộ Tài Nguyên và Môi trường, “Báo cáo hiện trạng môi trường Quốc gia năm 2016. Chương 2: Môi trường không khí”, 2, pp. 25–45, 2017.

  • [2] Ji et al., “Analysis of heavy pollution episodes in selected cities of northern China,” Atmospheric Environment, vol. 50, pp. 338–348, 2012.

  • [3] Gramsch, D. Caceres, and Y. Vasquez, “Influence of surface and subsidence thermal inversion on PM2.5 and black carbon concentration,”, Atmospheric Environment, vol. 98, pp. 290 – 298, 2014.

  • [4] Krzyzanowski, Health Impact Assessment of Air Pollution and Communication Strategy, WHO Europe. WHO, 2005.

  • [5] John D. Beard, Celeste Beck, Randall Graham, Steven C. Packham, Monica Traphagan, Rebecca T. Giles, and John G.Morgan (2012), “Winter Temperature Inversions and Emergency Department Visits for Asthma in Salt Lake County, Utah 2003-2008”, Environment Health Perspect, 120(10): 1385–1390.

  • [6] Wallace and P. Kanaroglou, “The effect of temperature inversions on ground-level nitrogen dioxide (NO2) and fine particulate matter (PM2.5) using temperature profiles from the Atmospheric Infrared Sounder (AIRS),” Science of the Total Environment, The, vol. 407, no. 18, pp. 5085–5095, 2009.

  • [7] http://weather.uwyo.edu/upperair/ sounding.html.

  • Mai Văn Nam (2006), Giáo trình Nguyên lý thống kê kinh tế, NXB Văn hóa Thông tin.

Keywords: Temperature inversions, Concentration of PM2.5, Ambient air

References

[1] Trần Ngọc Chấn, “Ô nhiễm không khí và xử lý khí thải.” NXB Khoa học và Kỹ thuật, 2002.
[2] D. Ji et al., “Analysis of heavy pollution episodes in selected cities of northern China,” Atmospheric Environment, vol. 50, pp. 338–348, 2012.
[3] X. Feng, Q. Li, Y. Zhu, J. Wang, H. Liang, and R. Xu, “Formation and dominant factors of haze pollution over Beijing and its peripheral areas in winter,” Atmospheric Pollution Research, vol. 5, no. 3, pp. 528–538, 2014.
[4] E. Gramsch, D. Caceres, and Y. Vasquez, “Influence of surface and subsidence thermal inversion on PM2.5 and black carbon concentration,” no. March 2015, 2014.
[5] Phạm Duy Hiển, “Ô nhiễm bụi hô hấp có phân biệt kích thước hạt trong môi trường khí đô thị và môi trường sản xuất,” Đề tài nghiên cứu cấp nhà nước năm 1998-1999, Viện Năng lượng nguyên tử Việt Nam, 1999.
[6] Bộ Tài Nguyên Môi trường, “Báo cáo hiện trạng môi trường Quốc gia năm 2016. Chương 2: Môi trường không khí,” vol. 2, pp. 25–45, 2017.
[7] M. Krzyzanowski, Health Impact Assessment of Air Pollution and Communication Strategy, WHO Europe. WHO, 2005.
[8] P. November, “Asthma and Air Pollution: Associations Between Asthma Emergency Department Visits, PM2.5 Levels, and Temperature Inversions in Utah” 2010.
[9] J. Wallace and P. Kanaroglou, “The effect of temperature inversions on ground-level nitrogen dioxide (NO2) and fine particulate matter (PM2.5) using temperature profiles from the Atmospheric Infrared Sounder (AIRS),” Science of the Total Environment, The, vol. 407, no. 18, pp. 5085–5095, 2009.
[10] http://weather.uwyo.edu/upperair/ sounding.html.