Research Article | | Peer-Reviewed

Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023

Received: 10 January 2024    Accepted: 22 January 2024    Published: 5 February 2024
Views:       Downloads:
Abstract

Dhaka, as the epicenter of economic, political, and cultural activity, has been actively pursuing urbanization, modernization, and development in line with global trends. The rise in unplanned urbanization, industrialization, and other human activities have led to an escalation in air pollution levels. The quality of air in Dhaka is progressively declining over time. It has become a significant challenge due to its detrimental effects on both human health and the environment. The objectives of the study to analyze the air quality in Dhaka city over eight years, from 2016 to 2023 and to assess the relation between concentration of PM2•5 and meteorological characteristics in Dhaka city. AQI and PM2•5 data has been collected from the website of U.S. Embassy Dhaka and meteorological data from the Bangladesh Meteorological Department (BMD). Data processing and analysis have been conducted by using SPSS and Microsoft Excel. Annual variations indicated that 2023 experienced the highest air pollution levels with an average PM2•5 concentration of 103.67 µg/m³ which is 2.96 times higher than the national ambient air quality standards level. Furthermore, shifting variation analysis demonstrated that air quality deteriorated in the night to morning, reaching an unhealthy level, largely attributed to heavy traffic. Along with that seasonal variations illustrate that winter had the highest PM2•5 levels where monsoon had lower, linked to factors like biomass burning and reduced rainfall. This variance is due to the interaction of a number of different meteorological phenomena. Moreover, Weekly variations showed Thursday to have the highest air pollution. The percentage of “Good” days is very poor and with that "Unhealthy" and "Very Unhealthy" AQI categories significantly increased, posing a serious threat to public health. To address this, a range of short, mid, and long-term strategies are recommended, including improved public awareness, sustainable constructions and transportation options, and stricter environmental regulations.

Published in Science Frontiers (Volume 5, Issue 1)
DOI 10.11648/sf.20240501.15
Page(s) 35-42
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Air Quality Index (AQI), Public Health, Meteorological Influence, PM2•5 Concentration, Time Series Analysis

References
[1] Anwar, M. N., Shabbir, M., Tahir, E., Iftikhar M., Saif H., Tahir A., Malik A. M., Khokhar, M., Rehan, F., M., Aghbashlo, M., Tabatabaei, M., Nizami, A. S. Emerging challenges of air pollution and particulate matter in China, India, and Pakistan and mitigating solutions. Journal of Hazardous Materials. 2021, Volume 416. https://doi.org/10.1016/j.jhazmat.2021.125851.
[2] World Population Review, 2023. https://worldpopulationreview.com/countries/bangladesh-population.
[3] IQAir, 2023, Air Quality in Dhaka: Air Quality Index (AQI) and PM2•5 Pollution in Dhaka. https://www.iqair.com/bangladesh/dhaka. Accessed on March, 2023.
[4] Sweileh, W. M., Al-Jabi, S. W., Zyoud, S. H., & Sawalha, A. F. Outdoor air pollution and respiratory health: a bibliometric analysis of publications in peer-reviewed journals (1900 – 2017). Multidisciplinary Respiratory Medicine. 2018, 13(1). https://doi.org/10.1186/s40248-018-0128-5.
[5] Xie, W., You, J., Zhi, C., Li L. The toxicity of ambient fine particulate matter (PM2•5) to vascular endothelial cells. J Appl Toxicol. 2021, 41(5): 713-723. DOI: 10.1002/jat.4138.
[6] Nahian, M. A., Ahmad, T., Jahanb, I., Chakraborty, N., Nahar, Q., Streatfield, P. K. Air pollution and pregnancy outcomes in Dhaka, Bangladesh. The Journal of Climate Change and Health. 2023, V 9: 2667-2782. https://doi.org/10.1016/j.joclim.2022.100187.
[7] Im, U., Geels, C., Hanninen, R., Kukkonen, J., Rao, S., Ruuhela, R., Sofiev, M., Schaller, N., Hodnebrog, Ø, Sillmann, J., Schwingshackl, C., Christensen, J. H., Bojariu, R., Aunan K. Reviewing the links and feedbacks between climate change and air pollution in Europe. Front. Environ. Sci. 2022, 10: 954045. doi: 10.3389/fenvs.2022.954045.
[8] Nayeem, A. A., Hossain, M. S., Majumder, A. K., Carter, W. S. Spatiotemporal Variation of Brick Kilns and its Relation to Ground-level PM2•5 through MODIS Image at Dhaka District, Bangladesh. Int. J. of Environmental Pollution & Environmental Modelling. 2019, Vol. 2(5): 277-284.
[9] Rana, M., Khan, M., Azad, M. a. K., Rahman, S., & Kabir, S. Estimation of Idle Emissions from the On-Road Vehicles in Dhaka. Journal of Scientific Research. 2020, 12(1), 15–27. https://doi.org/10.3329/jsr.v12i1.41501
[10] Begum, B. A., & Hopke, P. K. Ambient Air Quality in Dhaka Bangladesh over Two Decades: Impacts of Policy on Air Quality. Aerosol and Air Quality Research. 2018, 18(7), 1910–1920. https://doi.org/10.4209/aaqr.2017.11.0465.
[11] Begum, B. A., Nasiruddin, M., Randal, S., Sivertsen, B., Hopke, P. K. Identification and Apportionment of Sources from Air Particulate Matter at Urban Environments in Bangladesh. British Journal of Applied Science & Technology, 2014, 4(27): 3930-3955.
[12] Hoque, M. M. M., Ashrafi, Z., Kabir, M. H., Sarker, M. E., Nasrin, S. Meteorological Influences on Seasonal Variations of Air Pollutants (SO2, NO2, O3, CO, PM2•5 and PM10) in the Dhaka Megacity. American Journal of Pure and Applied Biosciences. 2020, 2(2): 15-23, DOI: 10.34104/ajpab.020.15023.
[13] Razib, Nayeem, A. A., Hossain, M. S., Majumder, A. K. PM2•5 concentration and meteorological characteristics in Dhaka, Bangladesh. Bangladesh Journal of Scientific and Industrial Research. 2020, 55(2): 89-98. DOI: 10.3329/bjsir.v55i2.47629.
[14] Islam, M. M., Sharmin, M., & Ahmed, F. Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach. Air Quality, Atmosphere & Health. 2020, 13(5), 607–615. https://doi.org/10.1007/s11869-020-00823-9.
[15] Faisal, A. A., Kafy, A., Fattah, M. A., Jahir, D. M. A., Rakib, A. A., Rahaman, Z. A., Ferdousi, J., Huang, X. Assessment of temporal shifting of PM2•5, lockdown effect, and influences of seasonal meteorological factors over the fastest-growing megacity, Dhaka. Spat. Inf. Res. 2022, 30, 441–453. https://doi.org/10.1007/s41324-022-00441-w.
[16] US Environmental Protection Agency, 2023. https://www.epa.gov/air-research/research-health-effects-air-pollution.
[17] Kumar, S. D. and Dash, A. Seasonal Variation of Air Quality Index and Assessment. Global J. Environ. Sci. Manage. 2018, 4(4): 483-492.
[18] Kim, K. H., Kabir, E., Jahan, S. A. Airborne bioaerosols and their impact on human health. Journal of Environmental sciences. 2018, 1; 67: 23-35.
[19] Majumder, A. K., Patoary, M. N. A., Nayeem, A. A., Rahman, M. Air quality index (AQI) changes and spatial variation in Bangladesh from 2014 to 2019. Journal of Air Pollution and Health. 2023, 8. 10.18502/japh. v8i2.12919.
[20] Majumder, A. K., Rahman, M., Patoary, M. N. A. A bibliometrics of air pollution studies in Bangladesh from 1995-2020. World Journal of Advanced Engineering Technology and Sciences. 2023, 09(01), 228–239, DOI: 10.30574/wjaets.2023.9.1.0110.
[21] Masum, M. H., & Pal, S. K. Statistical evaluation of selected air quality parameters influenced by COVID-19 lockdown. Global Journal of Environmental Science and Management. 2020, 6, 85–94. https://doi.org/10.22034/gjesm.2019.06.si.08.
[22] Mohan, M., & Kandya, A. An analysis of the annual and seasonal trends of Air Quality Index of Delhi. Environmental Monitoring and Assessment. 2007, 131(1–3), 267–277. https://doi.org/10.1007/s10661-006-9474-4.
[23] Kayes, I., Shahriar, S. A., Hasan, K., Akhter, M., Kabir, M. M., Salam, M. A. The relationships between meteorological parameters and air pollutants in an urban environment. Global Journal of Environmental Science and Management. 2019, 5(3): 265-278. DOI: 10.22034/gjesm.2019.03.01.
[24] Taghizadeh, F., Jafari, A. J., and Kermani, M. The trend of air quality index (AQI) in Tehran during (2011-2016). Journal of Air pollution and Health. 2019, 4(3): 187-92.
[25] Nayeem, A. A. Hossain, M. S. Majumder A. K. Characterization of Inhalable Ground-Level Ambient Particulate Matter in Dhaka City, Bangladesh. J. Sci. Res. 2020, 12 (4), 701-712. DOI: 10.3329/jsr.v12i4.45802.
[26] EPA, (2006). Guidelines for reporting of daily air quality - Air Quality Index (AQI). North Carolina U.S.
Cite This Article
  • APA Style

    Majumder, A. K., Rahman, M., Patoary, M. N. A., Kamruzzaman, A. M., Majumder, R. (2024). Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023. Science Frontiers, 5(1), 35-42. https://doi.org/10.11648/sf.20240501.15

    Copy | Download

    ACS Style

    Majumder, A. K.; Rahman, M.; Patoary, M. N. A.; Kamruzzaman, A. M.; Majumder, R. Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023. Sci. Front. 2024, 5(1), 35-42. doi: 10.11648/sf.20240501.15

    Copy | Download

    AMA Style

    Majumder AK, Rahman M, Patoary MNA, Kamruzzaman AM, Majumder R. Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023. Sci Front. 2024;5(1):35-42. doi: 10.11648/sf.20240501.15

    Copy | Download

  • @article{10.11648/sf.20240501.15,
      author = {Ahmad Kamruzzaman Majumder and Marziat Rahman and Md. Nasir Ahmmed Patoary and Abu Muhmmad Kamruzzaman and Rasheduzzaman Majumder},
      title = {Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023},
      journal = {Science Frontiers},
      volume = {5},
      number = {1},
      pages = {35-42},
      doi = {10.11648/sf.20240501.15},
      url = {https://doi.org/10.11648/sf.20240501.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.sf.20240501.15},
      abstract = {Dhaka, as the epicenter of economic, political, and cultural activity, has been actively pursuing urbanization, modernization, and development in line with global trends. The rise in unplanned urbanization, industrialization, and other human activities have led to an escalation in air pollution levels. The quality of air in Dhaka is progressively declining over time. It has become a significant challenge due to its detrimental effects on both human health and the environment. The objectives of the study to analyze the air quality in Dhaka city over eight years, from 2016 to 2023 and to assess the relation between concentration of PM2•5 and meteorological characteristics in Dhaka city. AQI and PM2•5 data has been collected from the website of U.S. Embassy Dhaka and meteorological data from the Bangladesh Meteorological Department (BMD). Data processing and analysis have been conducted by using SPSS and Microsoft Excel. Annual variations indicated that 2023 experienced the highest air pollution levels with an average PM2•5 concentration of 103.67 µg/m³ which is 2.96 times higher than the national ambient air quality standards level. Furthermore, shifting variation analysis demonstrated that air quality deteriorated in the night to morning, reaching an unhealthy level, largely attributed to heavy traffic. Along with that seasonal variations illustrate that winter had the highest PM2•5 levels where monsoon had lower, linked to factors like biomass burning and reduced rainfall. This variance is due to the interaction of a number of different meteorological phenomena. Moreover, Weekly variations showed Thursday to have the highest air pollution. The percentage of “Good” days is very poor and with that "Unhealthy" and "Very Unhealthy" AQI categories significantly increased, posing a serious threat to public health. To address this, a range of short, mid, and long-term strategies are recommended, including improved public awareness, sustainable constructions and transportation options, and stricter environmental regulations.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Time Series Analysis PM2•5 Concentration for Capital City Dhaka from 2016 to 2023
    AU  - Ahmad Kamruzzaman Majumder
    AU  - Marziat Rahman
    AU  - Md. Nasir Ahmmed Patoary
    AU  - Abu Muhmmad Kamruzzaman
    AU  - Rasheduzzaman Majumder
    Y1  - 2024/02/05
    PY  - 2024
    N1  - https://doi.org/10.11648/sf.20240501.15
    DO  - 10.11648/sf.20240501.15
    T2  - Science Frontiers
    JF  - Science Frontiers
    JO  - Science Frontiers
    SP  - 35
    EP  - 42
    PB  - Science Publishing Group
    SN  - 2994-7030
    UR  - https://doi.org/10.11648/sf.20240501.15
    AB  - Dhaka, as the epicenter of economic, political, and cultural activity, has been actively pursuing urbanization, modernization, and development in line with global trends. The rise in unplanned urbanization, industrialization, and other human activities have led to an escalation in air pollution levels. The quality of air in Dhaka is progressively declining over time. It has become a significant challenge due to its detrimental effects on both human health and the environment. The objectives of the study to analyze the air quality in Dhaka city over eight years, from 2016 to 2023 and to assess the relation between concentration of PM2•5 and meteorological characteristics in Dhaka city. AQI and PM2•5 data has been collected from the website of U.S. Embassy Dhaka and meteorological data from the Bangladesh Meteorological Department (BMD). Data processing and analysis have been conducted by using SPSS and Microsoft Excel. Annual variations indicated that 2023 experienced the highest air pollution levels with an average PM2•5 concentration of 103.67 µg/m³ which is 2.96 times higher than the national ambient air quality standards level. Furthermore, shifting variation analysis demonstrated that air quality deteriorated in the night to morning, reaching an unhealthy level, largely attributed to heavy traffic. Along with that seasonal variations illustrate that winter had the highest PM2•5 levels where monsoon had lower, linked to factors like biomass burning and reduced rainfall. This variance is due to the interaction of a number of different meteorological phenomena. Moreover, Weekly variations showed Thursday to have the highest air pollution. The percentage of “Good” days is very poor and with that "Unhealthy" and "Very Unhealthy" AQI categories significantly increased, posing a serious threat to public health. To address this, a range of short, mid, and long-term strategies are recommended, including improved public awareness, sustainable constructions and transportation options, and stricter environmental regulations.
    
    VL  - 5
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Center for Atmospheric Pollution Studies (CAPS), Dhaka, Bangladesh

  • Center for Atmospheric Pollution Studies (CAPS), Dhaka, Bangladesh

  • Center for Atmospheric Pollution Studies (CAPS), Dhaka, Bangladesh

  • Center for Atmospheric Pollution Studies (CAPS), Dhaka, Bangladesh

  • Center for Atmospheric Pollution Studies (CAPS), Dhaka, Bangladesh

  • Sections