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Comment

Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534

1
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
2
Royal Netherlands Meteorological Institute (KNMI), R & D Satellite Observations, 3730 AE De Bilt, The Netherlands
3
Aerospace Information Research Institute, Chinese Academy of Sciences (AirCAS), Beijing 100045, China
4
Department of Geography, School of Global Studies, University of Sussex, Brighton BN1 9RH, UK
5
Department of Entomology, Plant Pathology, and Weed Science, New Mexico State University, Las Cruces, NM 88003, USA
6
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
7
Center of Excellence for Climate Change Research/Department of Meteorology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(6), 5075; https://doi.org/10.3390/ijerph20065075
Submission received: 16 November 2022 / Accepted: 22 February 2023 / Published: 14 March 2023
(This article belongs to the Special Issue Impact of Particulate Matter on the Environment and Health)
This comment discusses the use of PM2.5 (mass concentration of fine particulate matter with an aerodynamic diameter less than 2.5 microns) data in the recently published article entitled “Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study” by Abdul Jabbar et al. [1]. The authors have used two types of PM2.5 data, i.e., PM2.5 concentrations and PM2.5 exposure data. The source of PM2.5 concentration is not explicitly mentioned; however, the article published by Upadhyay et al. [2] is cited in Figure 4. Upadhyay et al. mentioned that PM2.5 concentrations were obtained from the ground-based air quality monitoring stations installed at the US embassies in major cities in South Asian countries. These concentrations are limited to specific cities and do not represent country-level air pollution scenarios. The purpose of this comment is not to discuss the PM2.5 concentrations provided by the US embassies, but instead to comment on the use of the PM2.5 exposure data, which are used in Abdul Jabbar et al.’s paper. These exposure data are obtained from the World Bank database (https://databank.worldbank.org/source/world-development-indicators (accessed on 17 October 2022)). PM2.5 exposure (EXP) is related to PM2.5 concentrations through Exp = SUM{(Pi/P) × Ci}, where Ci = annual mean PM10 or PM2.5 concentration in sub-population Pi, P = SUM (Pi), which is the total population in cities with data [3].
It is well established that both PM2.5 concentrations [4] and PM2.5 exposure [5] significantly increased in Pakistan during the last few decades. However, the PM2.5 exposure data reported by Abdul Jabbar et al. [1] do not show substantial variation between 1990 and 2017, and they state that the mean exposure to PM2.5 in Pakistan over the period was “steady”. We illustrate the discrepancy in Figure 1, which plots the time series of PM2.5 exposure data (2010–2017) obtained from the World Bank database (which are used by Abdul Jabbar et al. [1]) and PM2.5 concentrations obtained from both the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis data (2010–2017) and the World Health Organization (WHO) website (https://www.who.int/data/gho/data/themes/air-pollution/who-air-quality-database, accessed on 17 October 2022) (2010–2016).
Pakistan is the second-most polluted country among South Asian countries, as reported by the authors [1]. Therefore, reliable and accurate information is required for policymakers and research scientists to mitigate air pollution problems in Pakistan. Thus, further investigation is required to resolve discrepancies between PM2.5 exposure and concentration data from different sources before they can be used in any scientific research or policy application.

Author Contributions

Conceptualization, M.B.; methodology, M.B.; software, M.B.; validation, M.B. and G.d.L.; formal analysis, M.B.; investigation, M.B.; resources, M.B.; data curation, M.B., A.M. and M.A.A.; writing—original draft preparation, M.B.; writing—review and editing, M.B., G.d.L., J.E.N., M.P.B., L.Y. and H.C.; visualization, M.B.; supervision, M.B.; project administration, M.B.; funding acquisition, M.B. and H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant number U22A20620).

Data Availability Statement

The data used in this research are available on the World Bank website (https://databank.worldbank.org/source/world-development-indicators (accessed on 17 October 2022)) and the World Health Organization (WHO: https://www.who.int/data/gho/data/themes/air-pollution/who-air-quality-database (accessed on 17 October 2022)).

Acknowledgments

The authors would like to acknowledge the Copernicus Atmosphere Monitoring Service (CAMS), the World Health Organization, and the World Bank for air quality data (PM2.5).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Abdul Jabbar, S.; Tul Qadar, L.; Ghafoor, S.; Rasheed, L.; Sarfraz, Z.; Sarfraz, A.; Sarfraz, M.; Felix, M.; Cherrez-Ojeda, I. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534. [Google Scholar] [CrossRef] [PubMed]
  2. Upadhyay, A.; Mahapatra, P.S.; Singh, P.K.; Dahal, S.; Pokhrel, S.; Bhujel, A.; Joshi, I.B.; Paudel, S.P.; Puppal, S.P.; Adhikary, B. Learnings from COVID-19 Forced Lockdown on Regional Air Quality and Mitigation Potential for South Asia. Aerosol Air Qual. Res. 2022, 22, 210376. [Google Scholar] [CrossRef]
  3. Environment and Health Information System (ENHIS): Population Weighted Annual Mean PM2.5 in Cities. Available online: https://gateway.euro.who.int/en/indicators/enhis_26-population-weighted-annual-mean-pm25-in-cities/ (accessed on 5 November 2022).
  4. Bilal, M.; Mhawish, A.; Nichol, J.E.; Qiu, Z.; Nazeer, M.; Ali, M.A.; de Leeuw, G.; Levy, R.C.; Wang, Y.; Chen, Y.; et al. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases. Remote Sens. Environ. 2021, 264, 112617. [Google Scholar] [CrossRef]
  5. Brauer, M.; Freedman, G.; Frostad, J.; van Donkelaar, A.; Martin, R.V.; Dentener, F.; van Dingenen, R.; Estep, K.; Amini, H.; Apte, J.S.; et al. Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013. Environ. Sci. Technol. 2016, 50, 79–88. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Time series of PM2.5 concentrations obtained from (a) the WHO database (2010–2016) and (b) CAMS reanalysis data (2010–2017). (c) PM2.5 exposure was obtained from the World Bank database (2010–2017). PM2.5 concentrations from the WHO website were not available for 2017.
Figure 1. Time series of PM2.5 concentrations obtained from (a) the WHO database (2010–2016) and (b) CAMS reanalysis data (2010–2017). (c) PM2.5 exposure was obtained from the World Bank database (2010–2017). PM2.5 concentrations from the WHO website were not available for 2017.
Ijerph 20 05075 g001
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MDPI and ACS Style

Bilal, M.; de Leeuw, G.; Nichol, J.E.; Bleiweiss, M.P.; Yang, L.; Chai, H.; Mhawish, A.; Ali, M.A. Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534. Int. J. Environ. Res. Public Health 2023, 20, 5075. https://doi.org/10.3390/ijerph20065075

AMA Style

Bilal M, de Leeuw G, Nichol JE, Bleiweiss MP, Yang L, Chai H, Mhawish A, Ali MA. Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534. International Journal of Environmental Research and Public Health. 2023; 20(6):5075. https://doi.org/10.3390/ijerph20065075

Chicago/Turabian Style

Bilal, Muhammad, Gerrit de Leeuw, Janet E. Nichol, Max P. Bleiweiss, Leiku Yang, Huabin Chai, Alaa Mhawish, and Md. Arfan Ali. 2023. "Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534" International Journal of Environmental Research and Public Health 20, no. 6: 5075. https://doi.org/10.3390/ijerph20065075

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