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Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity

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Abstract

Dhaka and its neighboring areas suffer from severe air pollution, especially during dry season (November–April). We investigated temporal and directional variations in particulate matter (PM) concentrations in Dhaka, Gazipur, and Narayanganj from October 2012 to March 2015 to understand different aspects of PM concentrations and possible sources of high pollution in this region. Ninety-six-hour backward trajectories for the whole dry season were also computed to investigate incursion of long-range pollution into this area. We found yearly PM10 concentrations in this area about three times and yearly PM2.5 concentrations about six times greater than the national standards of Bangladesh. Dhaka and its vicinity experienced several air pollution episodes in dry season when PM2.5 concentrations were 8–13 times greater than the World Health Organization (WHO) guideline value. Higher pollution and great contribution of PM2.5 most of the time were associated with the north-westerly wind. Winter (November to January) was found as the most polluted season in this area, when average PM10 concentrations in Dhaka, Gazipur, and Narayanganj were 257.1, 240.3, and 327.4 μg m−3, respectively. Pollution levels during wet season (May–October) were, although found legitimate as per the national standards of Bangladesh, exceeded WHO guideline value in 50 % of the days of that season. Trans-boundary source identifications using concentration-weighted trajectory method revealed that the sources in the eastern Indian region bordering Bangladesh, in the north-eastern Indian region bordering Nepal and in Nepal and its neighboring areas had high probability of contributing to the PM pollutions at Gazipur station.

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References

  • Alamgir MS, Jabbar MA, Islam MS (2009) Assessing the livelihood of slum dwellers in Dhaka city. J Bangladesh Agril Univ 7(2):373–380

    Google Scholar 

  • Allen RW, Gombojav E, Barkhasragchaa B, Byambaa T, Lkhasuren O, Amram O, Janes CR (2013) An assessment of air pollution and its attributable mortality in Ulaanbaatar, Mongolia. Air Qual Atmos Heal 6(1):137–150

    Article  CAS  Google Scholar 

  • Azkar IBN, Chatani S, Sudo K (2012) Simulation of urban and regional air pollution in Bangladesh. J Geophys Res 117:D07303

    Google Scholar 

  • Begum BA, Hopke PK, Markwitz A (2013) Air pollution by fine particulate matter in Bangladesh. Atmos Pollut Res 4(1)

  • Behera SN, Sharma M (2015) Spatial and seasonal variations of atmospheric particulate carbon fractions and identification of secondary sources at urban sites in North India. Environ Sci Pollut Res 22:13464–13476

    Article  CAS  Google Scholar 

  • Brook RD, Franklin B, Cascio W, Hong Y, Howard G, Lipsett M, Tager I (2004) Air pollution and cardiovascular disease: a statement for healthcare professionals from the expert panel on population and prevention science of the American Heart Association. Circulation 109(21):2655–2671

    Article  Google Scholar 

  • Carslaw DC (2015) The openair manual—open-source tools for analyzing air pollution data. Manual for version 1.1-4. King’s College London

  • Carslaw DC, Ropkins K (2012) openair—an R package for air quality data analysis. Environ Model Softw 27:52–61

    Article  Google Scholar 

  • CASE (2015) Monthly air quality monitoring report. Department of Environment, Dhaka, www.case-moef.gov.bd. Accessed 08 August 2015

    Google Scholar 

  • Demographia (2015) World Urban Areas 11th Annual Edition: 2015.01. www.demographia.com/db-worldua.pdf Accessed 08 August 2015

  • Draxler RR, Rolph GD (2003) HYSPLIT (HYbrid Single Particle Lagrangian Integrated Trajectory). NOAA Air Resources Laboratory, Silver Spring

    Google Scholar 

  • GoB (2005) Government of Bangladesh: revision of Bangladesh Environment Conservation Act (S.R.O No 220-law/2005). Government of Bangladesh, Dhaka

    Google Scholar 

  • Grzywacz MC (2006) Monitoring for gaseous pollutants in museum environments. Getty Publications, California, USA

    Google Scholar 

  • IPCC (2007) Changes in atmospheric constituents and in radiative forcing (fourth assessment report). Cambridge University Press, Cambridge, United Kingdom

    Google Scholar 

  • Irfan M, Riaz M, Arif MS, Shahzad SM, Hussain S, Akhtar MJ, van den Berg L, Abbas F (2015) Spatial distribution of pollutant emissions from crop residue burning in the Punjab and Sindh provinces of Pakistan: uncertainties and challenges. Environ Sci Pollut Res 22:16475–16491

    Article  CAS  Google Scholar 

  • Kanakidou M, Mihalopoulos N, Kindap T, Im U, Vrekoussis M, Gerasopoulos E, Moubasher H (2011) Megacities as hot spots of air pollution in the East Mediterranean. Atmos Environ 45(6):1223–1235

    Article  CAS  Google Scholar 

  • Lin J, Lee LC (2004) Characterization of the concentration and distribution of urban submicron (PM1) aerosol particles. Atmos Environ 38:469–475

    Article  CAS  Google Scholar 

  • Liu Z, Wang Y, Hu B, Ji D, Zhang J, Wu F, Wan X, Wang Y (2015) Source appointment of fine particle number and volume concentration during severe haze pollution in Beijing in January 2013. Environ Sci Pollut Res:1-16

  • Namdeo A, Bell MC (2005) Characteristics and health implications of fine and coarse particulates at roadside, urban background and rural sites in UK. Environ Int 31:565–573

    Article  CAS  Google Scholar 

  • Norela S, Saidah MS, Mahmud M (2013) Chemical composition of the haze in Malaysia 2005. Atmos Environ 77:1005–1010

    Article  CAS  Google Scholar 

  • Perez P, Reyes J (2002) Prediction of maximum of 24-h average of PM10 concentrations 30 h in advance in Santiago, Chile. Atmos Environ 36:4555–4561

    Article  CAS  Google Scholar 

  • Pope CA III, Brook RD, Burnett RT, Dockery DW (2011) How is cardiovascular disease mortality risk affected by duration and intensity of fine particulate matter exposure? An integration of the epidemiologic evidence. Air Qual Atmos Heal 4(1):5–14

    Article  Google Scholar 

  • Putero D, Cristofanelli P, Marinoni A, Adhikary B, Duchi R, Shrestha SD, Verza GP, Landi TC, Calzolari F, Busetto M, Agrillo G, Biancofiore F, Di Carlo P, Panday AK, Rupakheti M, Bonasoni P (2015) Seasonal variation of ozone and black carbon observed at Paknajol, an urban site in the Kathmandu Valley, Nepal. Atmos Chem Phys Discuss 15(16):22527–22566

    Article  Google Scholar 

  • Randall S, Sivertsen B, Uddin N, Rana M, Cruz ND (2014) Contribution of brick kilns to air quality in Dhaka City. BAPMAN project deliverable 1.3: bottom-up-emission inventory and dispersion modelling. Kjeller, Norway. (NILU OR, 12/2014)

  • Salam A, Hossain T, Siddique MNA, Alam S (2008) Characteristics of atmospheric trace gases, particulate matter, and heavy metal pollution in Dhaka, Bangladesh. Air Qual Atmos Heal 1:101–109

    Article  CAS  Google Scholar 

  • Seibert P, Kromp-Kolb H, Baltensperger U, Jost D (1994) Trajectory analysis of high-alpine air pollution data. In: NATO Challenges of Modern Society 18

  • Seinfeld HJ, Pandis NS (1998) Atmospheric chemistry and physics. Wiley, USA

    Google Scholar 

  • Singh A, Rastogi N, Sharma D, Singh D (2015) Inter and intra-annual variability in aerosol characteristics over Northwestern Indo-Gangetic Plain. Aerosol Air Qual Res 15:376–386

    CAS  Google Scholar 

  • Stohl A (1996) Trajectory statistics-a new method to establish source-receptor relationships of air pollutants and its application to the transport of particulate sulfate in Europe. Atmos Environ 30(4):579–587

    Article  CAS  Google Scholar 

  • Van Tienhoven AM, Scholes MC (2003) Air pollution impacts on vegetation in South Africa. Air pollution impacts on crops and forests: a global assessment. Imperial College Press, London, pp 237–262

    Book  Google Scholar 

  • Wang S, Hao J (2012) Air quality management in China: issues, challenges, and options. J Environ Sci 24:2–13

    Article  CAS  Google Scholar 

  • WHO (2006) Air quality guidelines: global update 2005: particulate matter, ozone, nitrogen dioxide, and sulfur dioxide. World Health Organization, Geneva

    Google Scholar 

  • WHO (2012) Diesel engine exhaust carcinogenic. World Health Organization, Geneva

    Google Scholar 

  • WHO (2014a) 7 million premature deaths annually linked to air pollution. World Health Organization, Geneva

    Google Scholar 

  • WHO (2014b) WHO’s Ambient Air Pollution database—update 2014. World Health Organization, Geneva

    Google Scholar 

  • Zhang Z, Wang J, Chen L, Chen X, Sun G, Zhong N, Kan H, Lu W (2014) Impact of haze and air pollution-related hazards on hospital admissions in Guangzhou, China. Environ Sci Pollut Res 21:4236–4244

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We acknowledge research grant (code: DIP-2014-017) from Universiti Kebangsaan Malaysia for financial support to the first author. We would like to offer our heartiest gratitude to Dr. Mohammad Nasiruddin, former Project Director of the CASE project, DoE, Dhaka, Dr. M. Khaliquzzaman, Senior Environmental Consultant, World Bank Dhaka Office, and Ms. Shahanaj Rahman, of the DoE, Dhaka, for their assistance, encouragement, and support with information.

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Correspondence to Norela Sulaiman.

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Responsible editor: Gerhard Lammel

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Rana, M.M., Sulaiman, N., Sivertsen, B. et al. Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity. Environ Sci Pollut Res 23, 17393–17403 (2016). https://doi.org/10.1007/s11356-016-6950-4

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