Skip to main content

Advertisement

SpringerLink
Log in

The association between particulate matter concentration and meteorological parameters in Dhaka, Bangladesh

  • Original Paper
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

Detrended cross-correlation and multiple regression analyses were applied to a 5 year dataset (2013–2017) of concentration of particulate matter with aerodynamic diameters less than 2.5 (PM2.5) and 10 μm (PM10), and a set of meteorological parameters (rainfall, wind speed, temperature, solar radiation and relative humidity) to determine seasonal dependence of PM in Dhaka, Bangladesh. PM was negatively correlated with all meteorological parameters except for solar radiation. The response of PM to wind speed, relative humidity and rainfall had no lag, whereas a 1 day lagged response of PM was observed with temperature and solar radiation. Seasonal cross-correlation analysis suggests dispersion of PM by strong wind during pre-monsoon and monsoon seasons, while the increase of PM concentration occurs from local pollution sources during the less windy winter. The effect of relative humidity on the deposition of PM (especially the coarser fraction) is more pronounced than the effect of rainfall during pre-monsoon. The outcome of multiple regression analysis was consistent with the univariate analysis and showed that meteorological parameters could explain up to 76% and 73% of daily PM2.5 and PM10 variation, respectively. The association of PM with meteorological parameters in Dhaka city is similar to other countries located in subtropical climate regions. Our results serve as a reference for future studies to predict PM concentration through meteorological variation to facilitate air pollution management in Dhaka city.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The datasets analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Afrin S, Islam MM, Ahmed T (2021) A meteorology based particulate matter prediction model for megacity Dhaka. Aerosol Air Qual Res 21:200371

    Article  Google Scholar 

  • Ahmed J, Hossain KS, Bashar MA (2013) Aeromycoflora of the Dhaka university campus. Bangladesh J Bot 42(2):273–278

    Article  Google Scholar 

  • Aiube FAL (2005) Modelagem dos preços futuros de commodities: abordagem pelo filtro de partículas. Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro

    Google Scholar 

  • Akanda AS, Jutla AS, Alam M, de Magny GC, Siddique AK, Sack RB, Huq A, Colwell RR, Islam S (2011) Hydroclimatic influences on seasonal and spatial cholera transmission cycles: implications for public health intervention in the Bengal Delta. Water Resour Res 47(3):W00H07

    Article  Google Scholar 

  • Akyuz M, Cabuk H (2009) Meteorological variations of PM2.5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey. J Hazardous Mater 170:13–21

    Article  Google Scholar 

  • Asimakopoulos DN, Flocas HA, Maggos T, Vasilakos C (2012) The role of meteorology on different sized aerosol fractions (PM10, PM2.5, PM2.5-10). Sci Total Environ 419:124–135. https://doi.org/10.1016/j.scitotenv.2011.12.064

    Article  Google Scholar 

  • Barmpadimos I, Keller J, Hueglin C, Prevot ASH (2012) One decade of parallel fine (PM2.5) and coarse (PM10-PM2.5) particulate matter measurements in Europe: trends and variability. Atmos Chem Phys 12(7):3189–3203

    Article  Google Scholar 

  • Begum BA, Hopke PK, Markwitz A (2013) Air pollution by fine particulate matter in Bangladesh. Atmos Pollut Res 4(1):75–86

    Article  Google Scholar 

  • Begum B, Saroar G, Nasiruddin M, Randal S, Sivertsen B, Hopke P (2014) Particulate matter and black carbon monitoring at urban environment in Bangladesh. Nuclear Sci Appl 23(1–2):21–28

    Google Scholar 

  • Begum BA, Hopke PA, Markwitz A (2016) An Approach for quantitative estimation of long range transport of fine particulate matter entering Bangladesh. Int J Integr Sci Technol 2:34–38

    Google Scholar 

  • Chaloulakou A, Kassomenos P, Spyrellis N, Demokritou P, Koutrakis P (2003) Measurements of PM10 and PM2.5 particle concentrations in Athens, Greece. Atmos Env 37(5):649–660

    Article  Google Scholar 

  • Dayan U, Levy I (2005) The influence of meteorological conditions and atmospheric circulation types on PM10 and visibility in Tel Aviv. J Appl Meteorol 44(5):606–619

    Article  Google Scholar 

  • DeGaetano AT, Doherty OM (2004) Temporal, spatial and meteorological variations in hourly PM2.5 concentration extremes in New York City. Atmos Env 38(11):1547–1558

    Article  Google Scholar 

  • Dockery D, Schwartz J, Spengler J (1993) Air pollution and daily mortality: associations with particulates and acid aerosols. Environ Res 59:362–373

    Article  Google Scholar 

  • Elminir HK (2005) Dependence of urban air pollutants on meteorology. Sci Total Environ 350(1):225–237

    Article  Google Scholar 

  • Friedlander SK (2000) Gas to particle conversion. Smoke, dust, and haze: fundamentals of aerosol dynamics (topics in chemical engineering), 2nd edn. Oxford University Press, UK, pp 275–305

    Google Scholar 

  • Galindo N, Varea M, Gil-Moltó J, Yubero E, Nicolás J (2011) The influence of meteorology on particulate matter concentrations at an urban Mediterranean location. Water Air Soil Pollut 215(1):365–372

    Article  Google Scholar 

  • Gietl JK, Klemm O (2009) Analysis of traffic and meteorology on airborne particulate matter in Munster, Northwest Germany (1995). J Air Waste Manag Assoc 59(7):809–818

    Article  Google Scholar 

  • Giri D, Murthy VK, Adhikary P (2008) The influence of meteorological conditions on PM10 concentrations in Kathmandu Valley. Int J Env Res 2(1): 49–60

  • Guo H, Wang DW, Cheung K, Ling ZH, Chan CK, Yao XH (2012) Observation of aerosol size distribution and new particle formation at a mountain site in subtropical Hong Kong. Atmos Chem Phys 12:9923–9939

    Article  Google Scholar 

  • Guo LC, Zhang Y, Lin H, Zeng W, Liu T, Xiao J, Ma W (2016) The wash-out effects of rainfall on atmospheric particulate pollution in two Chinese cities. Environ Pollut 215:195–202

    Article  Google Scholar 

  • Gupta AK, Nag S, Mukhopadhyay UK (2006) Characterisation of PM10, PM2.5 and Benzene soluble organic fraction of particulate matter in an urban area of Kolkata, India. Env Monit Assess 115:205–222

    Article  Google Scholar 

  • Hajiloo F, Hamzeh S, Gheysari M (2019) Impact assessment of meteorological and environmental parameters on PM2.5 concentrations using remote sensing data and GWR analysis (case study of Tehran). Env Sci Pollut Res 26(24):24331–24345

    Article  Google Scholar 

  • Hamed A, Joutsensaari J, Mikkonen S, Sogacheva L, Maso MD, Kulmala M, Cavalli F, Fuzzi S, Facchini MC, Decesari S, Mircea M, Lehtinen KEJ, Laaksonen A (2007) Nucleation and growth of new particles in Po Valley, Italy. Atmos Chem Phys 7:355–376

    Article  Google Scholar 

  • Hamed A, Korhonen H, Sihto SL, Joutsensaari J, Järvinen H, Petäjä T, Arnold F, Nieminen T, Kulmala M, Smith JN, Lehtinen KEJ, Laaksonen A (2011) The role of relative humidity in continental new particle formation. J Geophys Res 116:D03202

    Google Scholar 

  • Harvey AC (1990) Forecasting, structural time series models and the Kalman filter. Cambridge University Press, UK

    Book  Google Scholar 

  • Hien PD, Bac VT, Tham HC, Nhan DD, Vinh LD (2002) Influence of meteorological conditions on PM2.5 and PM2.5−10 concentrations during the monsoon season in Hanoi, Vietnam. Atmos Env 36(21):3473–3484

    Article  Google Scholar 

  • Islam M, Afrin S, Ahmed T, Ali MA (2015) Meteorological and seasonal influences in ambient air quality parameters of Dhaka City. J Civil Eng (IEB) 43(1):67–77

    Google Scholar 

  • Ji DLL, Wang Y, Zhang J, Cheng M, Sun Y, Chao N (2014) The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation. Atmos Environ 92:546–556

    Article  Google Scholar 

  • Kanawade VP, Tripathi SN, Siingh D, Gautam AS, Srivastava AK, Kamra AK, Soni VK, Sethi V (2014) Observations of new particle formation at two distinct Indian subcontinental urban locations. Atmos Environ 96:370–379

    Article  Google Scholar 

  • Kerminen VM, Chen X, Vakkari V, Petäjä T, Kulmala M, Bianchi F (2018) Atmospheric new particle formation and growth: review of field observations. Env Res Lett 13:103003

    Article  Google Scholar 

  • Li X, Ma Y, Wang Y, Liu N, Hong Y (2017) Temporal and spatial analyses of particulate matter (PM10 and PM2.5) and its relationship with meteorological parameters over an urban city in northeast China. Atmos Res 198:185–193

    Article  Google Scholar 

  • Lu C, Deng QH, Liu WW, Huang BL, Shi LZ (2012) Characteristics of ventilation coefficient and its impact on urban air pollution. J Central South Univ 19(3):615–622

    Article  Google Scholar 

  • Munir S, Habeebullah TM, Seroji AR, Morsy EA, Mohammed AMF, Saud WA, Abdou AEA, Awad AH (2013) Modeling particulate matter concentrations in Makkah, applying a statistical modeling approach. Aerosol Air Qual Res 13(3):901–910

    Article  Google Scholar 

  • Pope IC, Burnett RT, Thun MJ (2002) Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. J Am Med Assoc 287(9):1132–1141. https://doi.org/10.1001/jama.287.9.1132

    Article  Google Scholar 

  • Qi XM, Ding AJ, Nie W, Petäjä T, Kerminen VM, Herrmann E, Xie YN, Zheng LF, Manninen H, Aalto P, Sun JN, Xu ZN, Chi XG, Huang X, Boy M, Virkkula A, Yang XQ, Fu CB, Kulmala M (2015) Aerosol size distribution and new particle formation in the western Yangtze River Delta of China: 2 years of measurements at the SORPES station. Atmos Chem Phys 15:12445–12464

    Article  Google Scholar 

  • Ramanathan V, Crutzen PJ, Kiehl JT, Rosenfeld D (2001) Aerosols, climate, and the hydrological cycle. Sci (New York, NY) 294(5549):2119–2124. https://doi.org/10.1126/science.1064034

    Article  Google Scholar 

  • Rouf M, Nasiruddin M, Hossain A, Islam M (2011) Trend of particulate matter PM25 and PM10 in Dhaka city, Bangladesh. J Sci Ind Res 46(3):389–398

    Google Scholar 

  • Satheesh SK, Moorthy KK, Babu SS, Vinoj V, Dutt CBS (2008) Climate implications of large warming by elevated aerosol over India. Geophys Res Lett 35(19):1–6

  • Stieb DM, Judek S, Burnett RT (2002) Meta-analysis of time-series studies of air pollution and mortality: effects of gases and particles and the influence of cause of death, age, and season. J Air Waste Manag Assoc 52(4):470–484

    Article  Google Scholar 

  • Sun K, Liu HN, Ding AJ, Wang XY (2016) WRF-Chem simulation of a severe haze episode in the Yangtze River Delta, China. Aerosol Air Qual Res 16:1268–1283

    Article  Google Scholar 

  • Tai A, Mickley LJ, Jacob DJ (2010) Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change. Atmos Env 44(32):3976–3984

    Article  Google Scholar 

  • Toro R, Kvakić M, Klaić ZB, Koračin D (2019) Exploring atmospheric stagnation during a severe particulate matter air pollution episode over complex terrain in Santiago, Chile. Environ Pollut 244:705–714

    Article  Google Scholar 

  • Trivedi DK, Ali K, Beig G (2014) Impact of meteorological parameters on the development of fine and coarse particles over Delhi. Sci Total Environ 478:175–183

    Article  Google Scholar 

  • Vehkamaki H, Dal Maso M, Hussein T, Flanagan R, Hyvarinen A, Lauros J, Merikanto J, Monkkonen P, Pihlatie M, Salminen K, Sogacheva L, Thum T, Ruuskanen TM, Keronen P, Aalto PP, Hari P, Lehtinen KEJ, Rannik U, Kulmala M (2004) Atmospheric particle formation events at varrio measurement station in Finnish Lapland 1998–2002. Atmos Chem Phys 4:2015–2023

    Article  Google Scholar 

  • Wang J, Wang Y, Liu H, Yang Y, Zhang X, Li Y, Zhang Y, Deng G (2013) Diagnostic identification of the impact of meteorological conditions on PM2.5 concentrations in Beijing. Atmos Environ 81:158–165

    Article  Google Scholar 

  • Wang P, Cao J, Tie X, Wang G, Li G, Hu T, Wu Y, Xu Y, Xu G, Zhao Y, Ding W, Liu H, Huang R-J, Zhan C (2015) Impact of meteorological parameters and gaseous pollutants on PM2.5 and PM10 mass concentrations during 2010 in Xi’an, China. Aerosol Air Qual Res 15(5):1844–1854

    Article  Google Scholar 

  • Wang D, Zhou B, Fu Q, Zhao Q, Zhang Q, Chen J, Li J (2016) Intense secondary aerosol formation due to strong atmospheric photochemical reactions in summer: observations at a rural site in eastern Yangtze River Delta of China. Sci Total Environ 571:1454–1466

    Article  Google Scholar 

  • WHO (2016) Ambient air pollution: a global assessment of exposure and burden of disease. World Health Organization, Geneva, Switzerland

    Google Scholar 

  • Yang L, Li Y (2011) Thermal conditions and ventilation in an ideal city model of Hong Kong. Energy Build 43(5):1139–1148

    Article  Google Scholar 

  • Zhao X, Zhang X, Xu X, Xu J, Meng W, Pu W (2009) Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing. Atmos Env 43(18):2893–2900. https://doi.org/10.1016/j.atmosenv.2009.03.009

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Department of Environment (DoE) for providing the ambient air quality and meteorological data. Graduate student funding from CASR, BUET is also acknowledged.

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Nafisa Islam & Tanvir Ahmed

  2. Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Tarik Reza Toha

  3. Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, USA

    Mohammad Maksimul Islam

Authors
  1. Nafisa Islam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tarik Reza Toha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohammad Maksimul Islam
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tanvir Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tanvir Ahmed.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Responsible Editor: Clemens Simmer.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 461 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Islam, N., Toha, T.R., Islam, M.M. et al. The association between particulate matter concentration and meteorological parameters in Dhaka, Bangladesh. Meteorol Atmos Phys 134, 64 (2022). https://doi.org/10.1007/s00703-022-00898-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00703-022-00898-2

Search

Navigation