Original Research

Correlation between air pollutants concentration and meteorological factors on seasonal air quality variation

Abstract

Introduction: Hitherto studies have concentrated on the pollution concentration in an ambient environment not putting into cognizance meteorological factors that can determine the fate/trail of the pollutant in the atmosphere.
Materials and methods: Accordingly, the study monitored ambient topical air triplicate day-time concentration of NO2, PM10, SO2, H2S and CO using portable digital air pollution detecting device for 30 days in each of the representative apex months of dry (April) and wet (August) months of 2018 in Kano Metropolis. However, meteorological data were collated from Nigerian Meteorological Agency (NiMet).
Results: The result showed pollution concentration for Bompai and Sabon Gari are the highest followed by Dowrawa and School of Technology. On the other hand Bompai and Sabon Gari had higher concentration in all pollutants in dry season followed by School of Technology and Dowrawa. Furthermore, temperature, relative humidity and precipitation washout or scavenging effect on NO2, PM10, SO2, H2S and CO were analyzed quantitatively. The result showed concentration of the pollutants in the atmosphere where lower under condition of increased precipitation, low temperature and increased humidity level compared to that of the dry season. In addition, Pearson correlation analysis of pollutants and meteorological variables establishes strong relationship exist between temperature, relative humidity, precipitation and pollutant concentration in both dry and wet season. Lastly, Hazardous zones were identified using GIS mapping, Bompai and Sabon Gari are more disposed to ailments while Dowrawa and School of Technology would experience bioaccumulation over time.
Conclusion: Consequently, the study exposes the influence of meteorological parameters on the seasonal variability, concentration and environmental fate of pollutant, which could be used in controlling urban air pollution thereby sustainably improving environmental quality and protecting human health.

References
1. Tiwary A, Colls J. Mitigating secondary aerosol generation potentials from biofuel use in the energy sector. Science of the total environment. 2010 Jan 1;408(3):607-16.
2. Onursal B, Gautam SP. Vehicular air pollution: experiences from seven Latin American urban centers. The World Bank technical paper. Washington, D.C.1997;373(3):52-74.
3. Pant P, Harrison RM. Critical review of receptor modelling for particulate matter: a case study of India. Atmospheric
Environment. 2012 Mar 1;49:1-2.
4. World Health Organization WHO Dengue and Dengue Haemorrhagic Fever, 2012 - dl4a.org. 2012 Jun;94(Pt 2):5-79.
5. Whitelegg J, Haq G. Vision Zero: Adopting a target of zero for road traffic fatalities and serious injuries. Researchgate.
The Institute; 2006.
6. Bastos J, Batterman SA, Freire F. Life-cycle energy and greenhouse gas analysis of three building types in a residential area in Lisbon. Energy and buildings. 2014 Feb 1;69:344-53.
7. Onursal B, Gautam SP. Vehicular air pollution : experiences from seven Latin American urban centers. The World Bank; no. WTP 373. Washington, D.C.1997 May;81(7):42-51.
8. Franke A, McGovern DP, Barrett JC, Wang K, Radford- Smith GL, Ahmad T, et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nature genetics. 2010
Dec;42(12):1118.
9. Grobéty B, Gieré R, Dietze V, Stille P. Airborne particles in the urban environment. Elements. 2010 Aug 1;6(4):229-34.
10. UNEP/WHO. Urban air pollution in megacities of the world, Atmospheric Environment. 1992;30(5):681-686.
11. Jorgensen WL, Jenson C. Temperature dependence of TIP3P, SPC, and TIP4P water from NPT Monte Carlo simulations: Seeking temperatures of maximum density. Journal of computational chemistry. 1998 Jul 30;19(10):1179-86.
12. Moragues A, Alcaide T. The use of a geographical information system to assess the effect of traffic pollution. Science of the total environment. 1996 Oct 28;189:267- 73.
13. Gualtieri G, TartagliaM. Predicting urban traffic air pollution: A GIS framework, Transportation Research Part D. Transport and Environment. 1998;3(5): 329-336.
14. Cropper ML, Sahin S. Valuing mortality and morbidity in the context of disaster risks. The World Bank. 2009;27(4):93-97
15. Namdeo AK, Colls JJ. Development and evaluation of SBLINE, a suite of models for the prediction of pollution
concentrations from vehicles in urban areas. Science of the total Environment. 1996;189(19):311-320.
16. Gorai AK, Tuluri F, Tchounwou PB, Ambinakudige S. Influence of local meteorology and NO2 conditions on
ground-level ozone concentrations in the eastern part of Texas, USA. Air Quality, Atmosphere and Health. 2015;8(2):81-96.
17. Cheng CS, Campbell M, Li Q, Li G, Auld H, Day N, Pengelly D, Gingrich S, Yap D. A synoptic climatological approach to assess climatic impact on air quality in south-central Canada. Part II: future estimates. Water,
air, and soil pollution. 2007 Jun 1;182(1-4):117-30.
18. Elminir HK. Dependence of urban air pollutants on meteorology. Science of the Total Environment. 2005 Nov 1;350(1-3):225-37.
19. Ocak S, Turalioglu FS. Effect of Meteorology on the Atmospheric Concentrations of Traffic- Related Pollutants in Erzurum, Turkey. J. Int. Environmental Application & Science. 2008;3(4):325-335.
20. Jacob DJ, Winner DA. Effect of climate change on air quality.Atmospheric Environment. 2009;43(8):51-63.
21. Seinfeld JH, Pandis SN. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. John Wiley & Sons; 2016 Apr 4.
22. Gillespie A. Climate change, ozone depletion and air pollution: Legal commentaries within the context of science and policy. Brill. ISBN: 9004145206, 9789004145207. 2006;52(2):32-39.
23. Ibrahim AM. Evolutionary Trend, Spatial Distribution of, and Issues Associated with markets in Kano Metropolis. Journal of Research on Humanities and Social Sciences. 2014;3(28):4-7.
24. Abelson P. The value of life and health for public policy. Economic Record. 2003 Jun;79(SpecialIssue):S2-13.
25. Benjamin, JR. Probability, statistics and decision for civil engineers. Courier Corporation. 2014;2(1):34-39
26. Abayomi YA, Fadayomi O, Babatola JO, Tian G. Evaluation of selected legume cover crops for biomass production,
dry season survival and soil fertility improvement in a moist savanna location in Nigeria. African Crop Science Journal. 2001;9(4):615-27.
27. Wafula EM, Onyango FE, Mirza WM, Macharia WM, Wamola I, Ndinya-Achola JO, Agwanda R, Waigwa RN, Musia J. Epidemiology of acute respiratory tract infections among young children in Kenya. Reviews of Infectious Diseases. 1990 Nov 1;12(Supplement_8):S1035-8.
28. Aunan KG, Patzay H, Asbjorn A, Martin S. Health and environmental benefits from air pollution reductions in Hungary.The Science of the Total Environment. 1998;23(212):245-268.
29. Brook RD, Rajagopalan S, Pope III CA, Brook JR, Bhatnagar A, Diez-Roux AV, Holguin F, Hong Y, Luepker RV, Mittleman MA, Peters A. Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association. Circulation. 2010 Jun 1;121(21):2331-78. doi: 10.1161/CIR.0b013e3181dbece1
30. Harfenist E. Air pollution is choking cities in lowincome countries. Vocative 2016 May Available from: http://www.vocativ.com/318345/air pollutionis choking-cities-in-low-income-countries/index.html. 2018 Jan;83(9):82-91
31. Dominick D, Juahir H, Latif M, Zain S, Aris AZ. Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmospheric Environment. 2012 Dec 1;60:172-81.
32. Azmi SZ, Latif MT, Ismail AS, Juneng L, Jemain AA. Trend and status of air quality at three different monitoring stations in the Klang Valley, Malaysia. Air Quality, Atmosphere & Health. 2010 Mar 1;3(1):53-64.
33. Butler CD, Whelan J. Air pollution and climate change in Australia: a triple burden. Climate change and air pollution. Springer, Berlin. 2018;7(23):131-149.
34. Njoku LK, Akinola MO, Oboh BO. Phytoremediation of crude oil polluted soil: Effect of cow dung augmentation
on the remediation of crude oil polluted soil by
Glycine max. 2012.
35. Younossi Z, Anstee QM, Marietti M, Hardy T, Henry
L, Eslam M, George J, Bugianesi E. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nature reviews Gastroenterology & hepatology. 2018 Jan;15(1):11.
36. Ngele SO, Onwu FK. Measurement of ambient air fine and coarse particulate matter in ten South – East Nigerian
cities. Research Journal of Chemical Sciences. 2015;5(1):71 – 77.
37. Hosseinibalam F, Hejazi A. Influence of meteorological Parameters on Air Pollution in Isfahan. The 3rd International Conference on Biology, Environment and Chemistry. IACSIT Press, Singapore. IPCBEE. 2012;46:7- 12.
38. Wen CC, Yeh HH. Comparative influences of airborne pollutants and meteorological parameters on atmospheric visibility and turbidity. Atmospheric research. 2010 Jun 1;96(4):496-509.
39. Majewski G, Klenieewska M, BrandykA. Seasonal variation of particulate matter mass concentration and
content of metal. Polish Journal of environmental studies. 2011 Jan 1;20(2):417-27.
40. Rene GT. An Air Quality Baseline Assessment for the Vaal Air Shed in South Africa. A Master Thesis Dissertation.
Geoinformatics and Meteorology Department, University of Pretoria, South Africa. 2008;12(2):81.
41. Gamo M, Goyal P, Kumari M, Mohanty UC, Singh MP. Mixed-layer characteristics as related to the monsoon
climate of New Delhi, India. Boundary-layer meteorology. 1994 Jan 1;67(3):213-27.
42. Srimuruganandam B, Nagendra SM. Analysis and interpretation of particulate matter–PM10, PM2.5 and PM1 emissions from the heterogeneous traffic near an urban roadway. Atmospheric Pollution Research. 2010 Jul 1;1(3):184-94.
43. Jacobson MZ. Fundamentals of Atmospheric Modelling. 2nd ed. Cambridge: Cambridge University Press; 2005. http://dx.doi.org/10.1017/CBO9781139165389
44. Wang XK, Lu WZ. Seasonal variation of air pollution index: Hong Kong case study. Chemosphere. 2006 May 1;63(8):1261-72.
45. Pathakoti M, Gaddamidi S, Gharai B, Sudhakaran Syamala P, Rao PV, Choudhury SB, et al. Influence of meteorological parameters on atmospheric CO2 at Bharati, the Indian Antarctic research station. Polar Research. 2018;37(1):144-207.
46. Nagendra S, Khare M. Diurnal and seasonal variations of carbon monoxide and nitrogen dioxide in Delhi city.
International Journal of Environment and pollution. 2003;19(1):75–95.
47. Abdul-Wahab SA, Bouhamra WS. Diurnal variations of air pollution from motor vehicles in residential area. International Journal of Environmental Studies. 2004;61(1):73–98.
48. Lim D, Lee TJ, Kim DS. Development and Validation Test of Effective Wet Scavenging Contribution Regression Models Using Long-term Air Monitoring and Weather Database. Korean Society for Atmospheric Environment. 2013;29(3):297-306.
49. Everitt BS. The analysis of contingency tables. CRC Press; 1992 Feb 1.
50. Dalu GA, Pielke RA. An analytical study of the sea breeze. Journal of the Atmospheric Sciences. 1989;46(12):1815–1825.
51. Floret N, MaunyF, Challier B, Arveux P, Cahn JY, Viel JF. Dioxin emissions from a solid waste incinerator and risk of non-Hodgkin’s lymphoma. Epidemiology.
2003;14(6):392–398.
52. Kan SF, Tanner PA. Inter-relationship and seasonalvariations of inorganic components of PM10 in a westernpacific
coastal city. Water, Air, and Soil Pollution. 2005;165(1-4):113–130.
53. Temple PJ, Taylor OC. World-wide ambient measurements of peroxyacetyl nitrate (PAN) and implications for plant injury. Atmospheric Environment (1967). 1983 Jan 1;17(8):1583-7.
54. Ratti C, Raydan D, Steemers K. Building form and environmental performance: archetypes, analysis and an arid climate. Energy and buildings. 2003 Jan 1;35(1):49-59.
55. Belcher SE, Jerram N, Hunt JC. Adjustment of a turbulent boundary layer to a canopy of roughness elements. Journal of Fluid Mechanics. 2003 Jul;488:369-98.
56. Dimoudi A. NikolopoulouM. Vegetation in the urban environment: microclimate analysis and benefits. Energy and Buildings. 2003 Jan 1;35(1):69-76.
57. Kirillova VI. Physical-statistical prediction of maximal concentration for urban air pollution. Dissertation, Voeikov Main Geophysical Observatory, St. Petersburg. 2003;2(7):68-69
58. Zannetti P, Melli P, Runca E. Meteorological factors affecting SO2 pollution levels in Venice. Atmospheric Environment (1967). 1977 Jan 1;11(7):605-16.
59. Mayer H. Air pollution in cities. Atmospheric Environment.
1999;33(5):4029–4037.
60. Witz S, Larm AM, Elvin BM, Moore AB. The relationship
between concentration of traffic-related pollutants and meteorology at a Los Angeles site. Journal of the Air Pollution Control Association. 1982 Jun 1;32(6):643-5.
61. Summers PW. The seasonal, weekly, and daily cycles of atmospheric smoke content in Central Montreal. Journal of the Air Pollution Control Association. 1966 Aug 1;16(8):432-8.
62. Sahu LK, Lal S. Distribution of C2–C5 NMHCs and related trace gases at a tropical urban site in India. Atmospheric
Environment. 2006;40(5):880–891.
Files
IssueVol 5 No 1 (2020): Winter 2020 QRcode
SectionOriginal Research
DOI https://doi.org/10.18502/japh.v5i1.2856
Keywords
Air pollution air quality Fate; Human health

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Oji S, Adamu H. Correlation between air pollutants concentration and meteorological factors on seasonal air quality variation. JAPH. 2020;5(1):11-32.