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2021 | 160 | 284-309

Article title

Atmospheric Ventilation Modelling of Wind Characteristics on Particulate Matter Dispersion in Ajaokuta Industrial Corridor, Kogi State, Nigeria


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This study established the potency of wind speed and direction on the dispersion of near-ground level atmospheric particulate matter in the Ajaokuta Industrial Corridor, Kogi State. The investigation of wind speed, direction and PM was carried out in Five-sampled Stations which corresponds to Station 1 (TCN), station 2 and 3 (Ajaokuta Steel Company), station 4 (GPP & MLGP), and station 5 (WACF & BNCF) at sunrise noontime, and sunset hour in 25 consecutive days. Association between wind characteristics (speed and direction) and PM was assessed using the PPMC statistics, while the ALOHA software was used to modelled the potential threat zone of PM emission in the Ajaokuta Industrial Corridor based on the Gaussian Plume Dispersion principles. Findings revealed that the wind speed in the Ajaokuta Industrial Corridor ranged between 2.0-3.0 m/s at sunrise and 1.0-2.0/s at noontime and sunset hours. The prevailing wind blows from the SSW, WSW, and SSE directions at sunrise, noontime, and sunset hours. PM2.5 ranged from 14.6 - 80.1 ug/m3 at sunrise, 30.1-129.3 ug/m3 at noon and 30-88.7 ug/m3 across the sampled stations. PM10 ranged from 18.9 - 115.9 ug/m3, 53.7 - 171.9 ug/m3 and 33.7 - 117.2 ug/m3 at sunrise, noon and sunset hours across the sampled stations. The associated of wind direction was inversely significant to the concentration of PM25 at sunrise (r = -0.42, p<0.0352) and noontime (r = -0.44, p<0.0289), while wind speed showed an inverse relationship with the concentration of PM10 at sunset (r = -0.49, p<0.0124). The angle of dispersion of PM2.5 and PM10 at the Industrial Corridor of Ajaokuta is inversely proportional to the prevailing wind speed and direction as such; adjacent areas (NNE, NE, ENE and NNW) to the wind direction are potential threat zones of air pollution. Therefore, settlements within these locations should be relocated, because these areas are not safe for human habitation.


  • Ecosphere Consulting Limited, No 47, Ahmed Joda Crescent, Kado Estate, Abuja, Nigeria
  • Department of Geography, Faculty of Social Science, University of Abuja, Abuja, Nigeria
  • Department of Geography, Faculty of Social Science, University of Abuja, Abuja, Nigeria


  • [1] O.E. Abiye, L.A. Sunmonu, A.I. Ajao, O.E. Akinola, M.A. Ayoola & O.O. Jegede | Francesca Verones (Reviewing Editor) (2016) Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO2 and NOX) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria. Cogent Environmental Science, 2: 1, DOI: 10.1080/23311843.2016.1275413
  • [2] Akinyemi, M.L., Emetere, M.E. and Akinwumi, S.A. (2016). Dynamics of Wind Strength and Wind Direction on Air Pollution Dispersion. Asian Journal of Applied Sciences, 4(2), 422-429
  • [3] Amodio, M., Catino, S., Dambruoso, P.R., Gennaro, G., Di Gilio, A., Di Giunngato, P., Laiola, E., Marzocca, A., Mazzone, A., Sardaro, A., and Tutino, M. (2014). Atmospheric deposition: Sampling procedures, analytical methods, and main recent findings from the scientific literature. Adv. Meteorology, 1-27. http://dx.doi.org/10.1155/2014/161730
  • [4] Ayanlade, A., and Oyegbade, E.F. (2016). Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise. SpringerPlus, 5: 1898
  • [5] Bourotte, C.L.M, Sanchéz-Ccoyllo, O.R., Forti, M.C., and Melfi, A.J. (2011). Chemical Composition of Atmospheric Particulate Matter Soluble Fraction and Meteorological Variables in São Paulo State, Brazil. Revista Brasileira de Meteorologia, 26(3): 419-432
  • [6] Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J.A., Monni, S., Doering, U., Olivier, J.G.J., Pagliari, V., and Janssens-Maenhout, G. (2018). Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2. Earth Syst. Sci. Data, 10, 1987–2013. https://doi.org/10.5194/essd-10-1987-2018
  • [7] Csavina, J., Landázuri, A., Wonaschütz, A., Rine, K., Rheinheimer, P., Barbaris, B., Conant, W., Sáez, A.E. and Betterton, E.A. (2011). Metal and Metalloid Contaminants in Atmospheric Aerosols from Mining Operations. Water, Air, Soil Pollut, 221(1-4), 145-157
  • [8] Csavinaa, J., Field, J., Félixa, O., Corral-Avitiac, A.Y., Sáeza, A.E. and Betterton, E.A. (2014). Effect of Wind Speed and Relative Humidity on Atmospheric Dust Concentrations in Semi-Arid Climates. Sci Total Environ, 15: 487: 82–90
  • [9] Dunea, D., Iordache, S., Radulescu, C., Pohoata, A., and Dulama, I.D. (2016). A Multidimensional Approach to the Influence of Wind on the Variations of Particulate Matter and Associated Heavy Metals in Ploiesti City, Romania. Rom. Journ. Phys, 61(7–8): 1354–1368
  • [10] Etchie, T.O., Etchie, A.T., Adewuyi, G.O., Pillarisetti, A., Sivanesan, S., Krishnamurthi, K., and Arora, N.K. (2018). The gains in life expectancy by ambient PM 2.5 pollution reductions in localities in Nigeria. Environmental Pollution, 236, 146–157. doi:10.1016/j.envpol. 2018.01.034
  • [11] Fawole, O.G., Olofinjana, B. and Owoade, O.K. (2016). Compositional and air-mass trajectory analysis of a heavy dust episode (HDE) aerosols in Ile-Ife, Nigeria. British J. Appl. Sci and Tech, 13(1): 1-15
  • [12] Fernandes, F.M.C., Martins, E.S., Pedrosa, D.M.A.S., and Evangelista, M.D.S.N. (2017). Relationship between climatic factors and air quality with tuberculosis in the federal district, brazil, 2003–2012. Braz. J. Infect. Dis, 21: 369–375
  • [13] Fonseca, A.S., Maragkidou, A., Viana, M., Querol, X., Hämeri, K., de Francisco, I., de la Fuente, G.F. (2016). Process-generated nanoparticles from ceramic tile sintering: Emissions, exposure and environmental release. Science of the Total Environment, 565, 922–932. doi:10.1016/j.scitotenv.2016.01.106
  • [14] Global Burden of Diseases (GBD), 2015 Risk Factor Collaborators. (2016). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: A systematic analysis for the Global Burden of Disease study 2015. Lancet, 388:1659–1724
  • [15] Guttikunda S.K., and Gurjar, B.R. (2012). Role of Meteorology in seasonality of air pollution in megacity of Delhi, India. Environmental Monitoring and Assessment, 184(5): 3199-3211
  • [16] Harrison, C.K. (2020). Spatial Variation of Air Quality in Mpape Area of Abuja, Nigeria. World Scientific News, 140, 79-112
  • [17] Ibe, F.C., Opara, A.I., and Alinnor. J.I. (2017). Ambient Air Quality Assessment of Orlu, Southeastern, Nigeria. Journal of Applied Sciences, 17 (9): 441-457
  • [18] Ipeaiyeda, A.R. and Adegboyega, D.A. (2017). Assessment of Some Air Pollutadsnt Concentrations in Ibadan City, Nigeria. Journal of Health & Pollution, 7(13), 11-21
  • [19] Kgabi, N.A. and Mokgwetsi, T. (2010). Dilution and dispersion of inhalable particulate matter. WIT Transactions on Ecology and the Environment, 127: 229-238
  • [20] Kloog, I., Ridgway, B., Koutrakis, P., Coull, B.A., and Schwartz, J.D. (2013). Long- and Short-Term Exposure to PM2.5 and Mortality: Using Novel Exposure Models. Epidemiology, 24(4), 555–561. https://doi.org/10.1097/EDE.0b013e318294beaa
  • [21] Landrigan, P.J. (2017). Air pollution and health. The Lancet Public Health, 2(1), e4–e5. doi:10.1016/s2468-2667(16)30023-8
  • [22] Levy, I., Mahrer, Y., and Dayan, U. (2009). Coastal and synoptic recirculation affecting air pollutants dispersion: A numerical study. Atmospheric Environment, 43(12), 1991–1999. doi:10.1016/j.atmosenv.2009.01.017
  • [23] Li, L., Qian, J., Ou, C.Q., Zhou, Y.X., Guo, C., and Guo, Y. (2014). Spatial and temporal analysis of air pollution index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001–2011. Environmental Pollution, 190: 75–8
  • [24] Li, X., Chen, X., Yuan, X., Zeng, G., León, T., Liang, J., Chen, G., and Yuan, X. (2017). Characteristics of particulate pollution (PM2.5 and PM10) and their spacescale-dependent relationships with meteorological elements in china. Sustainability, 9: 23-30
  • [25] Lianou, M., Chalbot, M.C., Vei, I.C., Kotronarou, A., Kavouras, I.G., and Hoek, G. (2013). The Impact of Wind on Particle Mass Concentrations in Four European Urban Areas. Global NEST Journal, 15(2): 188-194
  • [26] Longley, I., Somervell, E. and Gray, S. (2015). Roadside increments in PM10, NOx and NO2 concentrations observed over 2 months at a major highway in New Zealand. Air Qual. Atmos. Health, 8:591-602
  • [27] Lu, S., Wang, D., Li, X., Wang, Z., Gao, Y., and Peng, Z. (2016). Three-dimensional distribution of fine particulate matter concentrations and synchronous meteorological data measured by an unmanned aerial vehicle (UAV) in Yangtze River Delta, China. Manuscript under Review for Journal Atmos. Meas. Tech. https://doi.org/10.5194/amt-2016-57
  • [28] Maji, K.J., Arora, M., and Dikshit, A.K. (2017). Burden of disease attributed to ambient PM2.5 and PM10 exposure in 190 cities in China. Environmental Science and Pollution Research, 24(12), 11559–11572. doi:10.1007/s11356-017-8575-7
  • [29] Matthew, O., Osabohien, R., Olawande, T., and Urhie, E. (2019). Manufacturing industries and construction emissions in Nigeria: Examining the effects on health conditions. International Journal of Civil Engineering and Technology 10(1), 2401-2414
  • [30] Moses, E.E, and Akinyemi, M.L (2013). Modeling of generic air pollution dispersion analysis from cement factory. Analele Universitatii din Oradea–Seria Geografie, 231123(628): 181-189
  • [31] Obioh, I.B., Ezeh, G.C., Abiye, O.E., Alpha, A., Ojo, E.O., and Ganiyu, A.K. (2013). Atmospheric particulate matter in Nigerian megacities. Toxicological and Environmental Chemistry, 95, 379–385. http://dx.doi.org/10.1080/02772248.2013 .790970
  • [32] Okobia, L.E., Hassan, S.M., and Adakayi, P. (2017). Increase in outdoor carbon dioxide and its effects on the environment and human health in Kuje FCT Nigeria. HER, 60(4): 104–112
  • [33] Olatunde, A.F. and Adejoh, I. (2017). Intensity, Duration and Frequency of Rainstorms in Lokoja Intensity, Duration and Frequency of Rainstorms in Lokoja. Science World Journal, 12(2): 36-40
  • [34] Owoade, K.O., Hopke, P.K., Olise, F.S., Ogundele, L.T., Fawole, O.G., Olaniyi, B.H., and Bashiru, M.I. (2015). Chemical compositions and source identification of particulate matter (PM 2.5 and PM 2.5–10) from a scrap iron and steel smelting industry along the Ife–Ibadan highway, Nigeria. Atmospheric Pollution Research, 6(1), 107–119. doi:10.5094/apr.2015.013
  • [35] Owoade, O.K., Olise, F.S., Ogundele, L.T., Fawole, O.G. and Olaniyi, H.B. Correlation Between Particulate Matter Concentrations and Meteorological Parameters at a Site In Ile-Ife, Nigeria. Ife Journal of Science, 14(1) (2012) 83-92
  • [36] Qayoom, T. (2017). Role of meteorology in control of industrial air pollution. International Research Journal of Environmental Sciences, 6(5): 46-48
  • [37] Samuel, O., and Oni, S.O. (2014). Hydrogeological Investigation for Groundwater Potentials in Ajaokuta Area, Kogi State Nigeria using Electrical Resistivity Surveys. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 1(4): 227-236
  • [38] Tokula, A.E., and Eneche, P.S.U. (2018). The Role of Urban Agriculture in the Reduction of Poverty in Ajaokuta, Kogi State, Nigeria. Ethiopian Journal of Environmental Studies and Management, 11(1): 100-110
  • [39] Ubong, I.U., Ubong, U.U., Ubong, U.E., Ukonta, R., and Ishmael, D. (2015). Distribution of Particulate Matter in Cawthorne Channels Air Basin in Nigeria. Environ. Pollut, 4, 19–26
  • [40] Ukpere, D.R.T., Clifford, A.B., Ojule, E.S.C. and Ottah, C. R. (2018). Impacts of Air Pollution in the Niger Delta Region of Nigeria IIARD International Journal of Geography and Environmental Management, 4(4), 13-22
  • [41] Vicente, A.B., Sanfeliu, T. and Jordan, M.M. (2012). Assessment of PM10 Pollution Episodes in a Ceramic Cluster (Ne Spain): Proposal of a New Quality Index for PM10, As, Cd, Ni and Pb. J Environ Manage, 15(108), 92-101
  • [42] Wang, J., Zheng, J., and Ke, Z. (2012). Assessment of PM Exposure of residents in a community downwind of a typical industrial source. Res. Environ. Sci, 25, 745–750
  • [43] Zigler, C.M., Christine Choirat, C. and Francesca Dominici, F. (2018). Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health. Epidemiology. 29(2): 1650174

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