Evaluation of Atmospheric PM10 in the Southwest Region of Nigeria

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Mohammed Mohammed Ndamitso
Yahaya Ahmed Iyaka
Aishat Abdulkadir
Francis Olawale Abulude*

Abstract

Particulate matter (PM), according to World Health Organization (WHO), has caused several millions of deaths, and both the young and old have been affected. To mitigate this problem, the compositions of the elements that make up the PM and their sources must be determined. These can provide the necessary information needed by stakeholders to work on. To this end, the study determined the mass concentrations of the PM10 obtained from the Federal University of Technology, Akure (FUTA), National Museum and Monuments and Oba-Ile; for a period of ten months (January-October). A total of thirty samples was collected. The PM concentration was calculated gravimetrically and the data were subjected to statistical analyses. The results for PM in µg/m3 were: FUTA (39.10±0.31-133.22±0.21), Museum (49.71±0.11-196.70±0.01), and Oba-Ile (34.50±0.31-161.30±0.42). The results were well above the WHO standard limits. Air Quality Index (AQI) was calculated for each location, and the results for the air quality in Akure showed that the locations were unhealthy for sensitive groups.


 


Keywords: particulate matter; AQI; anthropogenic activities; WHO; Akure; Nigeria


*Corresponding author: Tel: +2348034458674


                                            Email: [email protected]

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References

[1] Zhang, J., Cheng, M., Ji, D., Liu, Z., Hu, B., Sun, Y. and Wang, Y.S., 2016. Characterization of submicron particles during biomass burning and coal combustion periods in Beijing, China. Science and Total Environment, 562, 812-821.
[2] Tuankrua, V., Tongdeenog, P., Tangtham, N., Aungsuratana, P. and Witthawatchuetikul, P., 2014. Assessment of aerosol-cloud-rainfall interactions in Northern Thailand. Proceedings of the International Academy of Ecology and Environmental Sciences, 4(4), 134-147.
[3] Zhao, L., Hu, G., Yan, Y., Yu, J., Wang, X.and Yan, Y., 2019. Source apportionment of heavy metals in urban road dust in a continental city of eastern China: Using Pb and Sr isotopes combined with multivariate statistical analysis. Atmospheric Environment, 201, 201-211.
[4] Ndamitso, M.M., Abdulkadir, A. and Abulude, F.O. 2016. Source apportionment: Case studies of selected African countries. International Journal of Advancements in Research and Technology, 5(3), 1-25.
[5] Wang, Q., Kwan, M., Zhou, K., Fan, J., Wang, Y. and Zhang, D., 2019. The impacts of urbanization on fine particulate matter (PM2.5) concentrations: Empirical evidence from 135 countries worldwide. Environmental Pollution, 247, 989-998.
[6] Latif, M.T., Azmi, S.Z., Noor, A.D.M., Ismail, A.S., Johny, Z., Idris, S., Mohamed, A.F. and Mokhtar, M., 2011. The impact of urban growth on regional air quality surrounding the Langat river basin, Malaysia. Environmentalist, 31, 315-324.
[7] WHO, 2012. World Health Report-Reducing Risk, Promoting a Healthy Life. Geneva: World Health Organization.
[8] Yun, G., He, Y., Jiang, Y., Dou, P. and Dai, S., 2019. PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015. Atmosphere, 10, 55, https://doi. org/10.3390/atmos10020055.
[9] Ilyas, S.Z., Khattak, A.I., Nasir S.M., Qurashi T. and Durrani R., 2009. Air pollution assessment in urban areas and its impact on human health in the city of Quetta, Pakistan. Clean Technologies and Environmental Policy,12(3), 291-299.
[10] Harrison, R.M. and Yin, J., 2008. Sources and processes affecting carbonaceous aerosol in central England. Atmospheric Environment, 42, 1413-1423.
[11] Farao, C., Caneparis, S., Perrino, C. and Harrison, R.M., 2014. Sources of PM in an industrial area: Comparison between receptor model results and semi empirical calculations of source contributions. Aerosol and Air Quality Research, 14, 1558-1572.
[12] Schweizer, D., Cisneros, R. and Buhler, M., 2019. Coarse and fine particulate matter components of wildland fire smoke at Devils Postpile National Monument, California, USA. Aerosol and Air Quality Research, 19, 1463-1470.
[13] Arnfield, A.J., 2003. Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1-26.
[14] Balogun, I.A., Adeyewa, D.Z., Balogun, A.A. and Morakinyo, T.E., 2011. Analysis of urban expansion and land use changes in Akure, Nigeria using RS and GIS techniques. Journal of Geography and Regional Planning, 4(9), 533-541.
[15] Owoeye, J.O. and Ibitoye, O.A., 2016. Analysis of Akure Urban land use change detection from remote imagery perspective. Urban Studies Research, 2016, http://dx.doi.org/10.1155/ 2016/4673019
[16] National Population Commission (NPC). 2006. The 1963, 1991 and 2006 Population Census Reports. Abuja: National Population Commission.
[17] Osimobi, O.J., Yorkor, B. and Nwankwo, C.A., 2019. Evaluation of daily pollutant standard index and air quality index in a university campus in Nigeria using PM10 and PM2.5 particulate matter. Journal of Science, Technology and Environment Informatics, 7(2), 517-532.
[18] Wang, L., Li, W., Sun, Y., Tao, M., Xin, J., Song, T., Li, X., Zhang, N., Ying, K. and Wang, Y., 2018. PM2.5 characteristics and regional transport contribution in five cities in Southern North China Plain, during 2013-2015. Atmosphere, 9(157), https://doi.org/10.3390/atmos 9040157
[19] Jia, M., Zhao, T., Cheng, X., Gong, S., Zhang, X., Tang, L., Liu, D., Wu, X., Wang, L. and Chen Y., 2017. Inverse relations of PM2.5 and O3 in air compound pollution between cold and hot seasons over an urban area of east China. Atmosphere, 8(3), 59, https://doi.org/10.3390/ atmos8030059
[20] Abulude, F.O., Ndamitso, M.M., Iyaka, Y.A. and Abdulkadir, A., 2018. Study of particulate matter of Akure, Nigeria using a sharp-cut inertial filter combined with an impactor-a preliminary study. Journal of Atmospheric and Solar-Terrestrial Physics, 179, 396-404.
[21] Liu, H., Scneider, P., Haugen, R. and Vogt, M., 2019. Performance assessment of a low-cost PM2.5 sensor for a near four-month period in Oslo, Norway. Atmosphere, 10(41), https:// doi.org/10.3390/atmos10020041
[22] US. EPA, 2009. Patient Exposure and the Air Quality Index. Particle Pollution and Your Patients' Health. [online] Available at: https://www.epa.gov/pmcourse/patient-exposure-and-air-quality-index#what
[23] CPCB, 2008. Stationary Sources Emission Profiles. Central Pollution Control Board, New Delhi, India. [online] Available at: http://cpcb.nic.in/Stationary_Sources_Emission_ Profiles.xls.
[24] EEA (European Environment Agency), 2014. Air Quality in Europe-2014 Report. Copenhagen: European Environment Agency.
[25] Greilinger, M., Zbira, J., and Kasper-Giebl, A., 2019. Desert dust contribution to PM10 loads in Styria (Southern Austria) and impact on exceedance of limit values from 2013-2018. Applied Sciences, 9(11), 2265, https://doi.org/10.3390/app9112265
[26] Mehta, U., 2020. Statistical analysis of suspended and respirable suspended particulate matter (PM10 and PM2.5) concentrations in urban region of Ahmedabad, India. International Journal of Science and Research, 9(2), 605 – 609.
[27] Abe, K.C. and Miraglia, S.G.E.K. 2016. Health impact assessment of air pollution in São Paulo, Brazil. International Journal of Environmental Research and Public Health, 13(7), 694, https://doi.org/10.3390/ijerph13070694
[28] Contini, D., Cesari, D., Donateo, A., Chirizzi, D. and Belosi, F., 2014. Characterization of PM10 and PM2.5 and their metals content in different typologies of sites in South-Eastern Italy. Atmosphere, 5(2), 435-453.
[29] Mandal, P., Saud, T., Sarkar, R., Mandal, A., Sharma, S.K., Mandal, T.K. and Bassin, J.K., 2014. High seasonal variation of atmospheric C and particle concentrations in Delhi, India. Environmental Chemistry Letters, 12(1), 225-230.
[30] Jain, S., Sharma, S.K., Mandal, T.K. and Saxena. M., 2018. Source apportionment of PM10 in Delhi, India using PCA/APCS, UNMIX, and PMF. Particuology, 37, 107-118.
[31] Kulashrestha, A., Massey, D.D., Masih, J. and Taneja, A., 2014. Source characterization of trace elements in an indoor environment at urban, rural and wayside sites in a semi-arid region of India. Aerosol and Air Quality Research, 14, 1738-1751.