This study examined the heavy metal concentration of aerosol and its perceived impact on the health of residents of Port Harcourt Metropolis. From the study area, six locations on the Total Suspended Particulate (TSP) in the atmospheric aerosol was sampled, two sample locations in each of High Density Residential (HDR), Moderate Density Residential (MDR), and Low Density Residential (LDR). Offline aerosol measurement was carried out for seven days (a week) during wet and dry seasons. 84 aerosol samples were collected and subjected to laboratory analysis for selected heavy metals. ANOVA, T-Test, and Chi-Square analysis were used in the analysis of the data on the SPSS software. The findings indicated that there is no statistically significant variation in the concentration of the selected heavy metals across locations and the Days of the (DO) week. In the study area, there are variations in the concentration of Copper (Cu), Nickel (Ni), and Iron (Fe) in the TSPM across the seasons while there is no statistically significant seasonal variation in the concentration of Chromium (Cr) and Lead (Pb) in the study area. The distributions of every other metal in the TSP except Fe in all the sampled locations are the same. LDR and MDR are similar in relation to average concentration of Fe (ppm) while MDR and HDR are also similar belonging to the same group. In the study area as revealed by the findings further showed that there is a statistically significant difference in the perception of residents of health risk associated with TSP in the atmosphere. Conclusively, that aerosol concentration is not static but dynamic across Land use types. Hence, the study recommends the need for source identification and apportionment using receptor models in new studies.

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APA Referencing Format

Obomanu, A., Abali, T. P., & Didia, M. U. (2025). Assessment of Heavy Metal Concentration of Aerosol in Residential and Commercial Areas around Port Harcourt Metropolis, Rivers State, Nigeria. International Journal of Sustainable Technology, Environmental Sciences and Conservation (IJSTESC), 1(1), 1-9.

1. Abbas, S. A. (2009). Air pollution, particulate matter (PM2.5)-induced gene expression of volatile organic compound and/or polycyclic aromatic hydrocarbon-metabolizing enzymes in an in- vitro coculture lung model. Toxicology In-Vitro, 23, 37-46.
2. Adon, A. J. & Catherine, L. (2020). Physico-chemical characterization of urban aerosols. Atmospheric Chemistry and Physics, 5327-5354. www.atmos-chem-phys.net/20/5327.
3. Cassee, F. R., Héroux, M. E., Gerlofs-Nijland, M. E. & Kelly, F. J. (2013). Particulate matter beyond mass: recent health evidence on the role of fractions, chemical constituents and sources of emission. Inhalation Toxicology, 25, 802-812.
4. Ezeh, G. C., Imoh B. O., Olabode I. A., & Olawale E. A. (2012). PIXE characterization of PM10 and PM2.5 particulates sizes collected in Ikoyi Lagos, Nigeria. Toxicological & Environmental Chemistry, 94(5), 884-894. DOI: 10.1080/02772248.2012.674133
5. Kim, K. H., Kabir, E., & Kabir, S. (2015). A review on the human health impact of airborne particulate matter. Environment International, 74, 136-143.
6. Kumar, A., & Sarin, K. (2020). Geochemical characterization of modern aeolian dust over the northeastern Arabian Sea: Implication for dust transport in the Arabian sea. Science of the Total Environment, 729, 138576. doi:10.1016/j.scitotenv.138576
7. Lawal, O., & Asimiea, A. (2015). Spatial Modeling of Population at Risk and PM2.5 Exposure Index. A case study in Nigeria. Ethiopian Journal of Environmental Studies & Management, 8(1), 69-80.
8. Maier, K. L., Alessandrini, F., & Beck-Speier, I. (2000). Health effects of ambient particulate matter– biological mechanisms and inflammatory responses to in-vitro and in- vivo particle exposures. Inhalation Toxicology, 20, 319-337.
9. Mohr, C. (2011). Spatial variation of chemical composition and sources of submicron aerosol in Zurich during wintertime using mobile aerosol mass spectrometer data. Atmospheric Chemistry and Physics, 11, 7465-7482.
10. Pope III, C. A. (2010). Review: Epidemiological basis for particulate air pollution health standards. Aerosol Science and Technology, 32(1), 4-14.
11. Putaul, J. P. (2010). An European aerosol phenomenology-3: Physical and chemical characteristics of particulate matter from 60 rural, urban, and kerbside sites across Europe. Atmospheric Environment, 44(10), 1308-1320.
12. Ravindra, K., Sokhi, R., & Van Grieken, R. (2008). Atmospheric polycyclic aromatic hydrocarbons: Source attribution, emission factors and regulation. Atmospheric Environment (42) 2895-2921.
13. Romieu, I., Gouveia, N., Cifuentes, L.A., de Leon, A.P., Junger, W., Vera, J. & Tzintzun-Cervantes, G. (2012). Multicity study of air pollution and mortality in Latin America (the ESCALA study). Respiratory Research: Health Effects Institute, (171) 5-86.
14. Schwartz, J., Ballester, F., Saez, M., Pèrez-Hoyos, S., Pèrez-Boillos, M. J., & Sunyer, J. (1996). The concentration-response relation between air pollution and daily deaths. Environmental Health Perspectives, 109, 1001-1005.
15. Shi, Y., Ji, Y., & Sun, H. (2015.). Nanoscale characterization of PM _2.5 airborne pollutants reveals high adhesiveness and aggregation capability of soot particles. Scientific Reports, 5(3), 181-183.
16. Ukah, B. U., Ameh, P. D., Egber, J. C., Unigwe, C. O., & Ubido, O.E. (2020). Impact of effluent derived heavy metals on the groundwater quality in Ajao Industrial area, Nigeria: an assessment using entropy water quality index (EWQI). International Journal of Energy and Water Resources, 10(20), 120-138.
17. Weli, V. E., & Emenike, G. C. (2018). Atmospheric Aerosol Loading over the Urban Canopy of Port Harcourt City, Nigeria. International Journal of Environment and Pollution Research, 6(2), 38-53.
18. Zhang, X., Wang, Y., Niu, T. (2012). Atmospheric aerosol compositions in China: Spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols. Atmospheric Heavy metals concentration and Physics, (12), 779-799.