COMPARATIVE ASSESSMENT OF PARTICULATE MATTER USING LOW COST SENSOR: A CASE STUDY OF ABUJA AND KANO, NIGERIA

  • N. O. Meseke
  • D. O. Akpootu
  • O. A. Falaiye
  • T. V. Targema
Keywords: Air Quality Index (AQI), Correlation coefficient, Kurtosis, Particulate Matter (PM), Purple Air, Skewness

Abstract

Inhaling excessive amounts of Particulate Matter (PM) which can be blown over great distances by the wind and then settle in the ground, water, or in the air we breathe, can be hazardous to both sensitive and non-sensitive persons. The study investigates the mass concentration of particulate matter (PM) in Kano and Abuja. Utilizing a purple air sensor, PM1.0, PM2.5, and PM10.0 were all examined along with some climatic variables including temperature and relative humidity. In Kano and Abuja, monitoring took place between January 2021 and December 2021. Results indicate that the monthly PM exceeds the WHO 24-hour limit for the two locations. When the standard limit of the Air Quality Index (AQI) is taken into consideration, the mean value of PM2.5 shows that the air quality in both locations is dangerous for sensitive persons, such as those who have respiratory ailments while the mean value of PM10.0 shows that the air quality in both locations was moderate for both sensitive and non- sensitive person. The results in this study suggests that government should enhance its current air quality regulations and install new air quality sensors in sufficient locations in Nigeria so that additional research may be done on such regions. The results of a Pearson correlation analysis show that PMs and relative humidity have substantial negative correlations indicating that as relative humidity rises in either locations, PMs mass concentration would decrease as well. A relatively high correlation existed between PMs and temperature for both locations.

References

Abulude, O.F. and Abulude, A.I. (2021). Monitoring Air Quality in Nigeria: The Case of Center for Atmospheric Research National Space Research and Development Agency (CAR NASRDA). Aerosol Science and Engineering https://doi.org/10.1007/s41810-021-00116-3

Adams, K., Greenbaum, D. S., Shaikh, R.,van Erp, A. M. and Russell, A.G. (2015). Particulate matter components, sources, and health: Systematic approaches to testing effects, Journal of the Air & Waste Management Association, 65:5, 544-558, DOI: 10.1080/10962247.2014.1001884

Ahmed, Y.A., Aderonke, M. and Oyewo, S.O. (2017). Health Impact of Leachates from Illegal Dumpsites: Case Study Of Kubwa Abuja, Nigeria. Ethiopian Journal of Environmental Studies & Management 10(1): 125 – 136, ISSN: 1998-0507 doi: http://dx.doi.org/10.4314/ejesm.v10i1.12

Akinfolarin, O.M., Boisa, N. and Obunwo, C.C. (2017). Assessment of particulate matter-based air quality index in Port Harcourt Nigeria.J Environ Anal Chem 4:224. https://doi.org/10.4172/2380-2391.1000224

Akpan, I.O. and William, E.S. (2014). Assessment of Elemental Concentrations of Road DOI: 10.4236/gep.2020.811007 136 Journal of Geoscience and Environment Protection side Soils in Relation to Traffic Density in Calabar, Nigeria. International Journal of Scientific and Technology Research, 3, 3-10

Akpootu, D.O. and Iliyasu, M.I. (2017). A comparison of various Evapotranspiration models for estimating reference Evapotranspiration in Sokoto, North Western, Nigeria. Physical science International Journal.,14(2),1-14. DOI:10.9734/PSIJ/2017/32720

Akpootu, D.O., Iliyasu, M.I., Mustapha, W., Aruna, S. and Yusuf, S.O. (2017). Developing Regression Models for estimating Atmospheric Visibility over Ikeja, Nigeria. Journal of Scientific Research & Reports.,15(6):1-14.DOI:10.9734/JSRR/2017/36670.

Akpootu, D.O., Iliyasu, M.I., Abubakar, M.B., Rabiu, A.M., Mustaspha, W., Okany, C.F. and Salifu, S.I. (2019a). Developing Empirical models for estimating photosynthetically active radiation over Akure, South Western, Nigeria. International Journals of Advances in Scientific research and engineering (ijasre).,5(10): 59-79. DOI:10.31695/IJASRE.2019.33546

Akpootu, D.O.,Tijjani, B.I. and Gana, U.M. (2019b). A Comparative study of Time Series, Empirical Orthogonal Transformation and Descriptive Statistical Analysis on Meteorological Parameters over Ogoja and Maiduguri. Journal of Energy Research and Reviews., 3(1): 1-14 DOI: 10.9734/JENRR/2019/v3i130088

Aliero, M.M., Ismail, M.H., Alias, A.M. and Sood, M.A. (2017). Evaluation of Land Cover Change and Vegetation Dynamics Using Remote Sensing and DPSIR Frame work in Kebbi State, Nigeria. http://dx.doi.org/10.20944/preprints201709.0090.v1

Amato, F., Favez, O., Pandolfi, M., Alastuey, A., Querol, X., Moukhtar, S., Bruge, B., Verlhac, S., Orza, J.A.G., Bonnaire, N., Le Priolet, T., Petit, J.-F. and Sciare, J. (2016). Traffic Induced Particle Resuspension in Paris: Emission Factors and Source Contributions. Atmospheric Environment, 129, 114-124.

https://doi.org/10.1016/j.atmosenv.2016.01.022

Ardon-Dryer, K., Dryer, Y., Williams, J. N. and Moghimi, N. (2020). Measurements of PM 2.5 with purpleair under atmospheric conditions. Atmospheric Measurement Techniques, 13(10), 5441–5458.

Awokola, B.I., Okello, G., Mortimer, K.J., Jewell, C.P., Erhart, A. and Semple, S. (2020). Measuring Air Quality for Advocacy in Africa (MA3):Feasibility and Practicality of Longitudinal Ambient PM2.5 Measurement Using Low-Cost Sensors. International Journal of Environmental Research and Public Health Article

Published
2022-09-03
How to Cite
MesekeN. O., AkpootuD. O., FalaiyeO. A., & TargemaT. V. (2022). COMPARATIVE ASSESSMENT OF PARTICULATE MATTER USING LOW COST SENSOR: A CASE STUDY OF ABUJA AND KANO, NIGERIA. FUDMA JOURNAL OF SCIENCES, 6(4), 203 - 211. https://doi.org/10.33003/fjs-2022-0604-1066