Comprehensive Air Quality Index Assessment Incorporating NO2, PM2.5, PM10, and O3 in Ondo State, Nigeria

Akinyinka Akinnusotu (Department of Science and Laboratory Technology, Rufus Giwa Polytechnic, Owo, Ondo State, Nigeria)
Francis Olawale Abulude (Environmental and Sustainable Research Group (ESRG), Science and Education Development Institute, Akure, Ondo State, Nigeria)
Ebenezer Alaba Adeoya (Engineering Materials Development Institute, National Agency for Science and Engineering Infrastructure, Akure, Ondo State, Nigeria)
Oluwole Olumide Adeyemi (Engineering Materials Development Institute, National Agency for Science and Engineering Infrastructure, Akure, Ondo State, Nigeria)
Sikirat Bidemi Jiddah-Kazeem (Engineering Materials Development Institute, National Agency for Science and Engineering Infrastructure, Akure, Ondo State, Nigeria)
Kikelomo Mabinuola Arifalo (Department of Chemical Sciences, Bamidele Olomilua University of Education, Science, and Technology, Ikere-Ekiti, Ekiti State, Nigeria)
Emmanuel Awogbindin (Department of Computer Science, Bamidele Olomilua University of Education, Science, and Technology, Ikere-Ekiti, Ekiti State, Nigeria)
Acha Sunday (Department of Geography, Federal University of Technology, Minna, Niger State, Nigeria)

GEA, Jurnal Pendidikan Geografi
Vol 23, No 2 (2023)

This study conducted in Ondo State, Nigeria, employs an Air Quality Index (AQI) to evaluate the air quality in nine communities, focusing on pollutants like ozone (O3), nitrogen dioxide (NO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10). The study stands out due to its comprehensive examination of various pollutants and their combined impact on air quality. Satellite data from IQAir's AirVisual website was utilized to track pollution levels across these areas over six months. This data was then used to establish daily AQI values, offering a unified measure to assess air quality and related health risk. The AQI provides a holistic understanding of air quality in Ondo State, aiding in better evaluation of circumstances and potential health consequences. The research highlighted considerable air quality discrepancies across different locations, identifying PM2.5 and NO2 contributors poor air quality. These findings serve a reference for future monitoring and  formulation