Abstract
This study analyzed the level and temporal variations of the air pollutants with the prevailing meteorological variables using four months dataset (April 4-July, 2022) in Osogbo, Nigeria. Multiple Linear Regression was employed to assess the relationships while Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) was adopted to identify pollutants transport path. The results revealed that PM2.5 levels exceeded the national and international standards of and, respectively due to strong anthropogenic influences, while Ozone, CO and CH4 showed two distinct diurnal peaks linked to traffic emissions. Also, air pollutants had weak correlations ranging from − 0.34 to 0.39 with meteorological variables and evidence from trajectory analysis highlighted both local and transboundary pollution sources, underscoring the need for seasonally tailored mitigation strategies.
| Original language | English (US) |
|---|---|
| Article number | 195 |
| Journal | Discover Applied Sciences |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2026 |
All Science Journal Classification (ASJC) codes
- General Chemical Engineering
- General Materials Science
- General Environmental Science
- General Engineering
- General Physics and Astronomy
- General Earth and Planetary Sciences
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