• Lawal Joseph
  Nigerian College of Aviation Technology Zaria, Kuaduna State, Nigeria
  




• A. A. Tyovenda
  Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria
  




• T. Igbawua
  Joseph Sarwuan Tarka University Makurdi, Benue State, Nigeria
  

Industrial air pollution remains a major environmental and public rnhealth concern in rapidly urbanizing Nigerian cities. This study rnapplied the Gaussian Plume Model (GPM) to estimate pollutant rndispersion from selected industrial stacks in Kaduna metropolis. rnEmission data for particulate matter (PM₂.₅, PM₁₀, TSP) and gaseous rnpollutants (CO, SO₂, NO₂, H₂S) were obtained and modeled under rndifferent atmospheric stability classes (A–F). The results showed that rnparticulate pollutants dominated industrial emissions, with groundrnlevel concentrations strongly influenced by stability conditions. rnUnder unstable conditions, pollutants dispersed widely with low rnground concentrations, whereas under stable conditions, they rnaccumulated near emission sources, resulting in high localized rnexposure. Model validation using RMSE confirmed strong agreement rnbetween predicted and observed concentrations. The findings rnemphasize the need for stricter particulate control, integration of rnmeteorological forecasts in air quality management, and the rnapplication of dispersion modelling as a regulatory tool in Nigeria.