Abstract
In Uso Metropolis, Aka Ibom Slate, Nigeria by focusing on spatial and temporal variations
measurements and meieorological data (relative humidity, atmosphere pressure, wind speed, wind direction. and temperature) were collected at 19 selected road locations. CO iuo-sampler, with geographic coordinates recorded via GPS for spatial accuracy. Data Analysis volved descriptive statistics, multiple regression anafsste and Anabis of Variance (ANOVA) The results showed that traffic volume and road width positively correlate with CO Concentration, with Resquared values of 0.84 at 2m and 0.63 «at Sm. ANOVA indicated significant differences in CO Tevels across differen time periods (p = 0.001), with morning Deak levels being the highest. Spatial analysis using Empirical Bayesian Krising (EBK) revealed that CO concentrations were highest along major roads, particularly near intersections with heavy congestion. Findings confirm that traffc-related wartables significantly influence CO pollution levels. posing potential health risks due to protonged exposure. The study recommends adaptive traffic management sirategies, improved public transit options, and GlS-based monitoring ils to mitigate polation and enhance urban air development and protecting public health.
Keywords: Carbon monoxide pollution, traffic volume, spatial analysis, air quality,
Geographic Information Systems (GIS).