Measurements of NOx and Development of Land Use Regression Models in an East-African City

Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low- middle-income countries. Lack of both air data knowledge its spatial distribution African countries have been suggested to lead an underestimation from pollution. This study aims measure nitrogen oxides (NOx), as well dioxide (NO2), develop Land Use Regression (LUR) models the city Adama, Ethiopia. NOx NO2 was measured at 40 sites during six days wet dry seasons. Throughout city, mean levels were 29.0 µg/m3 13.1 µg/m3, respectively. The developed LUR explained 68% variances 75% NO2. Both included similar geographical predictor variables (related roads, industries, transportation administration areas) those prior models. validated by using leave-one-out cross-validation tested for autocorrelation multicollinearity. performance good, they are feasible use predict variance annual average concentrations. will be used future epidemiological impact assessment studies. Such studies may potentially support mitigation action improve public health.