Analyzing Environmental Health: Air Pollution and Human Health Using Geospatial Data Science

Air pollution from industrial emissions and wildfire smoke poses growing threats to public health. This dissertation employs geospatial data science to examine these challenges through three interrelated studies. The first study investigates the relationship between maternal residential exposure to industrial pollutants and low birth weight, identifying five chemicals as significant risk factors. The second study assesses the impact of industrial air pollution on lung and bronchus cancer survival, finding that exposure to 1,1,1-trichloroethane and cobalt is associated with reduced survival. The third study explores disparities in wildfire smoke PM2.5 exposure and its association with asthma exacerbations. Results show disparities of exposure to wildfire smoke among different subgroups, and significant relationships were observed between exposure to wildfire smoke and asthma exacerbation. Collectively, these findings underscore the urgent need for improved exposure assessment, targeted public health strategies, and promote equity in the face of industrial development and wildfire events.