Abstract:
The issue of poor air quality in Sri Lanka is a pressing concern for public health and the environment. To address this issue, a novel methodology for vehicle emissions modeling is developed, focusing on identifying sources and effects of emissions through comprehensive data analysis. The methodology involves collecting emission data from vehicle emission test companies, and transforming it into annual datasets for analysis. The R language is used to facilitate the analysis, enabling advanced statistical methods like descriptive statistics and correlation analysis. Data visualization tools are employed to present insights clearly and comprehensively. The study aims to contribute to the existing body of knowledge by introducing a novel approach to vehicle emissions modeling in Sri Lanka, highlighting unique aspects of the methodology and new data sources. The findings will serve as the foundation for policy recommendations to effectively manage emissions, impacting Sri Lanka's environmental policies and air quality management strategies.
