Information-based Approach to PM 2.5 Estimation and Air Quality Assessment Using Statistical and Deep Learning Models

Key Points

• The aim is to estimate PM2.5 levels and assess air quality using advanced statistical and deep learning models.
• Developed models incorporating statistical and deep learning techniques
• Focused on air quality assessment in Peshawar City
• Analyzed PM2.5 concentration data relative to standards
• Documented consistently high PM2.5 levels in Peshawar City
• Showed frequent violations of air quality standards
• Demonstrated effectiveness of models in estimating particulate concentrations