Speaker
Description
This study examines how concentrations of six key air pollutants (PM₂.₅, PM₁₀, NO₂, SO₂, CO, and O₃) and their temporal variation and how they influence the Air Quality Index (AQI) across Delhi. Daily measurements of these pollutants from 2021 to 2024 were analyzed to capture seasonal, monthly and weekly variations. Visualization techniques such as time-series graphs, boxplots, and correlation matrices were applied to identify pollutant-specific behaviors. The analysis shows that PM₂.₅ and PM₁₀ have the most significant impact on AQI, with elevated levels during winter, while ozone concentrations peak in the summer. Weekly trends suggest pollutant levels are generally higher on weekdays than weekends. The outcomes provide a data-driven foundation for developing focused air quality management policies in Delhi.
