air quality modeling

Air quality modeling is a scientific process used to estimate and predict the levels of pollutants in the air. It involves using computer simulations to analyze how various factors—like weather, traffic, and industrial activities—affect air pollution. By inputting data from monitoring stations, researchers can create models that show how pollutants disperse and change over time and space. This helps policymakers understand potential health risks, guide regulations, and plan interventions to improve air quality for communities. Ultimately, it aims to safeguard public health and the environment by providing insights into air pollution trends.