Air Quality models

Air quality models are scientific tools that predict how pollutants like smog, dust, and gases disperse in the atmosphere. They use data on emissions, weather, and geography to simulate how pollutants move, change, and impact the environment and health. These models help us understand current air conditions, forecast future air quality, and develop strategies to reduce pollution. By combining complex calculations with real-world data, they provide valuable insights for policymakers, scientists, and communities aiming to improve air health and meet regulatory standards.