👉 Pollution math involves quantifying the impact of pollutants on the environment, often using mathematical models to predict and manage pollution levels. For instance, when calculating air pollution, scientists use dispersion models that take into account factors like wind speed, temperature inversions, and emission rates to estimate how pollutants spread. These models can predict concentrations of pollutants like PM2.5 or NO2 over time and space, helping policymakers set emission limits and design effective mitigation strategies. Similarly, water pollution models assess the dilution and transport of contaminants in rivers or oceans, factoring in flow rates, pollutant degradation rates, and receptor sensitivity. By applying these mathematical tools, we can better understand pollution dynamics, forecast future impacts, and implement targeted interventions to protect ecosystems and public health.
