Computationally Efficient Pollutant Dispersion Calculation

Since it is a crucial component of most environmental impact assessments, air dispersion modelling has emerged as one of the most important methods in the study of air quality. Almost all human activities and natural processes result in air pollution of some kind. An effective method to determine whether a source causes a problem is air dispersion modelling. The Gaussian Plume Model and the Stochastic Lagrangian Particle Model are the two models that will be taken into consideration. The first model assumes that the pollution is being released continuously from the source. The concentration profile of the plume will be Gaussian in both the lateral and vertical directions. 
The second model presupposes that every source emits a sizable number of particles, each travel in a random direction around the mean wind vector. The number of particles in a particular volume of air is counted to estimate the pollutant concentration. These models will be expanded to incorporate diverse source types, deposition processes, and reflection processes in alpine regions in order to forecast a concentration profile. Along with the theory, the pollutant models' implementation, which is done in R, C, and CUDA, is developed.