Study of Coupling Receptor to Dispersion Models with a Genetic Algorithm

The paper introduce coupling receptor to dispersion models using a genetic algorithm. The receptor model is based on the nested source apportionment technique and the dispersion model is a basic Gaussian puff model. Coupling process is continuing through the iterative with a genetic algorithm allows to minimize the residual, which obtained the optimal solution. It expatiate the feasibility of coupling the two models with a genetic algorithm. The technique described here could prove useful for apportioning monitored pollutant to its sources, calibrating dispersion models, source position identification, monitor sitting, and estimating total uncertainty. It will be helpful to reinforce safety management and prevents pollutant leakage of the chemical plant.