Abstract: Atmospheric area pollutant sources are estimated using Particle Swarm Optimization (PSO). The forward problem is addressed by a Lagrangian particle model to simulate the pollutant dispersion. The inverse results are compared with a previous work that used a deterministic method (quasi-Newton approach). The PSO approach produced a good identification and no regularization operator was employed, showing the robustness and efficacy of the bio-inspired algorithm.