This study presents a computational model for passive particle transport in water. The particles' trajectories depend on advection and turbulence, represented by a random-walk model. Three numerical methods are compared to estimate their trajectory, evaluating accuracy and computational cost. Tests show that the Euler method offers the best balance. Finally, a rainfall event in a catchment is simulated to validate the model's performance over irregular terrain.