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Reynolds Averaged Navier–Stokes (RANS) simulations using a shear stress transport (SST) k-ω-based turbulence model with both mean flow tracking and random-walk/Lagrangian stochastic eddy interaction-models (EIMs) and large eddy simulation (LES) with Lagrangian particle tracking were used to model deposition of particles in a human nasal cavity geometry. Deposition of monodisperse particles (0.354–16μm diameter) was studied for steady inhalation flow rates, Q, ranging from 7.5 to 60L/min (through a single nasal passage) and various inlet turbulence intensities. Results show that the RANS/EIM approach tends to significantly over-predict particle deposition for small impaction parameters (d_a²Q<200) whereas “mean flow particle tracking” tends to under-predict deposition over a wide range of d_a²Q. LES particle deposition results show better agreement with in vivo data and detailed analysis shows that …