For a correct assessment of health consequences of inhaled aerosols as a function of dose, whether for environmental, occupational or therapeutic agents, knowledge of their deposition distribution in the respiratory tract and subsequent clearance is important. The objective of this study is to model particle clearance at bronchial airway bifurcation level and to analyze the combined effect of deposition and clearance. For this purpose, a numerical model has been implemented. Air and mucus flow fields were computed in a model bronchial airway bifurcation. Inhaled particles with 1 and 10 µm aerodynamic diameters were tracked to determine deposition and clearance patterns. Simulation results revealed the existence of a slow clearance zone around the peak of the airway bifurcation causing delayed clearance of the particles depositing or entering here. Particles clearing up from the deeper airways and crossing the studied bifurcation do not accumulate in this zone, because of their tendency to avoid it. The average residence time of these particles was around 20 min independently of particle size (whether it is 1 or 10 µm). However, as a result of the superposition of deposition and clearance mechanisms, the final spatial distribution of particles deposited primarily in the target bifurcation is size dependent, because deposition is size specific. Although deposition density of particles deposited in the slow clearance area is one-two orders of magnitude higher than the average deposition density, these values are reduced by clearance by the factors of 4-7, depending on the particle size and the surface area of the selected slow clearance zone. In conclusion, although particle deposition is inhomogeneous, clearance can significantly decrease the degree of spatial non-uniformity of the particles. Therefore, for a correct assessment of doses at local levels, it is important to consider both deposition and clearance. Although future research may overwrite some of the model assumptions on the nature of mucus, the authors think that most of the current predictions will hold.