Ozone (O<sub>3</sub>) pollution has been receiving increasing attention, but its simulation performance in models remains unsatisfactory. This study characterized the response relationship between O<sub>3</sub> and its precursors in the atmospheric relavant condition through a combination of smog chamber experiments and Master Chemical Mechanism (MCM) box model. By adding chamber wall related reaction mechanisms, the model achieved significant improvement in simulating O<sub>3</sub> with an Normalized Mean Bias (NMB) value changing from -76.1 % to -12.7 %. The enhanced model was subsequently extended to the ambient atmospheric conditions in the Daxing District of Beijing, incorporating the parameterization of ground related reactions, heterogeneous reactions of Nitrogen Dioxide (NO<sub>2</sub>), and unidentified NO<sub>2</sub> sinks. Compared to basic model, the resulting revised model demonstrated substantially enhanced accuracy in simulating ambient O<sub>3</sub> concentrations with an Normalized Mean Bias (NMB) value changing from 113.8 % to -5.2 % and enhanced O<sub>3</sub> formation sensitivity to Volatile Organic Compounds (VOCs) in Daxing District. These findings underscore that incorporating interface mediated chemical processes and accounting for unidentified NO<sub>2</sub> sinks into model is critical for determining the sensitivity of O<sub>3</sub> formation and optimizing regional O<sub>3</sub> pollution control strategies.