Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2

Abstract. This paper presents the first development and evaluation of a reduced-complexity air quality model for China. In this study, Intervention Model Air Pollution over China (InMAP-China) is developed by linking regional model, an emission inventory database China, health impact assessment to rapidly estimate impacts sources in The modeling system applied mainland 2017 under various scenarios. A comprehensive conducted comparison against conventional Community Multiscale Quality (CMAQ) simulations ground-based observations. We found that InMAP-China satisfactorily predicted total PM2.5 concentrations terms statistical performance. Compared with observed concentrations, mean bias (MB), normalized (NMB) correlations are ?8.1 µg m?3, ?18 % 0.6, respectively. performance considered be satisfactory remains consistent evaluated USA. underestimation was mainly caused its composition, primary PM2.5. ability quantify source contributions similar results those based on CMAQ variation different treatment secondary inorganic aerosols two models. Focusing impacts, annual PM2.5-related premature mortality estimated using 1.92 million, which 250 000 deaths lower than as result concentrations. work version provides powerful tool assess associated control policy contribution attributable many sources.