资源环境科技发展态势分析平台

An online coupled regional climate–chemistry–aerosol model (RIEMS-Chem) was developed and utilized to investigate the mechanisms of haze formation and evolution and aerosol radiative feedback during winter haze episodes in February–March 2014 over the Beijing-Tianjin-Hebei (BTH) region in China. Model comparison against a variety of observations demonstrated a good ability of RIEMS-Chem in reproducing meteorological variables, planetary boundary layer (PBL) heights, PM_2.5, and its chemical components, as well as aerosol optical properties. The model performances were remarkably improved for both meteorology and chemistry by taking aerosol radiative feedback into account. The domain-average aerosol radiative effects (AREs) were estimated to be −57 W m⁻² at the surface, 25 W m⁻² in the atmosphere, and −32 W m⁻² at the top of atmosphere (TOA) during a severe haze episode (20–26 February), with the maximum hourly surface ARE reaching −384 W m⁻² in southern Hebei province. The average feedback-induced changes in 2 m air temperature (T2), 10 m wind speed (WS10), 2 m relative humidity (RH2), and PBL height over the BTH region during the haze episode were −1.8 ^∘C, −0.5 m s⁻¹, 10.0 %, and −184 m, respectively. The BTH average changes in PM_2.5 concentration due to the feedback were estimated to be 20.0 µg m⁻³ (29 %) and 45.1 µg m⁻³ (39 %) for the entire period and the severe haze episode, respectively, which demonstrated a significant impact of aerosol radiative feedback on haze formation. The relative changes in secondary aerosols were larger than those in primary aerosols due to enhanced chemical reactions by aerosol feedback. The feedback-induced absolute change in PM_2.5 concentrations was largest in the haze persistence stage, followed by those in the growth stage and dissipating stage. Process analyses on haze events in Beijing revealed that local emission, chemical reaction, and regional transport mainly contributed to haze formation in the growth stage, whereas vertical processes (diffusion, advection, and dry deposition) were major processes for PM_2.5 removals. Chemical processes and local emissions dominated the increase in PM_2.5 concentrations during the severe haze episode, whereas horizontal advection contributed to the PM_2.5 increase with a similar magnitude to local emissions and chemical processes during a moderate haze episode on 1–4 March. The contributions from physical and chemical processes to the feedback-induced changes in PM_2.5 and its major components were explored and quantified through process analyses. For the severe haze episode, the increase in the change rate of PM_2.5 (9.5 µg m⁻³ h⁻¹) induced by the feedback in the growth stage was attributed to the larger contribution from chemical processes (7.3 µg m⁻³ h⁻¹) than that from physical processes (2.2 µg m⁻³ h⁻¹), whereas, during the moderate haze episode, the increase in the PM_2.5 change rate (2.4 µg m⁻³ h⁻¹) in the growth stage was contributed more significantly by physical processes (1.4 µg m⁻³ h⁻¹) than by chemical processes (1.0 µg m⁻³ h⁻¹). In general, the aerosol–radiation feedback increased the accumulation rate of aerosols in the growth stage through weakening vertical diffusion, promoting chemical reactions, and/or enhancing horizontal advection. It enhanced the removal rate through increasing vertical diffusion and vertical advection in the dissipation stage, and had little effect on the change rate of PM_2.5 in the persistence stage.