Abstract

Abstract. Fine-particle pollution associated with haze threatens human health, especially in the North China Plain region, where extremely high PM2.5 concentrations are frequently observed during winter. In this study, the Weather Research and Forecasting with Chemistry (WRF-Chem) model coupled with an improved integrated process analysis scheme was used to investigate the formation and evolution mechanisms of a haze event over the Beijing–Tianjin–Hebei (BTH) region in December 2015; this included an examination of the contributions of local emissions and regional transport to the PM2.5 concentration in the BTH area, and the contributions of each detailed physical or chemical process to the variations in the PM2.5 concentration. The mechanisms influencing aerosol radiative forcing (including aerosol direct and indirect effects) were also examined by using process analysis. During the aerosol accumulation stage (16–22 December, Stage 1), the near-surface PM2.5 concentration in the BTH region increased from 24.2 to 289.8 µg m−3, with the contributions of regional transport increasing from 12 % to 40 %, while the contribution of local emissions decreased from 59 % to 38 %. During the aerosol dispersion stage (23–27 December, Stage 2), the average concentration of PM2.5 was 107.9 µg m−3, which was contributed by local emissions (51 %) and regional transport (24 %). The 24 h change (23:00 minus 00:00 LST) in the near-surface PM2.5 concentration was +43.9 µg m−3 during Stage 1 and −41.5 µg m−3 during Stage 2. The contributions of aerosol chemistry, advection, and vertical mixing to the 24 h change were +29.6 (+17.9) µg m−3, −71.8 (−103.6) µg m−3, and −177.3 (−221.6) µg m−3 during Stage 1 (Stage 2), respectively. Small differences in the contributions of other processes were found between Stage 1 and Stage 2. Therefore, the PM2.5 increase over the BTH region during the haze formation stage was mainly attributed to strong production by the aerosol chemistry process and weak removal by the advection and vertical mixing processes. When aerosol radiative feedback was considered, the 24 h PM2.5 increase was enhanced by 4.8 µg m−3 during Stage 1, which could be mainly attributed to the contributions of the vertical mixing process (+22.5 µg m−3), the advection process (−19.6 µg m−3), and the aerosol chemistry process (+1.2 µg m−3). The restrained vertical mixing was the primary reason for the enhancement in the near-surface PM2.5 increase when aerosol radiative forcing was considered.

Highlights

  • Anthropogenic activities associated with rapid industrialization and urbanization have been leading to a sustained increase in the amounts of atmospheric pollutants, especially in quickly developing countries (IPCC, 2013)

  • We developed an improved integrated process rate (IPR) analysis scheme in the WRF-Chem model to isolate the processes impacting variations in aerosol concentrations into nine different processes, namely advection (TRAN), emission source (EMIS), dry deposition (DYRD), turbulent diffusion (DIFF), sub-grid convection (SGCV), gas-phase chemistry (GASC), cloud chemistry (CLDC), aerosol chemistry (AERC), and wet scavenging (WETP)

  • An online coupled mesoscale meteorology– chemistry model (WRF-Chem) with an improved integrated process rate (IPR) analysis scheme was applied to investigate the formation and evolution mechanisms of a severe haze episode that occurred in the BTH region from 16 to 29 December 2015

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Summary

Introduction

Anthropogenic activities associated with rapid industrialization and urbanization have been leading to a sustained increase in the amounts of atmospheric pollutants, especially in quickly developing countries (IPCC, 2013). It is well known that aerosols can scatter and absorb solar radiation to alter the radiative balance of the atmosphere and surface (direct radiative effect), and can serve as cloud condensation nuclei or ice nuclei to affect cloud properties (indirect radiative effect) (Twomey, 1974) These impacts are coupled with atmospheric dynamics to produce a chain of interactions with a large range of meteorological variables that influence both weather and climate (Ramanathan et al, 2001; Huang et al, 2006; Li et al, 2017a; Yang et al, 2017), which will further induce feedbacks on aerosol production, accumulation, and even severe haze pollution (Petaja et al, 2016; Li et al, 2017b; Zhao et al, 2017; Gao et al, 2018; Lou et al, 2019). We develop an improved online integrated process rate (IPR) analysis scheme (i.e., process analysis) in the fully coupled online Weather Research and Forecasting with Chemistry (WRF-Chem) model, to investigate the formation and evolution mechanisms of the severe haze episode that occurred over the NCP from 16 to 29 December 2015.

Model configuration
Numerical experiments
Observational data
Model evaluation
Meteorological parameters
Formation and evolution mechanisms of the haze episode
Influence mechanism of aerosol radiative effects
Findings
Conclusions and discussions
Full Text
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