Abstract

Abstract. Secondary organic aerosol (SOA) is an important component of fine particular matter (PM2.5). Most air quality models use an equilibrium partitioning method along with the saturation vapor pressure (SVP) of semivolatile organic compounds (SVOCs) to predict SOA formation. However, the models typically assume that the organic particulate matter (OPM) is an ideal mixture and ignore the partitioning of water vapor to OPM. In this study, the Community Multiscale Air Quality model (CMAQ) is updated to investigate the impacts of water vapor partitioning and nonideality of the organic–water mixture on SOA formation during winter (January) and summer (July) of 2013 over eastern China. The updated model treats the partitioning of water vapor molecules into OPM and uses the universal functional activity coefficient (UNIFAC) model to estimate the activity coefficients of species in the organic–water mixture. The modified model can generally capture the observed surface organic carbon (OC) with a correlation coefficient R of 0.7 and the surface organic aerosol (OA) with the mean fractional bias (MFB) and mean fractional error (MFE) of −0.28 and 0.54, respectively. SOA concentration shows significant seasonal and spatial variations, with high concentrations in the North China Plain (NCP), central China, and the Sichuan Basin (SCB) regions during winter (up to 25 µg m−3) and in the Yangtze River Delta (YRD) during summer (up to 16 µg m−3). In winter, SOA decreases slightly in the updated model, with a monthly averaged relative change of 10 %–20 % in the highly concentrated areas, mainly due to organic–water interactions. The monthly averaged concentration of SOA increases greatly in summer, by 20 %–50 % at the surface and 30 %–60 % in the whole column. The increase in SOA is mainly due to the increase in biogenic SOA in inland areas and anthropogenic SOA in coastal areas. As a result, the averaged aerosol optical depth (AOD) is increased by up to 10 %, and the cooling effect of aerosol radiative forcing (ARF) is enhanced by up to 15 % over the YRD in summer. The aerosol liquid water content associated with OPM (ALWorg) at the surface is relatively high in inland areas in winter and over the ocean in summer, with a monthly averaged concentration of 0.5–3.0 and 5–7 µg m−3, respectively. The hygroscopicity parameter κ of OA based on the κ–Köhler theory is determined using the modeled ALWorg. The correlation of κ with the O:C ratio varies significantly across different cities and seasons. Analysis of two representative cities, Jinan (in the NCP) and Nanjing (in the YRD), shows that the impacts of water partitioning and nonideality of the organic–water mixture on SOA are sensitive to temperature, relative humidity (RH), and the SVP of SVOCs. The two processes exhibit opposite impacts on SOA in eastern China. Water uptake increases SOA by up to 80 % in the organic phase, while including nonunity activity coefficients decreases SOA by up to 50 %. Our results indicate that both water partitioning into OPM and the activity coefficients of the condensed organics should be considered in simulating SOA formation from gas–particle partitioning, especially in hot and humid environments.

Highlights

  • Secondary organic aerosol (SOA) is formed via a complex interaction of volatile organic compounds (VOCs) with oxidants and primary particles emitted from anthropogenic and biogenic sources in the atmosphere

  • The Weather Research and Forecasting (WRF)–Community Multiscale Air Quality model (CMAQ) model was used to investigate the impacts of water partitioning into organic particulate matter (OPM) and nonideality of the organic–water mixture on SOA formation over eastern China during January and July of 2013

  • ALWorg is highly correlated with the change in SOA, with a ratio of ALWorg to SOA of 0.1– 0.3 and 0.2–1.0 at the surface, where significant changes in SOA occur, in winter and summer, respectively

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Summary

Introduction

Secondary organic aerosol (SOA) is formed via a complex interaction of volatile organic compounds (VOCs) with oxidants and primary particles emitted from anthropogenic and biogenic sources in the atmosphere. SOA plays an important role in new particle formation and particle growth that further contribute to the enhancement of cloud condensation nuclei (CCNs; Wiedensohler et al, 2009; Ehn et al, 2014). This will, in turn, impact the atmospheric aerosol burden, precipitation and water circulation, solar radiation budget, and climate (Ramanathan et al, 2001). It is crucial to explore and resolve this issue to improve our knowledge of the roles of SOA in the environment, human health, and climate

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