TY - JOUR
T1 - Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China
AU - Zheng, Haotian
AU - Song, Shaojie
AU - Sarwar, Golam
AU - Gen, Masao
AU - Wang, Shuxiao
AU - Ding, Dian
AU - Chang, Xing
AU - Zhang, Shuping
AU - Xing, Jia
AU - Sun, Yele
AU - Ji, Dongsheng
AU - Chan, Chak K.
AU - Gao, Jian
AU - McElroy, Michael B.
N1 - Funding Information:
This work was supported by National Key R&D Program of China (2018YFC0213805) and National Natural Science Foundation of China (21625701, 41675120, 41875142, 91544226). We acknowledge support from the Samsung Advanced Institute of Technology, Beijing Municipal Science and Technology Project (Z191100009119001) and the Harvard Global Institute. Dr. Shuxiao Wang acknowledges the support from the Tencent Foundation through the XPLORER PRIZE. The simulations were completed on the “Explorer 100” cluster system of Tsinghua National Laboratory for Information Science and Technology. The authors thank Douglas Worsnop, Qing Ye, and Chris Nielsen for helpful discussions. The NCAR Command Language (NCL) is used to plot figures with maps.
Publisher Copyright:
Copyright © 2020 American Chemical Society.
PY - 2020/9/8
Y1 - 2020/9/8
N2 - Nitrate and sulfate are two key components of airborne particulate matter (PM). While multiple formation mechanisms have been proposed for sulfate, current air quality models commonly underestimate its concentrations and mass fractions during northern China winter haze events. On the other hand, current models usually overestimate the mass fractions of nitrate. Very recently, laboratory studies have proposed that nitrous acid (N(III)) produced by particulate nitrate photolysis can oxidize sulfur dioxide to produce sulfate. Here, for the first time, we parametrize this heterogeneous mechanism into a state-of-the-art Community Multiscale Air Quality (CMAQ) model and quantify its contributions to sulfate formation. We find that the significance of this mechanism mainly depends on the enhancement effects (by 1-3 orders of magnitude as suggested by the available experimental studies) of the nitrate photolysis rate constant (JNO3-) in aerosol liquid water compared to that in the gas phase. Comparisons between model simulations and in situ observations in Beijing suggest that this pathway can explain from about 15% (assuming an enhancement factor (EF) of 10) to 65% (assuming EF = 100) of the model-observation gaps in sulfate concentrations during winter haze. Our study strongly calls for future research on reducing the uncertainty in EF.
AB - Nitrate and sulfate are two key components of airborne particulate matter (PM). While multiple formation mechanisms have been proposed for sulfate, current air quality models commonly underestimate its concentrations and mass fractions during northern China winter haze events. On the other hand, current models usually overestimate the mass fractions of nitrate. Very recently, laboratory studies have proposed that nitrous acid (N(III)) produced by particulate nitrate photolysis can oxidize sulfur dioxide to produce sulfate. Here, for the first time, we parametrize this heterogeneous mechanism into a state-of-the-art Community Multiscale Air Quality (CMAQ) model and quantify its contributions to sulfate formation. We find that the significance of this mechanism mainly depends on the enhancement effects (by 1-3 orders of magnitude as suggested by the available experimental studies) of the nitrate photolysis rate constant (JNO3-) in aerosol liquid water compared to that in the gas phase. Comparisons between model simulations and in situ observations in Beijing suggest that this pathway can explain from about 15% (assuming an enhancement factor (EF) of 10) to 65% (assuming EF = 100) of the model-observation gaps in sulfate concentrations during winter haze. Our study strongly calls for future research on reducing the uncertainty in EF.
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U2 - 10.1021/acs.estlett.0c00368
DO - 10.1021/acs.estlett.0c00368
M3 - Article
AN - SCOPUS:85088896030
SN - 2328-8930
VL - 7
SP - 632
EP - 638
JO - Environmental Science and Technology Letters
JF - Environmental Science and Technology Letters
IS - 9
ER -