Articles | Volume 23, issue 24
https://doi.org/10.5194/acp-23-15455-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-15455-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
HONO chemistry at a suburban site during the EXPLORE-YRD campaign in 2018: formation mechanisms and impacts on O3 production
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
School of Environmental Science and Engineering, Tiangong University, Tianjin 300387, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Xuefei Ma
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Wanyi Qiu
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Shule Li
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Xinping Yang
State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
Chaoyang Xue
Max Planck Institute for Chemistry, Mainz 55128, Germany
Tianyu Zhai
State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
Yuhan Liu
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Xuan Li
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Yang Li
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Haichao Wang
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Zhaofeng Tan
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Xiaorui Chen
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Huabin Dong
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Limin Zeng
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
Yuanhang Zhang
CORRESPONDING AUTHOR
State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
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Cited
10 citations as recorded by crossref.
- Concentration and source changes of nitrous acid (HONO) during the COVID-19 lockdown in Beijing Y. Zhang et al. 10.5194/acp-24-8569-2024
- HONO chemistry and its impact on the atmospheric oxidizing capacity over the Indo-Gangetic Plain P. Pawar et al. 10.1016/j.scitotenv.2024.174604
- Explainable Machine Learning Reveals the Unknown Sources of Atmospheric HONO during COVID-19 Z. Gao et al. 10.1021/acsestair.4c00087
- Machine Learning Integrated PMF Model Reveals Influencing Factors of Ozone Pollution in a Coal Chemical Industry City at the Jiangsu-Shandong-Henan-Anhui Boundary C. Wang et al. 10.1016/j.atmosenv.2024.120916
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- Relative humidity driven nocturnal HONO formation mechanism in autumn haze events of Beijing H. Xuan et al. 10.1038/s41612-024-00745-8
- Radical chemistry and VOCs-NOx-O3-nitrate sensitivity in the polluted atmosphere of a suburban site in the North China Plain Y. Li et al. 10.1016/j.scitotenv.2024.174405
- Excited-State Decay and Photolysis of O-Nitrophenol after Proton Transfer. II: A Theoretical Investigation in the Microsolvated Atmospheric Environment B. Yin et al. 10.1021/acs.jpca.4c04892
- Additional HONO and OH Generation from Photoexcited Phenyl Organic Nitrates in the Photoreaction of Aromatics and NOx T. Chen et al. 10.1021/acs.est.3c10193
- Accurately Predicting Spatiotemporal Variations of Near-Surface Nitrous Acid (HONO) Based on a Deep Learning Approach X. Li et al. 10.1021/acs.est.4c02221
10 citations as recorded by crossref.
- Concentration and source changes of nitrous acid (HONO) during the COVID-19 lockdown in Beijing Y. Zhang et al. 10.5194/acp-24-8569-2024
- HONO chemistry and its impact on the atmospheric oxidizing capacity over the Indo-Gangetic Plain P. Pawar et al. 10.1016/j.scitotenv.2024.174604
- Explainable Machine Learning Reveals the Unknown Sources of Atmospheric HONO during COVID-19 Z. Gao et al. 10.1021/acsestair.4c00087
- Machine Learning Integrated PMF Model Reveals Influencing Factors of Ozone Pollution in a Coal Chemical Industry City at the Jiangsu-Shandong-Henan-Anhui Boundary C. Wang et al. 10.1016/j.atmosenv.2024.120916
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- Relative humidity driven nocturnal HONO formation mechanism in autumn haze events of Beijing H. Xuan et al. 10.1038/s41612-024-00745-8
- Radical chemistry and VOCs-NOx-O3-nitrate sensitivity in the polluted atmosphere of a suburban site in the North China Plain Y. Li et al. 10.1016/j.scitotenv.2024.174405
- Excited-State Decay and Photolysis of O-Nitrophenol after Proton Transfer. II: A Theoretical Investigation in the Microsolvated Atmospheric Environment B. Yin et al. 10.1021/acs.jpca.4c04892
- Additional HONO and OH Generation from Photoexcited Phenyl Organic Nitrates in the Photoreaction of Aromatics and NOx T. Chen et al. 10.1021/acs.est.3c10193
- Accurately Predicting Spatiotemporal Variations of Near-Surface Nitrous Acid (HONO) Based on a Deep Learning Approach X. Li et al. 10.1021/acs.est.4c02221
Latest update: 23 Nov 2024
Short summary
In this study, combining comprehensive field measurements and a box model, we found NO2 conversion on the ground surface was the most important source for HONO production among the proposed heterogeneous and gas-phase HONO sources. In addition, HONO was found to evidently enhance O3 production and aggravate O3 pollution in summer in China. Our study improved our understanding of the relative importance of different HONO sources and the crucial role of HONO in O3 formation in polluted areas.
In this study, combining comprehensive field measurements and a box model, we found NO2...
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