Articles | Volume 18, issue 2
https://doi.org/10.5194/acp-18-673-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-18-673-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2018
Research article |
| 19 Jan 2018
A parameterization of the heterogeneous hydrolysis of N2O5 for mass-based aerosol models: improvement of particulate nitrate prediction
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Multiphase Chemistry Department, Max Planck Institute for Chemistry,
55128 Mainz, Germany
now at: Lancaster Environment Centre, Lancaster University,
Lancaster, LA1 4YQ, UK
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Liang Ran
Key Laboratory of Middle Atmosphere and Global Environment
Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing, 100029, China
Wolfram Birmili
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
German Environment Agency, 06844 Dessau-Roßlau, Germany
Gerald Spindler
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Wolfram Schröder
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Multiphase Chemistry Department, Max Planck Institute for Chemistry,
55128 Mainz, Germany
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, China
Yafang Cheng
Multiphase Chemistry Department, Max Planck Institute for Chemistry,
55128 Mainz, Germany
Institute for Environmental and Climate Research, Jinan University,
Guangzhou, China
Ina Tegen
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Alfred Wiedensohler
Leibniz-Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
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32 citations as recorded by crossref.
- Improving fine aerosol nitrate predictions using a Plume-in-Grid modeling approach M. Zakoura & S. Pandis 10.1016/j.atmosenv.2019.116887
- Particle hygroscopicity inhomogeneity and its impact on reactive uptake T. Zong et al. 10.1016/j.scitotenv.2021.151364
- Explosive morning growth phenomena of NH3 on the North China Plain: Causes and potential impacts on aerosol formation Y. Kuang et al. 10.1016/j.envpol.2019.113621
- Mutual promotion between aerosol particle liquid water and particulate nitrate enhancement leads to severe nitrate-dominated particulate matter pollution and low visibility Y. Wang et al. 10.5194/acp-20-2161-2020
- Rapid sulfate formation from synergetic oxidation of SO2 by O3 and NO2 under ammonia-rich conditions: Implications for the explosive growth of atmospheric PM2.5 during haze events in China S. Zhang et al. 10.1016/j.scitotenv.2020.144897
- Sources and transformation of nitrate aerosol in winter 2017–2018 of megacity Beijing: Insights from an alternative approach Z. Zhang et al. 10.1016/j.atmosenv.2020.117842
- Relative importance of gas uptake on aerosol and ground surfaces characterized by equivalent uptake coefficients M. Li et al. 10.5194/acp-19-10981-2019
- Technical note: Influence of different averaging metrics and temporal resolutions on the aerosol pH calculated by thermodynamic modeling H. Wang et al. 10.5194/acp-24-6583-2024
- Urban and Remote cheMistry modELLing with the new chemical mechanism URMELL: part I gas-phase mechanism development M. Luttkus et al. 10.1039/D3EA00094J
- Calculating ambient aerosol surface area concentrations using aerosol light scattering enhancement measurements Y. Kuang et al. 10.1016/j.atmosenv.2019.116919
- Natural sea-salt emissions moderate the climate forcing of anthropogenic nitrate Y. Chen et al. 10.5194/acp-20-771-2020
- Vertical distribution of PM10 and PM2.5 emission sources and chemical composition during winter period in Delhi city R. Shanmuga Priyan et al. 10.1007/s11869-021-01092-w
- Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0 J. Gil et al. 10.5194/gmd-16-5251-2023
- Quantifying the formation pathways of nitrate in size-segregated aerosols during winter haze pollution L. Luo et al. 10.1016/j.gr.2022.11.015
- Effects of organic coating on the nitrate formation by suppressing the N<sub>2</sub>O<sub>5</sub> heterogeneous hydrolysis: a case study during wintertime in Beijing–Tianjin–Hebei (BTH) L. Liu et al. 10.5194/acp-19-8189-2019
- Impact of Relative Humidity on the vertical distribution of aerosols over India P. Prasad et al. 10.1016/j.atmosres.2022.106468
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- Effects of heterogeneous reactions on tropospheric chemistry: a global simulation with the chemistry–climate model CHASER V4.0 P. Ha et al. 10.5194/gmd-14-3813-2021
- Overprediction of aerosol nitrate by chemical transport models: The role of grid resolution M. Zakoura & S. Pandis 10.1016/j.atmosenv.2018.05.066
- Aerosol chemical component: Simulations with WRF-Chem and comparison with observations in Nanjing T. Sha et al. 10.1016/j.atmosenv.2019.116982
- Photochemical reaction playing a key role in particulate matter pollution over Central France: Insight from the aerosol optical properties D. Hu et al. 10.1016/j.scitotenv.2018.12.084
- A comprehensive study about the in-cloud processing of nitrate through coupled measurements of individual cloud residuals and cloud water G. Zhang et al. 10.5194/acp-22-9571-2022
- Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India Y. Wang & Y. Chen 10.1029/2019GL082339
- Insights into measurements of water-soluble ions in PM2.5 and their gaseous precursors in Beijing J. Su et al. 10.1016/j.jes.2020.08.031
- Ammonium Chloride Associated Aerosol Liquid Water Enhances Haze in Delhi, India Y. Chen et al. 10.1021/acs.est.2c00650
- Characteristics of aerosol size distribution and liquid water content under ambient RH conditions in Beijing H. Dai et al. 10.1016/j.atmosenv.2022.119397
- The influence of impactor size cut-off shift caused by hygroscopic growth on particulate matter loading and composition measurements Y. Chen et al. 10.1016/j.atmosenv.2018.09.049
- Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
- Transport Pathways of Nitrate Formed from Nocturnal N2O5 Hydrolysis Aloft to the Ground Level in Winter North China Plain X. Zhao et al. 10.1021/acs.est.3c00086
- Size-resolved water-soluble organic carbon and its significant contribution to aerosol liquid water M. Xu et al. 10.1016/j.scitotenv.2024.172396
- Importance of NO3 radical in particulate nitrate formation in a southeast Chinese urban city: New constraints by δ15N-δ18O space of NO3- Z. Zhang et al. 10.1016/j.atmosenv.2021.118387
- Investigating impact of emission inventories on PM2.5 simulations over North China Plain by WRF-Chem X. Ma et al. 10.1016/j.atmosenv.2018.09.058
Latest update: 26 Dec 2024
Short summary
The heterogeneous hydrolysis of N2O5 on particle surfaces is crucial for the nitrogen cycle in the atmosphere. The reaction rate is determined by meteorological and particle properties, but its parameterization in previous 3-D modelling studies did not comprehensively consider these parameters. We propose a parameterization to take these into account and improve nitrate prediction; we report that the organic coating suppression on the N2O5 reaction is not as important as expected in the EU.
The heterogeneous hydrolysis of N2O5 on particle surfaces is crucial for the nitrogen cycle in...
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