Preprints
https://doi.org/10.5194/egusphere-2025-5754
https://doi.org/10.5194/egusphere-2025-5754
25 Nov 2025
 | 25 Nov 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Driving factors for the activity coefficient of atmospheric ammonium nitrate: discrepancies among thermodynamic models and impact on nitrate pollutions

Ruilin Wan, Guangjie Zheng, Yuyang Li, Xiaolin Duan, Jingkun Jiang, and Kebin He

Abstract. Semi-volatile NH4NO3 is a major component of atmospheric aerosols, and its environmental and climate effects are largely regulated by the gas-particle partitioning. The activity coefficient of NH4NO3, γAN, is one key parameter controlling the gas-particle partitioning, yet its dependence on meteorological condition and chemical profile remains uncertain. Here we investigated into this issue with comprehensive simulations and ambient observations, based on results of three widely-used thermodynamic models, i.e. ISORROPIA, E-AIM, and AIOMFAC. Across all models, γ2AN ranges between 10-2 and 10-1, with AIOMFAC results ~ 33 % lower than E-AIM and ISORROPIA. Correspondingly, AIOMFAC estimate higher particle phase nitrate values. The correlates positively with relative humidity (RH) and temperature, while RH generally contributes larger variations under typical scenarios. The effect of chemical composition on is more complex and is strongly modulated by RH. Furthermore, γ2AN responds more strongly to changes of particle chemical profile in E-AIM, whereas in ISORROPIA and AIOMFAC γ2AN is more sensitive to meteorological variations. As E-AIM is typically considered as the benchmark thermodynamic model, these results suggest the potential under-representation of chemical profiles in predicting γ2AN for ISORROPIA and AIOMFAC. The corresponding influence on 3-D chemical-transport model predictions of NH4NO3 are encouraged in future studies.

Competing interests: At least one of the co-authors is editor of ACP

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Ruilin Wan, Guangjie Zheng, Yuyang Li, Xiaolin Duan, Jingkun Jiang, and Kebin He

Status: open (until 06 Jan 2026)

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Ruilin Wan, Guangjie Zheng, Yuyang Li, Xiaolin Duan, Jingkun Jiang, and Kebin He
Ruilin Wan, Guangjie Zheng, Yuyang Li, Xiaolin Duan, Jingkun Jiang, and Kebin He
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Short summary
Semi-volatile NH4NO3 is a major component of atmospheric aerosols, and the activity coefficient of NH4NO3 is a key parameter in its estimations. Here we show different thermodynamic models differed in the NH4NO3 non-ideality representations, resulting in discrepancies in nitrate gas–particle partitioning predictions. The driving factors of chemical profiles and meteorological conditions are also investigated. This discrepancy can be an important source of uncertainty in air quality predictions.
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