the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of the heterogeneous ammonia uptake on air quality in the North China Plain
Abstract. Previous studies have revealed that the heterogeneous uptake of ammonia (NH3) on secondary organic aerosols (SOA) profoundly influences the NH3 budget, nitrate aerosol chemistry, and the regional PM2.5 burden, also constituting an important source of nitrogen-containing organic compounds (NOCs). However, current regional modeling efforts are hindered by large uncertainties in uptake coefficients (γ) and a persistent lack of field-based observational constraints. In this study, we incorporate a first-order reactive NH3 uptake mechanism into the WRF-Chem model to evaluate its impacts on air quality and NOCs over the North China Plain (NCP) during November 2017, with a wide range of the uptake coefficient from 10-5 to 10-3. When simulations are constrained with available observations in the NCP, we conclude that the uptake coefficient of 10-5 is characterized as a conservative upper-bound estimate for this heterogeneous process. Sensitivity simulations with the uptake coefficient of 10-5 reveal that the uptake reaction decreases NH3 concentrations by 0.62 % and inorganic aerosol and PM2.5 concentrations by less than 0.06 %, but contributes 1.2 μg m-3 of NOCs in the NCP. This study suggests that the uptake reaction might be a vital path for NOCs formation, but its impact on air pollutants concentrations is insignificant.
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Status: final response (author comments only)
- RC1: 'Comment on egusphere-2026-2692', Anonymous Referee #2, 24 Jul 2026
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RC2: 'Comment on egusphere-2026-2692', Anonymous Referee #1, 27 Jul 2026
This paper uses 3D chemical transport modeling (WRF-Chem) over the North China Plain to examine how heterogeneous uptake of gas-phase NH3 onto secondary organic aerosol (SOA) affects NH3 levels, PM2.5 burden, and the formation of nitrogen-containing organic compounds (NOCs) during a November 2017 pollution episode. The authors evaluate the baseline simulation against multiple observational datasets, including field measurements, routine monitoring, and satellite retrievals. They then conduct sensitivity runs with three assumed uptake coefficients (γ = 10^-3, 10^-4, 10^-5) and diagnose resulting changes relative to the baseline, including decreases in ammonium and nitrate and indirect effects such as reduced sulfate formation via aerosol pH changes. They conclude that γ = 10^-5 yields NOC concentrations most consistent with observations and may represent a reasonable upper limit, which is associated with small impacts (<1%) on NH3 and overall PM2.5 burden.
Major comments:
Although the manuscript is well written, focuses on an important research question, and presents the results clearly, I recommend major revision to address several fundamental issues:
First, the key conclusion from this paper (i.e., γ = 10^-5 is a reasonable upper limit) is not sufficiently justified. It seems the sole reasoning is “NOCs concentrations simulated with the γ of 10^-5 are the closest to observations” (line 290). However, given the simplifying assumption that all NH3 uptake on SOA leads to NOC formation (line 115), I would expect that the model substantially overestimates NOC production for any given uptake coefficient. In that case, tuning γ downward to match observed NOCs could simply compensate for an overly efficient NOC yield, and the resulting “best-fit” γ may not be physically meaningful.
More broadly, I encourage the authors to reconsider and clarify the paper’s central objective. I do feel the sensitivity experiments are valuable and convincingly show that NH3 uptake on SOA can trigger cascading impacts on NH3, inorganic aerosol, and PM2.5, with a sublinear dependence on the assumed uptake coefficient. Several aspects (e.g., induced changes in aerosol–radiation interactions and potential dynamical responses) are interesting and could also be explored further. The current attempt to observationally constrain γ using NOCs, however, does not yet appear robust. If the authors aim to reduce the uncertainty in γ, substantially more work is needed to provide a stronger, more defensible constraint.
Another concern is the model setup and documentation. Since this is primarily a modeling study, inaccuracies or inconsistencies in the model description are particularly concerning. The manuscript states throughout that WRF-Chem is used, yet the Supporting Information says “aerosols are modeled in CMAQ using a modal approach…”. This is confusing because CMAQ and WRF-Chem are two distinct modeling systems. Please clarify whether this is an editing error or whether CMAQ is actually involved, and explicitly state in the main text which aerosol module/configuration is used. Also, the manuscript states that a “SAPARC-99” mechanism is used for gas-phase chemistry. Did you mean SAPRC-99? If so, this is an older mechanism, and SAPRC has undergone major updates since then (e.g., SAPRC18). Because the conclusions, especially those involving oxidant levels, sulfate/nitrate formation, and aerosol acidity, can depend strongly on the chemical mechanism and aerosol module, these choices need to be accurately described and clearly documented. Relatedly, as the study compares simulated NOC against observations, it is also important to clarify how the primary emissions of NOC are treated in your simulations. All these key model details are unclear in the current manuscript.
Minor comments:
Line 31: “increased by 75.7 ±6.3%” between what years?
Line 126: Define acronym IOA first.
Lines 198 & 219: “Consistent/inconsistent” reads a bit odd here because you’re describing a spatial pattern rather than agreement across datasets or time. Consider wording such as ‘the decrease is not spatially uniform’ or ‘ammonium does not decrease everywhere across the NCP”.
Citation: https://doi.org/10.5194/egusphere-2026-2692-RC2
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The authors present a model study to investigate the effect of ammonia on the formation of particulate mass and specific constituents in the North China Plain during a test case in 2017. The first step of the study is the incorporation of an WRF-Chem model and the comparison with measurement data to establish a base line and investigate the model bias as well as a prediction gap for single species. In a second step, the uptake of ammonia is implemented in the model and the effect on the prediction quality is investigated and discussed. As the aim of this study is a better understanding of the uptake process on the air quality, this study is very important to better reflect multiphase chemistry in model frameworks.
Unfortunately, the implementation seems to be done hastily and deserves far more attention and discussion. The authors vary the uptake coefficient itself, but leave the fate of ammonia in the particulate phase fixed. Moreover, instead of leaving the most important pathway of ammonia uptake the formation of ammonium, a huge assumption is made that all NH3 forms nitrogen-containing organic compounds (NOCs), which just does not seem justified. In the current form, the paper should not be published. If the authors improve on the setup of the model implementation of the uptake and can convincingly address the following comments, the manuscript should be re-evaluated carefully. I would expect many of the key findings to change drastically. As a result, large sections of the results part should be re-written.
Critical comments:
Further comments:
Minor comments: