the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Using observed urban NOx sinks to constrain VOC reactivity and the ozone and radical budget in the Seoul Metropolitan Area
Abstract. Ozone (O3) is an important secondary pollutant that impacts air quality and human health. Eastern Asia has high regional O3 background due to the numerous sources and increasing and rapid industrial growth, which impacts the Seoul Metropolitan Area (SMA). However, SMA has also been experiencing increasing O3 driven by decreasing NOx emissions, highlighting the role of local, in-situ O3 production on SMA. Here, comprehensive gas-phase measurements collected on the NASA DC-8 during the NIER/NASA Korea United States-Air Quality (KORUS-AQ) study are used to constrain the instantaneous O3 production rate over the SMA. The observed NOx oxidized products support the importance of non-measured peroxy nitrates (PNs) in the O3 chemistry in SMA, as they accounted for ~49 % of the total PNs. Using the total measured PNs (ΣPNs) and alkyl and multifunctional nitrates (ΣANs), unmeasured volatile organic compound (VOC) reactivity (R(VOC)) is constrained and found to range from 1.4 – 2.1 s-1. Combining the observationally constrained R(VOC) with the other measurements on the DC-8, the instantaneous net O3 production rate, which is as high as ~10 ppbv hr-1, along with the important sinks of O3 and radical chemistry, are constrained. This analysis shows that ΣPNs play an important role in both the sinks of O3 and radical chemistry. Since ΣPNs are assumed to be in steady-state, the results here highlight the role ΣPNs play in urban environments in reducing net O3 production, but ΣPNs can potentially lead to increased net O3 production downwind due to their short lifetime (~1 hr). The results provide guidance for future measurements to identify the missing R(VOCs) and ΣPNs production.
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Status: open (until 14 May 2024)
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RC1: 'Comment on egusphere-2024-596', Anonymous Referee #2, 11 Apr 2024
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Nault et al. describe O3 production and its individual contributors in the Seoul Metropolitan Area based on airborne measurements with the NASA DC-8 aircraft during the KORUS-AQ campaign in 2016, as well as box model simulations using F0AM. The authors highlight three important aspects, which are the VOC reactivity, the production of HOx and the branching ratio of alkyl nitrates. A particular focus is put on the impact of unmeasured (O)VOCs, affecting underestimated peroxy and alkyl nitrates, and in turn deviations in NOx and radical sinks.
The paper is well written and interesting to read. I have some remaining questions and comments (see below). Once these are addressed, the paper would be a valuable contribution to the literature and I recommend it for publication.
Major Comments
Does “unmeasured VOC” refer to species that are neither measured, nor represented in the model?
Was Eq. (1) or Eq. (9) used to calculate P(Ox) throughout the study? Could you present a comparison between the results of the different approaches?
Lines 99 ff.: I have some questions regarding the calculations presented in the Supplement:
- Line 44 (Supplement) / Eq. S2: What about the reaction of CO with OH? HO2 is formed without going through RO2? Does this need to be accounted for? Depending on the location / altitude, I would expect that HO2 could be up to a factor of 2-3 higher than RO2.
- Figures S1b: It would be helpful to show the equation that presents the relationship between P(O3) and P(HOx) as well.
- Eq. S7 / Figure S1c: Do I understand correctly that Eq. S7 is used as a basis to create Figure S1c? It looks like that O3 production is approximately halved when increasing the branching ratio α from 0 to 10%. However, this is difficult to understand when looking at Eq. S7. The rate constants for HO2 and RO2 with NO are similar (k(HO2+NO) is a bit higher), and you assume that HO2 ≈ RO2. Therefore Eq. S7 could be simplified to P(Ox) ≈ (2-α) * k * [HO2] [NO]. Shouldn’t P(Ox) decrease by only a few % for α=0.1? Maybe it could be clarified how Figure S1 is developed / what causes the large impact on O3 production.
Lines 173 ff.: Airborne NO2 measurements are a challenge, particularly in the presence of peroxy nitrates, because they can decompose in the instrument (where we usually find higher temperatures than those of the ambient air) (Reed et al. (2016), Shah et al. (2023)). Usually, this problem arises at higher altitudes, but if you expect large amounts of PNs this might have a bias on the NO2 measurements. Was this investigated? How well does the measured NO2 and the PSS calculated NO2 agree? Maybe a comparison of measured and calculated NO2 beyond the NO2/NO ratio (e. g. in the Supplement) could strengthen your argument.
Lines 224: Why do you use the box model calculated HO2 instead of the measurements? Maybe you could present a comparison of modeled and measured HO2?
Line 238: Could this also include airport NOx emissions?
Lines 272 ff.: Are these differences significant? What’s the uncertainty of the individual shares?
Lines 311 f.: Does this mean that one go through the HOx cycle produces only 1.53, instead of 2 O3? Does this in turn mean, that only 1.53 NO molecules are involved? Could you explain the role of CO and HCHO in more detail?
Lines 337 – 352: This section is a bit hard to follow. Could you clarify how R(VOC) is determined? Is Eq. 11 needed to understand Figure 4? Maybe it would make sense to present Eq. 11 earlier in the text?
Line 466 ff.: Could you elaborate a bit further on how the competition between R8 and R9 relates to formaldehyde?
Lines 577 ff.: Are Figures 6(b) and (c) created using the box model or the observations?
Minor Comments:
Line 84: Is there a word missing? “One important subclass of VOCs are (?) aldehydes…”
Figure 3: The Figure caption mentions panel (c) instead of (b).
Line 341 / Figure 4b: Do you mean “α using Eq. 10”?
Line 568 f.: There seems to be something wrong in this sentence. Can you rephrase it?
Literature:
Reed et al. (2016) https://doi.org/10.5194/acp-16-4707-2016
Shah et al. (2023) https://doi.org/10.5194/acp-23-1227-2023
Citation: https://doi.org/10.5194/egusphere-2024-596-RC1
Data sets
KORUS-AQ DC-8 1 min merged data KORUS-AQ Science Team https://doi.org/10.5067/Suborbital/KORUSAQ/DATA01
Model code and software
F0AM setup, input, and output files B. A. Nault and K. R. Travis https://doi.org/10.5281/zenodo.10723227
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