the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Emissions of organic compounds from western US wildfires and their near-fire transformations
Christos Stamatis
Edward C. Fortner
Rebecca A. Wernis
Paul Van Rooy
Francesca Majluf
Tara I. Yacovitch
Conner Daube
Scott C. Herndon
Nathan M. Kreisberg
Kelley C. Barsanti
Allen H. Goldstein
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- Final revised paper (published on 03 Aug 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 25 Apr 2022)
- Supplement to the preprint
Interactive discussion
Status: closed
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RC1: 'Comment on acp-2022-297', Anonymous Referee #1, 26 May 2022
Summary:
The work submitted by Liang and Stamatis et al., addresses gas and particle phase organic species, and investigates the composition of PM from largely coniferous fuel wildfires sampled by the Aerodyne Mobile Lab as part of the FIREX-AQ study. The results presented here ultimately aim to address unknowns associated with the composition of wildfire PM, and the formation of secondary species such as SOA. Overall the manuscript is well written with minimal grammatical errors and the work is clearly presented. It is appropriate for ACP and should be considered for publication, but some minor caveats need to be considered first. Though the overall study is clear, the manuscript would benefit from increased specificity, especially in qualifying comparative statements or defining the importance of contributions from single species (see below in more detail). This would help provide additional context to some of the comparisons with other studies and to which compounds are most important in this context of wildfire PM. Additionally, though the importance of this work is implied throughout the text, more clearly defined statements regarding broader impacts would help strengthen the significance of the results presented here. For instance, estimates on SOA formation or potential yields from the most abundant compounds could help contextualize the importance of these species, though a detailed analysis may be outside the scope of this work. Additionally, in the conclusion, the authors mention that the emission profiles can benefit future source apportionment and exposure assessments for public health and impacts. Though this is true, specificity on how that could be done is lacking. The authors should not underestimate the importance of the work they have done--they even mention that non-targeted molecular level measurements of biomass burning particles in the literature are scarce. Thus, the work is unique and the authors should reiterate that and the implications moving forward. Below are specific comments and suggestions relevant to each section:
Abstract: Could benefit from more specificity. E.g, “MCE was a good predictor of particle phase EFs…” is there an R2 value or correlation coefficient range that can be listed to strengthen this statement?
Introduction:
L39, 58 & throughout: references within text should be in some chronological order, descending or ascending based on year
L83-84: consider rewording “traveled very close to three wildfires” to “sampled ground-based near-source emissions from wildfires”
L87: “sampling very close” quantify w/ distance (i.e <1 km)
L90: End of this paragraph would benefit from expected outcomes of tasks 1 &2. What do you expect these objectives to bring to the broader community/current knowledge? Reiterate points from intro. 1-2 sentences is fine.
Materials & Methods:
L99-100: As samples were taken when the AML was stationary and mobile, was any process considered to remove potential cross-contamination from the AML? Was this a concern? If not, express why.
L105: ‘Very short section’ – any quantifiable length?
L110: Wouldn’t necessarily call PM2.5 large. The PM2.5 cyclone was there to remove particles below PM2.5.
L111: Mention of samples excluded from analysis. What % is this compared to rest of data?
L112: suggest rewording “analyzed 33 PM2.5 3.5-hour samples” to “analyzed 33 3.5 hour PM2.5…”, less awkward
L156: Is 285C enough to desorb all species? Any fraction expected to be lost?
L204: ‘Eleven filter out of 27 samples met all the thresholds for EF calculation’ – awkward wording, consider rewriting
Results & Discussion:
L215-217: Seems like you can condense this into “MCE is useful for predicting emissions among similar fuel types?”
L270-275: Earlier authors mentioned that resin acids and diterpenoid species are abundant in the conifer stems and needles, but also note that abundance can come from heat-induced evaporative emissions from “non-burned forest components in wildfires”. In this line, authors mention that these compounds can be used as tracers for BB. Given the earlier statement, with what certainty/accuracy can these species be used as tracers if there is still some fraction of them emitted in the presence of non BB (heat induced)? Perhaps I am misinterpreting the results, but clarification on these two statements/stipulation in regards to previous statement would be beneficial.
L282: “…are higher than those” how much higher? Quantify w/ percentage or fraction/factor.
L296-299: quantify comparative statements. (e.g values were within X% of one another, these ratios are Y of Z from ____ study).
L304: “significantly higher” again quantify/qualify
L314-315: awkward wording, consider rewrite
L316: ‘still much smaller’ – how much?
L324: Do you have a sense/proxy for how aged the samples in this study were by comparison? What fraction of what was sampled do you suspect had already formed SOA? Maybe hard to determine
L328: how much higher? Define statistically significant
L356-357: rewrite, can’t follow
L362: remove “though”
L386: Isn’t EC separate from OC? So should say “… phase organic compound EFs, but not for EC”
L386: “Dominated” – list fractional contribution
L388: how much higher?
L389: How much of a decrease?
L391-392: Broad statement, specify how it can contribute to health impacts. E.g formation of PM downwind a big point
Tables & Figures:
Figure 1: How was a “sample” defined? From the figure it looks like a sample refers to an emission pass near the fire for X amount of minutes? Please clarify in figure/text. Was number of minutes (e.g “n”) accounted for in samples? Useful to list date samples were taken if all from the same day w/in figure.
Table 1:
Include date(s) that fire was sampled
Table 2: Include measurement uncertainty or detection limit if appropriate
Citation: https://doi.org/10.5194/acp-2022-297-RC1 -
RC2: 'Comment on acp-2022-297', Anonymous Referee #2, 03 Jun 2022
This paper shows the results of analysis of gas- and particle-phase organic compounds emitted from western US wildfires using GCxGC coupled with mass spectrometry. The measurements were performed by the Aerodyne Mobile Laboratory (AML) as a part of the FIREX-AQ project. The authors calculated emission factors (EFs) and emission ratios (ERs) for various gas- and particle-phase compounds. Then, those properties were evaluated from the points of correlations with modified combustion efficiency (MCE) and relationship with saturation concentration and so on. I think that this paper includes the latest new results regarding real-world biomass burning and is valuable for researchers in the fields related to atmospheric and environmental sciences. Therefore, I recommend this paper to be published in Atmospheric Chemistry and Physics. But, I have comments to be addressed before publishing. My comments are listed below.
Major comments:
The biggest issue of this paper I think is that details of sample treatment and the relationship between sampling and data points in several figures and tables and are not shown clearly. The authors collected 33 hourly samples, but they didn’t describe how many samples were collected for individual fires and the corresponding sampling condition (e.g., when the AML was stationary or in transit). Figures 2 and 3 show 9 data points for the Nethker Fire and 2 for the Arizona Fires. How were these data points obtained (if those data points included both samples obtained when the AML was stationary and in transit, how were EFs calculated individually)? I think such details must be described due to credibility of this manuscript.
Minor comments:
Line 232: “markedly higher terpenoids+resin acids EF” Here the authors mention terpenoid and resin acid separately. But according to the description in line 131, resin acid is included in terpenoid group. The statement of this should be consistent throughout the manuscript.
Line 284-285: I didn’t follow the difference between “the field adjusted EFs” mentioned here and other EFs used in this paper. More detailed description should be added.
Line 327-330: “The average nighttime concentration of nitroaromatic compounds … in FIREX-AQ (Decker et al., 2021)” Is this a result of this work? If so, the corresponding results should be added.
Line 334-335: “We observed possible SOA marker compounds such as butanedioic acid and octanedioic acid in the samples.” How much were those compounds emitted? It would be good if more discussion on the relationship between SOA formation and these compounds can be added.
Line 342: “OH” and “NO3” should be “OH concentration” and “NO3 concentration”, respectively.
Figures 2 and 3:
- Why don’t the results from the Cow Fire include?
- These figures are very similar to Figure S3. Also, according to the story from line 230, it would be good to combine Figure S3 with Figures 2 and 3.
Figure 6:
- What does color code mean?
- Which markers correspond to the Fire Lab 2016 laboratory or this study? Markers should be shown with different symbols.
Technical corrections:
Line 164: “Organic Carbon (EC)” should be “Organic Carbon (OC)”.
Line 225: “…(Coggon et al., 2016). for the EFs…” Period should not be needed.
Line 238: “Simoneit et al., 1993)..” One of period is not needed.
Line 372: “f_44” should be “f_CO2+”.
Citation: https://doi.org/10.5194/acp-2022-297-RC2 -
AC1: 'Comment on acp-2022-297', Yutong Liang, 29 Jun 2022
The comment was uploaded in the form of a supplement: https://acp.copernicus.org/preprints/acp-2022-297/acp-2022-297-AC1-supplement.pdf