the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement Report: Polycyclic aromatic hydrocarbons (PAHs) and their alkylated (RPAHs), nitrated (NPAHs) and oxygenated (OPAHs) derivatives in the global marine atmosphere: occurrence, spatial variations, and source apportionment
Abstract. Ambient polycyclic aromatic hydrocarbons (PAHs) and their derivatives have severe adverse impacts on organism health and ecosystem safety. However, their global distributions, sources, and fate in marine aerosols remain poorly understood. To fill the knowledge gap, high-volume air samples were collected along a transect from China to Antarctica and analyzed for particulate PAHs and derivatives. The highest PAH concentrations in marine aerosols were observed in the Western Pacific (WP: 447±228 pg/m³), followed by the East China Sea (ECS: 195 pg/m³), Antarctic Ocean (AO: 111±91 pg/m³), East Australian Sea (EAS: 104±88 pg/m³), and the lowest in the Bismarck Sea (BS: 17±12 pg/m³). Unexpectedly, PAH concentrations in the AO were even higher than those in the EAS and BS. This could be attributed to the relatively low anthropogenic PAH emissions from Australia and Papua New Guinea, whereas AO is often affected by emissions from engine combustion and biomass burning. In contrast to the distribution of PAHs, OPAH levels in the EAS were much higher than those in the AO. It was assumed that OPAHs mainly originated from the secondary formation of parent PAHs through reactions with O3 and OH radicals, both of which are more prevalent in EAS. Several source apportionment models suggested that PAHs and their derivatives in marine aerosols are dominated by three sources: coal burning and engine combustion emissions (56 %), wood and biomass burning (30 %), and secondary formation (14 %). Specifically, marine aerosols in ECS and WP were significantly affected by coal burning and engine combustion, while those in BS and EAS were mainly influenced by wildfire and coal combustion. AO was primarily dominated by biomass burning and local shipping emissions.
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Status: open (until 14 May 2025)
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RC1: 'Comment on egusphere-2024-3740', Anonymous Referee #1, 12 Mar 2025
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General comments:
This study provides a comprehensive analysis of the global distribution, spatial variation, and source apportionment of polycyclic aromatic hydrocarbons (PAHs) and their derivatives in the marine atmosphere through large-scale sampling and the PMF model. Notably, the findings fill a knowledge gap regarding the occurrence and composition of particle-phase alkylated, nitrated, and oxygenated PAHs in marine aerosols. These results will facilitate the understanding of the impact of PAH derivatives pollution on marine ecosystems. Therefore, I recommend that the manuscript be published in this journal after minor revisions.
However, the quality assurance/quality control (QA/QC) section requires further elaboration. More detailed explanations regarding the background signal subtraction in mass spectrometry data processing, the calculation of the method detection limit (MDL) and the method quantification limit (MQL), and the linear range of the standard curves should be provided. Moreover, the construction of the PMF model and the description of pollution sources need to be further clarified. Specific comments are provided below.
Specific comments:
(1) Line 48: Replace “spatiotemporal characteristics” with “spatial characteristics”, as the introduction and results in this study focus on spatial rather than temporal trends. Temporal aspects (e.g., seasonal influences) could be emphasized in the implication section.
(2) Lines 84–87: Please specify the reference standards used in the mass spectrometric analysis and whether internal standards were added to evaluate the recovery and instrument stability.
(3) Lines 114–116: To avoid bias introduced by missing data, did the authors use the MDL/2 method for statistical analysis when handling concentration data below the detection limit?
(4) Line 129–131: The range of predefined factor numbers, the ratio of QRobust to QTrue, and the optimal number of factors should be provided when constructing the PMF model.
(5) Line 138–140: To ensure model reliability, the coefficient of determination (R2) between the predicted and observed concentrations of PAHs and their derivatives, along with the significance P-value, should also be provided.
(6) Lines 182–187: While the absolute concentrations of OPAHs at some high-latitude sites were comparable to or slightly lower than those of PAHs, the total concentrations of OPAHs were significantly higher than those of PAHs (P < 0.01). Could this significant difference be attributed to the higher concentrations of O3 and OH radicals at lower latitudes, which promote the oxidation of PAHs? The current explanation seems somewhat unclear.
(7) Line 194–197: It is recommended to add a figure illustrating the distribution of sampling points in the five areas to facilitate understanding.
(8) Line 213–215: The claim that Pyr, BeP, and BaP levels in the Antarctic Ocean (AO) exceed those in the East China Sea (ECS) due to shipping emissions could be misleading, as it may imply that the AO has more shipping activity. I recommend removing this statement and instead emphasizing the impact of wildfires on BbF levels.
(9) Line 261–262: Consider removing “Compared with other PAH derivatives, RPAHs showed low correlation coefficient with meteorological parameters”, as it does not support the conclusion of this paragraph. If retained, provide an explanation for this observation.
(10) Line 506–518: In Figure 4, using identical numbers for different compounds is confusing. It would be clearer to use compound names or their abbreviations instead. Moreover, please clarify what “B” represents on the y-axis of Figures 4c–4d in the figure caption.
Citation: https://doi.org/10.5194/egusphere-2024-3740-RC1
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Measurement Report: Polycyclic aromatic hydrocarbons (PAHs) and their alkylated (RPAHs), nitrated (NPAHs) and oxygenated (OPAHs) derivatives in the global marine atmosphere: occurrence, spatial variations, and source apportionment R. Li https://zenodo.org/records/14291911
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