Skip to content
Heavy Metal Index

Seasonal Variability in Marine Atmospheric Mercury Isotope

Source

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus.

Page snapshot
Cited by4 pages
Metals measured2
Evidence tierB
Year2026

Overview

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.

Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

  • Table 1. Hg Isotope Enrichment Factors of Odd-MIF and Even-MIF in Physical and Chemical Processes Contained in the
  • and Sun et al.43 cEnrichment factors for atmospheric HgII photoreduction process are assumed from Song et al.,25 which is the mean enrichment
  • measurement37,38 has reported E199Hg of about 3.5‰ between snow and air during the Arctic AMDE. We speculate that 60% of deposited
  • tion of stable Hg isotopes for marine source attribution. Flux down = K w × CHg a/H (2)
  • studies.18,35,36,38,52−56,59−80 (b-c) Comparison of observed and modeled mean Δ199Hg and Δ200Hg signatures for atmospheric Hg0, HgII(g),
  • are listed in Table 1, adapted from Song et al.25 Specifically,
  • emissions are summarized in Table S1. The model is initialized
  • residual Hg II (p) and depletion in the reduced Hg 0 . inherent uncertainties (Table 1), which may influence the
  • mechanisms remain incompletely understood. In our recent simulated values. As shown in Table S2, doubling the
  • reproduces observed global Δ200Hg values across different variability ranges from 0.02‰ to 0.05‰ for Hg0 deposition,
  • atmospheric Hg species (Table 1). In this study, seasonal approximately 0.1‰ to 0.2‰ for HgII dry deposition, and
  • et al.25,44 (Table S1), with natural emissions derived from field Δ199Hg variability of approximately 0.1‰ to 0.2‰ for dry
  • in Table S1, the Δ199Hg and Δ200Hg of Hg0 emissions has model aligns with most available observations, the limited
  • anthropogenic emission sources, are synthesized to validate 1c). The model results show −0.07 ± 0.01‰ (n = 52) for Hg0,
  • our model results (Figure 1a). The model successfully 0.16 ± 0.01‰ (n = 2) for HgII(g), 0.07 ± 0.05‰ (n = 4) for
  • atmosphere. As shown in Figure 1b, the modeled annual (n = 4) for HgII(p) in remote mountain sites, and 0.15 ±
  • mean Δ199Hg values for Hg0 (−0.20 ± 0.02‰, n = 53), 0.03‰ (n = 14) for HgII(pre), which are in close agreement
  • HgII(g) (0.33 ± 0.12‰, n = 2), HgII(p) in near-shore and with observed values of −0.06 ± 0.03‰ (n = 52) (R2 = 0.18,
  • MBL environment (0.26 ± 0.06‰, n = 5), HgII(p) in remote RMSE = 0.02), 0.17 ± 0.02‰ (n = 2), 0.08 ± 0.05‰ (n = 4)
  • mountain sites (0.46 ± 0.33‰, n = 4), and HgII(pre) (0.39 ± (R2 = 0.82, RMSE = 0.02), 0.10 ± 0.03‰ (n = 4), and 0.16 ±
  • 0.14‰, n = 15) are comparable to the observed values of 0.03‰ (n = 14) (R2 = 0.50, RMSE = 0.03), respectively. This
  • −0.19 ± 0.06‰ (n = 53) (R2 = 0.15, RMSE = 0.05), 0.40 ± reflects the feasibility of even-MIF modeling in this study.
  • 0.05‰ (n = 2), 0.25 ± 0.32‰ (n = 5), 0.43 ± 0.14‰ (n = 4), We further validated the model results in the MBL by using
  • and 0.33 ± 0.28‰ (n = 15), respectively. This indicates that available marine and coastal atmospheric Hg isotope data.
  • feasibility. Similarly, the modeled annual mean Δ200Hg values compositions of Hg0 from island52−54 and MBL sites,55 the
  • mean of Δ199HgII(p) signatures. (b) The background color represents modeled annual mean of Δ200HgII(p) signatures. (c)−(f) Comparison of
  • 0.07‰, n = 4) and Δ200Hg (−0.06 ± 0.01‰, n = 4) favorably with the measurements of 0.35 ± 0.16‰ and 0.18 ±
  • signatures, yielding modeled values of −0.18 ± 0.03‰ (n = 4) 0.04‰, respectively. In addition, the simulated isotope
  • and − 0.06 ± 0.01‰ (n = 4), respectively. The model also signatures are consistent with vessel-based observations in
  • mean simulation results. Specifically, the observed and S5). This pattern indicates that chemical fractionation
  • 0.02 ± 0.27‰ (n = 109), respectively, while the Δ200Hg values while the isotopic composition of Hg0 remains stable due to its
  • are 0.11 ± 0.12‰ and 0.09 ± 0.13‰ (n = 109), respectively. dominance in the atmospheric Hg pool (>90%) and the
  • Figure 4. Association between monthly mean values of important factors and MIF signals of atmospheric Hg over: (a) Indian ocean, (b) North
  • ments. The model also reveals pronounced seasonal trends and (Figure S7); annual zonal mean (Figure S8); annual
  • variations among different atmospheric Hg species, under- mean chemistry rates (Figure S9); monthly mean of Br
  • oxidized Hg and dry deposition. Such advancements are emission sources (Table S1); min and max monthly
  • transformation of atmospheric Hg in marine environments. (Table S2) (PDF)
  • indicate a maximum monthly mean difference of 0.30‰ for China; Frontiers Science Center for Critical Earth Material
  • implications for the global mercury budget. Atmos. Chem. Phys. 2017, (23) Jiskra, M.; Heimbürger-Boavida, L.-E.; Desgranges, M.-M.;
  • (6) UN-Environment, Global Mercury Assessment 2018; UN Environ- J.; Thyssen, M.; Point, D.; Sonke, J. E. Mercury stable isotopes
  • (8) Tsui, M.-K.; Blum, J. D.; Kwon, S. Y. Review of stable mercury Isotope Data Constrains Redox Chemistry of Atmospheric Mercury.
  • Choi, J. W. Mercury stable isotopes for monitoring the effectiveness of No. 119588.

Methods (brief)

  • factor of photoreduction for aqueous Hg collected in Sun et al.39 Even-MIF in the HgII(p) photoreduction process is speculated in Song et al.44
  • samples, including gaseous, particulate, and precipitation
  • samples, as shown in Figure 1. Hg0 observations are primarily successfully reproduces most observed Δ200Hg values in the
  • remote mountain sites. Marine aerosol data were collected lightning activity, which has been suggested as a contributor
  • collecting 52 HgII(p) samples from the western North Pacific, Peterborough, Ontario, Canada.45,50 In addition, the limited
  • Pacific between 2018 and 2019. Qiu et al.48 collected and constrains model validation and introduces uncertainties into
  • samples in the marginal seas of South and Southeast Asia in and their seasonal variations over the Indian Ocean, South
  • aerosol samples collected along a cruise track from Shanghai, absence of corresponding observational data, which may
  • precipitations samples are also primarily located in East Asia on the MBL environment. Nevertheless, despite these
  • precipitation samples exhibit the highest levels of odd-MIF established Hg isotope fractionation mechanisms, providing
  • minimal impact on the analysis of the modeling results. isotopes, primarily collected from regions distant from major
  • respectively. Observations are represented points, which are collected from three studies.47−49.
  • captures the Δ199Hg (0.22 ± 0.1‰) and Δ200Hg (0.16 ± the MBL (Figure 1a). These field measurements, collected at
  • Ocean, central-eastern Pacific, and the Southern Ocean. Given All the collected data for validating the modeling results

Implications

This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.

Wiki pages this source may touch

Verification notes

  • Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing wiki/sources/ pages before creation.
  • Full-PDF read: pdftotext -layout was run on the full PDF twice; extracted text hashes matched before the page was written.
  • Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
  • Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
  • HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.

Update history

The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

CommitDateChangeDescription
b01ec52c2026-08-04major2 sections added
d49e450f2026-08-03major5 sections added; narrative text revised