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:
- show that global emissions increased 330% during 1960–2021, with declines in
- Global South countries under a business-as-usual scenario could increase 10%-
- 50% global mercury emissions by 2030. Our findings demonstrate that global
- spheric Hg distribution and deposition16–18. For centuries, developed iod, ASGM’s share of total emissions increased by 26% (Fig. 1c), making
- Latin America, Asia, and Oceania, typically contrasted with the Global sectors. Stage II (1980–2000) was a period of stable emissions due to
- inventory offers several advantages: (1) consistent methods for esti- largest emission sector, our ASGM estimate is also within the range of
- atmosphere reached 2477 Mg in 2021 (–25% to 30%, interquartile countries only accounted for 19% of global emissions, with the Global
- range), a 3.3-fold increase from 1960 (Fig. 1a). Artisanal and small-scale North being the main emitter at that time (Fig. 3). We divided the globe
- Fig. 1 | Global anthropogenic Hg emissions to the atmosphere from 1960 for each sector is available in Supplementary Table 1. Detailed annual emissions for
- to 2021. a Global anthropogenic Hg emissions by sector from 1960 to 2021. each sector are available in Supplementary Table 2. The uncertainty of Hg emis-
- emissions. However, by 2021, this share had decreased to only 10% Although China has been the world’s largest emitter of anthro-
- fossil fuel combustion39, which alone accounts for a reduction of 134 (546–750 Mg, interquartile range), nine-fold greater than that in 1960
- Mg (Fig. 4), achieved through policies promoting renewable energy (Fig. 4). Subsequently, it began to decline, contributing to 75% of the
- sented for 1960 (a) and 2021 (b). The map is sourced from National Platform for Year Proportion (%)
- emissions after East Asia, with increases over the past 62 years of 400%,
- 200%, and 700% respectively (Fig. 4). In these regions, ASGM accounts
- for up to 70% of the recent increase in Hg emissions, with the country experienced the fastest Hg emissions growth worldwide, rising by 1200%
- those areas, with changes over the past 62 years of –32%, 1300%, and
- 540%, respectively (Fig. 4). In Latin America, emissions from non- Implications for global mercury pollution and emission
- fallen to 29% of 1960 levels by 2021, thanks to a reduction in large-scale efforts made by the Global North and China, these have been entirely
- Fig. 4 | Regional anthropogenic Hg emissions by sector from 1960 to 2021. emissions of Hg by world region are available in Supplementary Table 3. The
- Carlo simulations ranges from –30% to 40% (interquartile range, oil refining, chlor-alkali production, and uncontrolled waste
- among emission sectors, contributing 62% of the total in 2021 (Sup- Biomass burning, newly introduced in the GMA 2018 inventory,
- like UNEP19. Other emission sectors also face limitations due to data on 16 types of biomass fuel emissions (Supplementary Table 1). ASGM
- emission factors (Supplementary Tables 4–6). The specific calculation detailed, long-term (1960–2021), high spatial resolution (0.1° × 0.1°)
- where m is the Hg species, k is the combination type of APCDs, F is the from relevant industry associations45 (Supplementary Table 8). For
- emission factors by varying the application rates of different APCDs 0.1° × 0.1° grid data45 (Supplementary Table 8). Notably, the PKU-FUEL
- assumed to be ±30%, 50%, 75%, and 100% based on data quality in 1. Mason, R. P. et al. Mercury biogeochemical cycling in the ocean and
- fit either a Weibull or a normal distribution (Supplementary Table 5). 4. Zhou, J., Obrist, D., Dastoor, A., Jiskra, M. & Ryjkov, A. Vegetation
- Carlo simulations generated probability distributions of annual atmosphere-land-ocean model: 40% more re-emissions buffer the
- or region, from 1960 to 2021. The interquartile range was used as an 6. Pirrone, N. et al. Global mercury emissions to the atmosphere from
- broad uncertainty range between the maximum and minimum predicted 9. Hammerschmidt, C. R., Fitzgerald, W. F., Lamborg, C. H., Balcom, P.
-
- Lavoie, R. A., Bouffard, A., Maranger, R. & Amyot, M. Mercury 35. Horowitz, H. M., Jacob, D. J., Amos, H. M., Streets, D. G. & Sunder-
-
- Qin, X., Guo, Q., Martens, P. & Krafft, T. Mercury stable isotopes combustion and cement production in China. Nature 524,
Methods (brief)
- atmospheric chemistry models5,18,21,31. They can help improve the sectors in this study were collected from the PKU-FUEL database. This
Implications
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Update history
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