Evidence map›Paper›PMID 42642432›Full record

ArticleNature communications2026

Unit-level assessment of mitigation pathways for mercury emissions from the global coal power fleet.

Guo Yaqin, Yan Liu, Dan Tong, Xinying Qin, Qingru Wu, Steven J Davis, Xizhe Yan, Dongsheng Zheng, Ruochong Xu, Fei Liu and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Guo Yaqin *Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
Yan Liu *Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
Dan TongMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China. dantong@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3787-0707
Xinying QinClimate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China.
Qingru WuState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3381-4767
Steven J DavisDepartment of Earth System Science, University of California, Irvine, Irvine, CA, USA.
Xizhe YanMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-1845-9579
Dongsheng ZhengMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-9712-5456
Ruochong XuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.
Fei LiuNASA Goddard Space Flight Center, Greenbelt, MD, USA.
Ji GaojianSchool of Economics and Management, Chengdu Normal University, Chengdu, China.
Guannan GengState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-1605-8448
Kebin HeState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-6006-9323
Qiang ZhangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8376-131X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atmospheric mercury pollution remains a serious threat for human health and ecosystems, as recognized by the Minamata Convention on Mercury adopted in 2013. Coal-fired power units are major emitters of various environmental pollutants globally, including mercury. Here, we show the historical co-benefits of air pollution control measures and coal power retirement, identify coal-fired power units with disproportionately high mercury emissions, which we define as super emitters, and propose country-specific mitigation strategies. We find that super emitters were primarily concentrated in emerging countries by 2020. Our unit-level analysis highlights that substantial, near-term and cost-effective reductions can be achieved by prioritizing the retirement of super emitters and upgrading pollution control equipment, especially in countries with large coal fleets. In the long term, mercury-specific control technologies will be needed for deeper reductions. Our findings provide insights into customized and stage-based mitigation strategies for phasing down key sources of mercury emissions from coal-fired power units.

Identifiers

PMID42642432
PMCPMC13507261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.