Evidence map›Paper›PMID 41244492›Full record

ArticleACS omega2025

Study on the Synergistic Approach to Pollution and Carbon Emissions Reduction of Power Generation Industry in Anhui Province, China.

Lei Wu, Weiwei Zhu, Jing Qian, Manyi Yang, Xiaohui Wang

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

5 authors.

Lei WuAnhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China.
Weiwei ZhuSchool of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China.ORCID https://orcid.org/0009-0008-9869-6929
Jing QianAnhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China.
Manyi YangSchool of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China.
Xiaohui WangAnhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China.ORCID https://orcid.org/0009-0009-3431-3578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The power generation sector is a significant contributor to secondary energy production, and as such, it is an important source of air pollutants and greenhouse gas emissions. Consequently, the sector is a key target for environmental protection. This study is focused on the power generation industry in Anhui Province, China. The LMDI decomposition model and the LEAP model are employed to establish five emission reduction scenarios, which were used to forecast future trends in carbon dioxide and air pollutant emissions in the power generation sector from 2022 to 2035. The results indicate that the implementation of comprehensive measures for the promotion of washed coal technology, improvements in coal-fired power generation efficiency, and the substitution of clean energy, carbon dioxide, and atmospheric pollutants will reach their peak in 2027, achieving the most optimal emission reduction effects. The analysis of the synergistic emission reduction effects demonstrates that the implementation of comprehensive measures yields optimal reduction in carbon dioxide and atmospheric pollutants. Furthermore, the comprehensive scenario exhibits a considerable emission reduction contribution rate. For the power generation industry in Anhui Province, the simultaneous implementation of three emission reduction measures represents the optimal path for synergistic improvement in pollution reduction and carbon reduction. These measures provide policy recommendations for the power generation industry in other regions seeking to achieve pollution and carbon reduction.

Identifiers

PMID41244492
PMCPMC12612938

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.