Evidence map›Paper›PMID 39478047›Full record

ArticleScientific reports2024

The aeration and dredging stimulate the reduction of pollution and carbon emissions in a sediment microcosm study.

Lixiang Liu, Ke Yang, Liangzhong Li, Weiwei Liu, Haoran Yuan, Yongwei Han, Enxiang Zhang, Yuping Zheng, Yajuan Jia

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

9 authors.

Lixiang Liu *State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. liulixiang1982@126.com.
Ke Yang *Experimental Testing Team of Jiangxi Geological Bureau, Nanchang, 330006, China.
Liangzhong LiGuangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, 510640, China. lilz@ms.giec.ac.cn.
Weiwei LiuState Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. liuww@craes.org.cn.
Haoran YuanGuangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou, 510640, China.
Yongwei HanState Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Enxiang ZhangChongqing Research Academy of Environmental Science, Chongqing, 401336, China.
Yuping ZhengGuangzhou Transport Planning Research Institute, Guangzhou, 510030, China.
Yajuan JiaBaotou Ecological Environment Technology Center, Baotou, 014010, China.

Funding

National Natural Science Foundation of China 41907392
6 · The paper itself

Abstract

Sediment dredging and aeration are used as important technical measures to remediate internal loading of sediment in polluted rivers. However, previous studies have overlooked the impact of dredging and aeration on Greenhouse gases (GHGs) emission. We established three aeration rate(six different aeration intervals), one dredging treatment to investigate the effect of aeration and dredging on pollutant removals and CO

Indexed as

AerationDredgingGreenhouse gases (GHGs)Pollutants removalsReduction of pollution and carbon emissions

Identifiers

PMID39478047
PMCPMC11525881

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.