Evidence map›Paper›PMID 34566549›Full record

ArticleEnvironmental chemistry letters2022

Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming.

Hao Li, Kan Huang, Qingyan Fu, Yanfen Lin, Jia Chen, Congrui Deng, Xudong Tian, Qian Tang, Qingchuan Song, Zhen Wei

Abstract read
In one paragraph

Article in Environmental chemistry letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Hao LiShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433 China.
Kan HuangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433 China.ORCID 0000-0002-8909-8184
Qingyan FuShanghai Environmental Monitoring Center, Shanghai, 200030 China.
Yanfen LinShanghai Environmental Monitoring Center, Shanghai, 200030 China.
Jia ChenShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433 China.
Congrui DengShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433 China.
Xudong TianZhejiang Ecological and Environmental Monitoring Center, Hangzhou, 310012 Zhejiang China.
Qian TangZhejiang Ecological and Environmental Monitoring Center, Hangzhou, 310012 Zhejiang China.
Qingchuan SongZhejiang Ecological and Environmental Monitoring Center, Hangzhou, 310012 Zhejiang China.
Zhen WeiAnhui Ecological and Environmental Monitoring Center, Hefei, 230071 Anhui China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airborne black carbon is a strong warming component of the atmosphere. Therefore, curbing black carbon emissions should slow down global warming. The 2019 coronavirus pandemic (COVID-19) is a unique opportunity for studying the response of black carbon to the varied human activities, in particular due to lockdown policies. Actually, there is few knowledge on the variations of black carbon in China during lockdowns. Here, we studied the concentrations of particulate matter (PM SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10311-021-01327-3.

Indexed as

Black carbonCOVID-19LockdownSpatial correlationYangtze River Delta

Identifiers

PMID34566549
PMCPMC8454011

What OpenQuestion holds

Textmetadata
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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.