Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction.

Heng Yao, Lingchen Wang, Yalin Liu, Jingcheng Zhou, Jiawei Lu

Abstract read

In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Change in the air due to the coronavirus outbreak in four major cities of India: What do the statistics say?Journal of hazardous materials advances · 2023
Article

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.

Heng YaoDepartment of Environmental Science and Engineering, School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.

Lingchen WangDepartment of Environmental Science and Engineering, School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.

Yalin LiuDepartment of Environmental Science and Engineering, School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.

Jingcheng ZhouDepartment of Environmental Science and Engineering, School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.

Jiawei LuSouth China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preliminary studies have confirmed that ambient air pollutant concentrations are significantly influenced by the COVID-19 lockdown measures, but little attention focus on the long term impacts of human countermeasures in cities all over the world during the period. Still, fewer have addressed their other essential properties, especially the cyclical response to concentration reduction. This paper aims to fill the gaps with combined methods of abrupt change test and wavelet analysis, research areas were made of five cities, Wuhan, Changchun, Shanghai, Shenzhen and Chengdu, in China. Abrupt changes in contaminant concentrations commonly occurred in the year prior to the outbreak. The lockdown has almost no effect on the short cycle below 30 d (days) for both pollutants, and a negligible impact on the cycle above 30 d. PM

Indexed as

Abrupt changeOzonePeriodicityPM2.5Wavelet analysis

Identifiers

PMID37153417

DOI10.1016/j.heliyon.2023.e15799

PMCPMC10152760

What OpenQuestion holds

Textmetadata

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.