Evidence map›Paper›PMID 34584487›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2021

Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions.

Xiuyong Zhao, Gang Wang, Sheng Wang, Na Zhao, Ming Zhang, Wenqi Yue

Abstract read
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2023
    Article
  3. Article
  4. Article
  5. Spatial Characteristics and Regional Transmission Analysis of PMInternational journal of environmental research and public health · 2021
    Article
  6. 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

6 authors.

Xiuyong ZhaoNational Environmental Protection Research Institute for Electric Power Co., Ltd. State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, Nanjing 210031, China.
Gang WangDepartment of Environmental and Safety Engineering, College of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China.
Sheng WangNational Environmental Protection Research Institute for Electric Power Co., Ltd. State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, Nanjing 210031, China.
Na ZhaoShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
Ming ZhangNational Environmental Protection Research Institute for Electric Power Co., Ltd. State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, Nanjing 210031, China.
Wenqi YueDepartment of Environmental Art Engineering, Nanjing Technical Vocational College, Nanjing 210019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) spread rapidly worldwide in the first half of 2020. Stringent national lockdown policies imposed by China to prevent the spread of the virus reduced anthropogenic emissions and improved air quality. A weather research and forecasting model coupled with chemistry was applied to evaluate the impact of meteorology and emissions on air quality during the COVID-19 outbreak (from January 23 to February 29, 2020) in mid-eastern China. The results show that air pollution episodes still occurred on polluted days and accounted for 31.6%-60.5% of the total number of outbreak days in mid-eastern China from January 23 to February 29, 2020. However, anthropogenic emissions decreased significantly, indicating that anthropogenic emission reduction cannot completely offset the impact of unfavorable meteorological conditions on air quality. Favorable meteorological conditions in 2019 improved the overall air quality for a COVID-19 outbreak in 2019 instead of 2020. PM

Indexed as

Emission reductionMeteorological conditionPM2.5Source apportionmentWRF/Chem

Identifiers

PMID34584487
PMCPMC8461319

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.