Evidence map›Paper›PMID 35600237›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2022

The Heavy Particulate Matter Pollution During the COVID-19 Lockdown Period in the Guanzhong Basin, China.

Xia Li, Naifang Bei, Jiarui Wu, Suixin Liu, Qiyuan Wang, Jie Tian, Lang Liu, Ruonan Wang, Guohui Li

Abstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Xia LiKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Naifang BeiSchool of Human Settlements and Civil Engineering Xi'an Jiaotong University Xi'an China.
Jiarui WuKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Suixin LiuKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Qiyuan WangKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.ORCID https://orcid.org/0000-0003-2529-6226
Jie TianKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Lang LiuKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Ruonan WangKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.
Guohui LiKey Lab of Aerosol Chemistry and Physics, SKLLQG Institute of Earth Environment, Chinese Academy of Sciences Xi'an China.ORCID https://orcid.org/0000-0001-8868-7123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nationwide restrictions on human activities (lockdown) in China since 23 January 2020, to control the 2019 novel coronavirus disease pandemic (COVID-19), has provided an opportunity to evaluate the effect of emission mitigation on particulate matter (PM) pollution. The WRF-Chem simulations of persistent heavy PM pollution episodes from 20 January to 14 February 2020, in the Guanzhong Basin (GZB), northwest China, reveal that large-scale emission reduction of primary pollutants has not substantially improved the air quality during the COVID-19 lockdown period. Simultaneous reduction of primary precursors during the lockdown period only decreases the near-surface PM

Indexed as

atmospheric oxidizing capacityCOVID‐19Guanzhong basinparticulate matter pollutionsecondary aerosols

Identifiers

PMID35600237
PMCPMC9111303

What OpenQuestion holds

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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.