Evidence map›Paper›PMID 35973498›Full record

ArticleChemosphere2022

Impact of COVID-19 lockdown on carbonaceous aerosols in a polluted city: Composition characterization, source apportionment, influence factors of secondary formation.

Zhe Dong, Shenbo Wang, Jiabin Sun, Luqi Shang, Zihan Li, Ruiqin Zhang

Abstract read
In one paragraph

Article in Chemosphere, 2022. 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

6 authors.

Zhe DongCollege of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Shenbo WangSchool of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Jiabin SunCollege of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Luqi ShangSchool of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Zihan LiSchool of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Ruiqin ZhangSchool of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China. Electronic address: rqzhang@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbonaceous fractions throughout the normal period and lockdown period (LP) before and during COVID-19 outbreak were analyzed in a polluted city, Zhengzhou, China. During LP, fine particulate matters, elemental carbon (EC), and secondary organic aerosol (SOC) concentrations fell significantly (29%, 32% and 21%), whereas organic carbon (OC) only decreased by 4%. Furthermore, the mean OC/EC ratio increased (from 3.8 to 5.4) and the EC fractions declined dramatically, indicating a reduction in vehicle emission contribution. The fact that OC1-3, EC, and EC1 had good correlations suggested that OC1-3 emanated from primary emissions. OC4 was partly from secondary generation, and increased correlations of OC4 with OC1-3 during LP indicated a decrease in the share of SOC. SOC was more impacted by NO

Indexed as

Air PollutantsCOVID-19CarbonChinaCitiesCoalCommunicable Disease ControlEnvironmental MonitoringGasolineHumansNitrogen DioxideParticulate MatterRespiratory Aerosols and DropletsSeasonsVehicle EmissionsAir PollutantsCarbonCoalGasolineNitrogen DioxideParticulate MatterVehicle EmissionsCarbonaceous fractionsCOVID-19Positive matrix factorization (PMF) modelSecondary organic carbon

Identifiers

PMID35973498
PMCPMC9375178

What OpenQuestion 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 OpenQuestion graph.