Evidence map›Paper›PMID 36639012›Full record

ArticleEnvironmental research2023

Why did air quality experience little improvement during the COVID-19 lockdown in megacities, northeast China?

Donglei Fu, Xiaofei Shi, Jinxiang Zuo, Stephen Dauda Yabo, Jixiang Li, Bo Li, Haizhi Li, Lu Lu, Bo Tang, Hong Qi and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 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.

  1. Observational
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

11 authors.

Donglei FuState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; College of Urban and Environmental Sciences, Peking University, Beijing, 100091, China.
Xiaofei ShiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; CASIC Intelligence Industry Development Co., Ltd, 50 Yongding Road, Beijing, 100089, China.
Jinxiang ZuoState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China.
Stephen Dauda YaboState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China.
Jixiang LiCollege of Urban and Environmental Sciences, Peking University, Beijing, 100091, China.
Bo LiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China.
Haizhi LiHeilongjiang Provincial Ecological and Environmental Monitoring Center, 2 Weixing Road, Harbin, Heilongjiang, 150000, China.
Lu LuState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China.
Bo TangState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China.
Hong QiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China; Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem, 73 Huanghe Road, Harbin, Heilongjiang, 150000, China. Electronic address: hongqi@hit.edu.cn.
Jianmin MaCollege of Urban and Environmental Sciences, Peking University, Beijing, 100091, China. Electronic address: jmma@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To inhibit the COVID-19 (Coronavirus disease 2019) outbreak, unprecedented nationwide lockdowns were implemented in China in early 2020, resulting in a marked reduction of anthropogenic emissions. However, reasons for the insignificant improvement in air quality in megacities of northeast China, including Shenyang, Changchun, Jilin, Harbin, and Daqing, were scarcely reported. We assessed the influences of meteorological conditions and changes in emissions on air quality in the five megacities during the COVID-19 lockdown (February 2020) using the WRF-CMAQ model. Modeling results indicated that meteorology contributed a 14.7% increment in Air Quality Index (AQI) averaged over the five megacities, thus, the local unfavorable meteorology was one of the causes to yield little improved air quality. In terms of emission changes, the increase in residential emissions (+15%) accompanied by declining industry emissions (-15%) and transportation (-90%) emissions resulted in a slight AQI decrease of 3.1%, demonstrating the decrease in emissions associated with the lockdown were largely offset by the increment in residential emissions. Also, residential emissions contributed 42.3% to PM

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaCitiesCommunicable Disease ControlEnvironmental MonitoringHumansParticulate MatterAir PollutantsParticulate MatterAir qualityCOVID-19EmissionMeteorologyNortheast China

Identifiers

PMID36639012
PMCPMC9830900

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.