Evidence map›Paper›PMID 33182196›Full record

ArticleThe Science of the total environment2021

Impact of emission reductions and meteorology changes on atmospheric mercury concentrations during the COVID-19 lockdown.

Qingru Wu, Yi Tang, Long Wang, Shuxiao Wang, Deming Han, Daiwei Ouyang, Yueqi Jiang, Peng Xu, Zhigang Xue, Jingnan Hu

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

10 authors at 3 institutions in 1 country.

Qingru WuState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
Yi TangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Long WangGuangdong Provincial Academy of Environmental Science, Guangdong Provincial Environmental Protection Key Laboratory of Atmospheric Environment Management and Policy Simulation, Guangzhou 510045, China.
Shuxiao WangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China. Electronic address: shxwang@tsinghua.edu.cn.
Deming HanState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Daiwei OuyangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Yueqi JiangState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Peng XuChinese Research Academy of Environmental Sciences, Beijing 100012, China.
Zhigang XueChinese Research Academy of Environmental Sciences, Beijing 100012, China.
Jingnan HuChinese Research Academy of Environmental Sciences, Beijing 100012, China.
State Key Joint Laboratory of Environment Simulation and Pollution Control · CNChinese Research Academy of Environmental Sciences · CNGuangdong Provincial Academy of Environmental Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling anthropogenic mercury emissions is an ongoing effort and the effect of atmospheric mercury mitigation is expected to be impacted by accelerating climate change. The lockdown measures to restrict the spread of Coronavirus Disease 2019 (COVID-19) and the following unfavorable meteorology in Beijing provided a natural experiment to examine how air mercury responds to strict control measures when the climate becomes humid and warm. Based on a high-time resolution emission inventory and generalized additive model, we found that air mercury concentration responded almost linearly to the changes in mercury emissions when excluding the impact of other factors. Existing pollution control and additional lockdown measures reduced mercury emissions by 16.7 and 12.5 kg/d during lockdown, respectively, which correspondingly reduced the concentrations of atmospheric mercury by 0.10 and 0.07 ng/m

Indexed as

Air PollutantsAir PollutionCoronavirusCoronavirus InfectionsMercuryPandemicsPneumonia, ViralBeijingBetacoronavirusChinaCOVID-19Environmental MonitoringHumansMeteorologySARS-CoV-2Air PollutantsMercuryAtmospheric mercuryCOVID-19Emission reductionMeteorology change

Identifiers

PMID33182196
PMCPMC7483037
OpenAlexW3084179267

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.