Evidence map›Paper›PMID 34454149›Full record

ArticleThe Science of the total environment2022

COVID-19 lockdown improved river water quality in China.

Dong Liu, Hong Yang, Julian R Thompson, Junli Li, Steven Loiselle, Hongtao Duan

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 71 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Dong LiuKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Hong YangState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; Department of Geography and Environmental Science, University of Reading, Whiteknights, Reading RG6 6AB, UK.
Julian R ThompsonUCL Department of Geography, University College London, London WC1E 6BT, UK.
Junli LiState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Steven LoiselleDipartimento di Biotecnologie, Chimica e Farmacia, CSGI, University of Siena, 53100 Siena, Italy.
Hongtao DuanKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China. Electronic address: htduan@niglas.ac.cn.
Chinese Academy of Sciences · CNNanjing Institute of Geography and Limnology · CNUniversity College London · GBUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impacts of COVID-19 lockdowns on air quality around the world have received wide attention. In comparison, assessments of the implications for water quality are relatively rare. As the first country impacted by COVID-19, China implemented local and national lockdowns that shut down industries and businesses between January and May 2020. Based on monthly field measurements (N = 1693) and daily automonitoring (N = 65), this study analyzed the influence of the COVID-19 lockdown on river water quality in China. The results showed significant improvements in river water quality during the lockdown period but out-of-step improvements for different indicators. Reductions in ammonia nitrogen (NH

Indexed as

Air PollutantsAir PollutionCOVID-19ChinaCommunicable Disease ControlEcosystemEnvironmental MonitoringHumansParticulate MatterRiversSARS-CoV-2Water QualityAir PollutantsParticulate MatterChinaCOVID-19LockdownSpatiotemporal variationsWater quality

Identifiers

PMID34454149
PMCPMC8526986
OpenAlexW3190145423

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.