Evidence map›Paper›PMID 37159819›Full record

ArticleRemote sensing of environment2023

Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities.

Qingyan Meng, Jiangkang Qian, Uwe Schlink, Linlin Zhang, Xinli Hu, Jianfeng Gao, Qiao Wang

Open access · greenAbstract read
In one paragraph

Article in Remote sensing of environment, 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
2.7field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 22 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 2 countries.

Qingyan MengAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Jiangkang QianAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Uwe SchlinkDepartment of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, Leipzig D-04318, Germany.
Linlin ZhangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Xinli HuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Jianfeng GaoAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Qiao WangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Chinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNAerospace Information Research Institute · CNBeijing Normal University · CNHelmholtz Centre for Environmental Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic heat (AH) is an important input for the urban thermal environment. While reduction in AH during the Coronavirus disease 2019 (COVID-19) pandemic may have weakened urban heat islands (UHI), quantitative assessments on this are lacking. Here, a new AH estimation method based on a remote sensing surface energy balance (RS-SEB) without hysteresis from heat storage was proposed to clarify the effects of COVID-19 control measures on AH. To weaken the impact of shadows, a simple and novel calibration method was developed to estimate the SEB in multiple regions and periods. To overcome the hysteresis of AH caused by heat storage, RS-SEB was combined with an inventory-based model and thermal stability analysis framework. The resulting AH was consistent with the latest global AH dataset and had a much higher spatial resolution, providing objective and refined features of human activities during the pandemic. Our study of four Chinese megacities (Wuhan, Shanghai, Beijing, and Guangzhou) indicated that COVID-19 control measures severely restricted human activities and notably reduced AH. The reduction was up to 50% in Wuhan during the lockdown in February 2020 and gradually decreased after the lockdown was eased in April 2020, similar to that in Shanghai during the Level 1 pandemic response. In contrast, AH was less reduced in Guangzhou during the same period and increased in Beijing owing to extended central heating use in winter. AH decreased more in urban centers and the change in AH varied in terms of urban land use between cities and periods. Although UHI changes during the COVID-19 pandemic cannot be entirely attributed to AH changes, the considerable reduction in AH is an important feature accompanying the weakening of the UHI.

Indexed as

Anthropogenic heatCOVID-19 controlHysteresis from heat storageSurface energy balanceUrban thermal environment

Identifiers

PMID37159819
PMCPMC10130332
OpenAlexW4367056158

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.