Evidence map›Paper›PMID 36186546›Full record

ArticleAdvances in space research : the official journal of the Committee on Space Research (COSPAR)2023

Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities.

Naeim Mijani, Mohammad Karimi Firozjaei, Moein Mijani, Adeleh Khodabakhshi, Salman Qureshi, Jamal Jokar Arsanjani, Seyed Kazem Alavipanah

Open access · bronzeAbstract read
In one paragraph

Article in Advances in space research : the official journal of the Committee on Space Research (COSPAR), 2023. 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
1.7field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 21 citations in OpenAlex.

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

7 authors at 5 institutions in 3 countries.

Naeim MijaniDepartment of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran.
Mohammad Karimi FirozjaeiDepartment of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran.
Moein MijaniDepartment of Geography and Urban planning, Faculty of Geography, Payame Noor University of Isfahan, Isfahan, Iran.
Adeleh KhodabakhshiDepartment of Nutrition, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
Salman QureshiInstitute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany.
Jamal Jokar ArsanjaniGeoinformatics Research Group, Department of Planning and Development, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark.
Seyed Kazem AlavipanahDepartment of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran.
University of Tehran · IRAalborg University · DKHumboldt-Universität zu Berlin · DEKerman University of Medical Sciences · IRPayame Noor University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pandemic has had a major impact on our society, environment and public health, in both positive and negative ways. The main aim of this study is to monitor the effect of COVID-19 pandemic lockdowns on urban cooling. To do so, satellite images of Landsat 8 for Milan and Rome in Italy, and Wuhan in China were used to look at pre-lockdown and during the lockdown. First, the surface biophysical characteristics for the pre-lockdown and within-lockdown dates of COVID-19 were calculated. Then, the land surface temperature (LST) retrieved from Landsat thermal data was normalized based on cold pixels LST and statistical parameters of normalized LST (NLST) were calculated. Thereafter, the correlation coefficient (r) between the NLST and index-based built-up index (IBI) was estimated. Finally, the surface urban heat island intensity (SUHII) of different cities on the lockdown and pre-lockdown periods was compared with each other. The mean NLST of built-up lands in Milan (from 7.71 °C to 2.32 °C), Rome (from 5.05 °C to 3.54 °C) and Wuhan (from 3.57 °C to 1.77 °C) decreased during the lockdown dates compared to pre-lockdown dates. The r (absolute value) between NLST and IBI for Milan, Rome and Wuhan decreased from 0.43, 0.41 and 0.16 in the pre-lockdown dates to 0.25, 0.24, and 0.12 during lockdown dates respectively, which shows a large decrease for all cities. Analysis of SUHI for these cities showed that SUHII during the lockdown dates compared to pre-lockdown dates decreased by 0.89 °C, 1.78 °C, and 1.07 °C respectively. The results indicated a high and substantial impact of anthropogenic activities and anthropogenic heat flux (AHF) on the SUHI due to the substantial reduction of huge anthropogenic pressure in cities. Our conclusions draw attention to the contribution of COVID-19 lockdowns (reducing the anthropogenic activities) to creating cooler cities.

Indexed as

Anthropogenic heat fluxCool citiesCOVID-19LockdownRemote sensingSurface urban heat island intensity

Identifiers

PMID36186546
PMCPMC9514961
OpenAlexW4297538078

What OpenQuestion holds

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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.