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Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities.
Mijani, Naeim; Karimi Firozjaei, Mohammad; Mijani, Moein; Khodabakhshi, Adeleh; Qureshi, Salman; Jokar Arsanjani, Jamal; Kazem Alavipanah, Seyed.
  • Mijani N; Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran.
  • Karimi Firozjaei M; Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran.
  • Mijani M; Department of Geography and Urban planning, Faculty of Geography, Payame Noor University of Isfahan, Isfahan, Iran.
  • Khodabakhshi A; Department of Nutrition, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
  • Qureshi S; Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran.
  • Jokar Arsanjani J; Institute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany.
  • Kazem Alavipanah S; Geoinformatics Research Group, Department of Planning and Development, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark.
Adv Space Res ; 2022 Sep 28.
Article in English | MEDLINE | ID: covidwho-2243344
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal subject: Aerospace Medicine Year: 2022 Document Type: Article Affiliation country: J.asr.2022.09.052

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal subject: Aerospace Medicine Year: 2022 Document Type: Article Affiliation country: J.asr.2022.09.052