Impact of Reduced Anthropogenic Emissions Associated With COVID-19 Lockdown on PM2.5 Concentration and Canopy Urban Heat Island in Canada

被引:0
作者
Ashraf, Samaneh [1 ,2 ,3 ]
Pausata, Francesco S. R. [2 ,3 ]
Leroyer, Sylvie [4 ]
Stevens, Robin [1 ,5 ]
Munoz-Alpizar, Rodrigo [6 ]
机构
[1] Univ Montreal UdeM, Dept Chem, Montreal, PQ, Canada
[2] Univ Quebec Montreal UQAM, Ctr ESCER Etude & Simulat Climat Echelle Reg, Dept Earth & Atmospher Sci, Montreal, PQ, Canada
[3] Univ Quebec Montreal UQAM, GEOTOP Res Ctr Earth Syst Dynam, Dept Earth & Atmospher Sci, Montreal, PQ, Canada
[4] Environm & Climate Change Canada, Meteorol Res Div, Montreal, PQ, Canada
[5] Environm & Climate Change Canada, Climate Res Div, Victoria, BC, Canada
[6] Environm & Climate Change Canada, Meteorol Serv Canada, Montreal, PQ, Canada
来源
GEOHEALTH | 2025年 / 9卷 / 02期
基金
加拿大自然科学与工程研究理事会;
关键词
AIR-POLLUTION; AEROSOLS; SURFACE; MODEL; SATELLITE; CHEMISTRY; QUALITY; GASES;
D O I
10.1029/2023GH000975
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Extensive lockdowns during the COVID-19 pandemic caused a remarkable decline in human activities that have influenced urban climate, especially air quality and urban heat islands. However, the impact of such changes on local climate based on long term ground-level observations has hitherto not been investigated. Using air pollution measurements for the four major Canadian metropolitan areas (Toronto, Montreal, Vancouver, and Calgary), we find that PM2.5 markedly decreased during and after lockdowns with peak reduction ranging between 42% and 53% relative to the 2000-2019 reference period. Moreover, we show a substantial decline in canopy urban heat island intensity during lockdown and in the post lockdowns periods with peak reduction ranging between 0.7 degrees C and 1.6 degrees C in comparison with the 20-year preceding period. The results of this study may provide insights for local policymakers to define the regulation strategies to facilitate air quality improvement in urban areas.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Impact of COVID-19 on PM2.5 Pollution in Fastest-Growing Megacity Dhaka, Bangladesh
    Sarkar, Showmitra Kumar
    Khan, Md Mehedi Hasan
    DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2023, 16 (06) : 2339 - 2342
  • [32] Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India
    Das, Manob
    Das, Arijit
    Sarkar, Raju
    Saha, Sunil
    Mandal, Ashis
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (06) : 1301 - 1317
  • [33] On the Relevancy of Observed Ozone Increase during COVID-19 Lockdown to Summertime Ozone and PM2.5 Control Policies in China
    Kang, Mingjie
    Zhang, Jie
    Zhang, Hongliang
    Ying, Qi
    ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2021, 8 (04) : 289 - 294
  • [34] PM2.5 bound species variation and source characterization in the post-lockdown period of the Covid-19 pandemic in Delhi
    Faisal, Mohd
    Hazarika, Naba
    Ganguly, Dilip
    Kumar, Mayank
    Singh, Vikram
    URBAN CLIMATE, 2022, 46
  • [35] Impact of COVID-19 lockdown on NO2, O3, PM2.5 and PM10 concentrations and assessing air quality changes in Baghdad, Iraq
    Hashim, Bassim Mohammed
    Al-Naseri, Saadi K.
    Al-Maliki, Ali
    Al-Ansari, Nadhir
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 754
  • [36] Process-Level Quantification on Opposite PM2.5 Changes during the COVID-19 Lockdown over the North China Plain
    Chen, Lei
    Liao, Hong
    Li, Ke
    Zhu, Jia
    Long, Ziyu
    Yue, Xu
    Yang, Yang
    Zhang, Meigen
    ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2023, 10 (09) : 779 - 785
  • [37] Impacts of Changes in Meteorological Conditions During COVID-19 Lockdown on PM2.5 Concentrations over the Jing-Jin-Ji Region
    Qiu Y.-L.
    Chen L.
    Zhu J.
    Ma Z.-Q.
    Li Z.-M.
    Guo H.
    Tang Y.-X.
    Huanjing Kexue/Environmental Science, 2022, 43 (06): : 2831 - 2839
  • [38] Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven Machine Learning Model
    Li, Qiulun
    Zhu, Qingyang
    Xu, Muwu
    Zhao, Yu
    Narayan, K. M. Venkat
    Liu, Yang
    REMOTE SENSING, 2021, 13 (07)
  • [39] Assessing the relationship between surface levels of PM2.5 and PM10 particulate matter impact on COVID-19 in Milan, Italy
    Zoran, Maria A.
    Savastru, Roxana S.
    Savastru, Dan M.
    Tautan, Marina N.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 738
  • [40] PM2.5 Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods
    Kotsiou, Ourania S.
    Kotsios, Vaios S.
    Lampropoulos, Ioannis
    Zidros, Thomas
    Zarogiannis, Sotirios G.
    Gourgoulianis, Konstantinos, I
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (10)