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评估 COVID-19 大流行对加拿大城市交通和空气质量的影响。

Assessing the impact of COVID-19 pandemic on urban transportation and air quality in Canada.

机构信息

Department of Building, Civil and Environmental Engineering, Concordia University, Montréal H3G 1M8, Canada.

Department of Building, Civil and Environmental Engineering, Concordia University, Montréal H3G 1M8, Canada.

出版信息

Sci Total Environ. 2021 Apr 15;765:144270. doi: 10.1016/j.scitotenv.2020.144270. Epub 2020 Dec 24.

DOI:10.1016/j.scitotenv.2020.144270
PMID:33401062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9757142/
Abstract

The global outbreak and spread of COVID-19 had a significant impact on the environment of urban areas. This study aimed to provide a new insight into the urban transportation and air pollutant emission of representative Canadian cities impacted by this pandemic. The consumption of urban transportation fuel was analyzed and the corresponding CO emissions was evaluated. The changes in urban traffic volume and air pollutant concentrations before and after the outbreak of this pandemic was investigated. Due to the lockdown after the outbreak of COVID-19, the domestic consumption of motor gasoline and estimated CO emissions from urban vehicles in Canada has continuously decreased with a lowest level in April 2020, and rebounded in May 2020. It will still take a long time to recover to pre-pandemic levels because of the upcoming second wave of pandemic and further change. The Air Quality Health Index (AQHI), level of urban congestion and concentration level of NO and CO had strong relevance with the COVID-19 period while SO did not show significant relation. The comprehensive analysis of changing fuel consumptions, traffic volume and emission levels can help the government assess the impact and make corresponding strategy for such a pandemic in the future.

摘要

COVID-19 在全球范围内的爆发和传播对城市环境产生了重大影响。本研究旨在为受这一大流行病影响的代表性加拿大城市的城市交通和空气污染物排放提供新的见解。分析了城市交通燃料的消耗,并评估了相应的 CO 排放。调查了大流行爆发前后城市交通量和空气污染物浓度的变化。由于 COVID-19 爆发后的封锁,加拿大国内汽车汽油消费和城市车辆估计 CO 排放量持续下降,2020 年 4 月达到最低水平,并于 2020 年 5 月反弹。由于即将到来的第二波大流行和进一步的变化,要恢复到大流行前的水平还需要很长时间。空气质量健康指数(AQHI)、城市拥堵程度和 NO 和 CO 的浓度水平与 COVID-19 期间具有很强的相关性,而 SO 则没有显示出显著的相关性。对燃料消耗、交通量和排放水平变化的综合分析可以帮助政府评估此类大流行病的影响,并为未来制定相应的策略。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/ea78e1acf21a/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/8ed27418a455/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/f6d8924ee89e/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/184a4eea0715/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/cff5e1464e64/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/9efffb1e3eb3/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/9f073c61c107/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/c3f5b5714475/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/0cfe7269a4af/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/d09faf6298ae/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/6218fbeecb4c/gr11_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7953/9757142/0dc1f96dcbe7/gr12_lrg.jpg

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