About: Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak

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About: Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
Creator	Wang, Pengfei Wang, Peng Chen, Kaiyu Zhang, Hongliang Zhu, Shengqiang
Source	Elsevier; Medline; PMC
abstract	Abstract Due to the pandemic of coronavirus disease 2019 in China, almost all avoidable activities in China are prohibited since Wuhan announced lockdown on January 23, 2020. With reduced activities, severe air pollution events still occurred in the North China Plain, causing discussions regarding why severe air pollution was not avoided. The Community Multi-scale Air Quality model was applied during January 01 to February 12, 2020 to study PM2.5 changes under emission reduction scenarios. The estimated emission reduction case (Case 3) better reproduced PM2.5. Compared with the case without emission change (Case 1), Case 3 predicted that PM2.5 concentrations decreased by up to 20% with absolute decreases of 5.35, 6.37, 9.23, 10.25, 10.30, 12.14, 12.75, 14.41, 18.00 and 30.79 μg/m3 in Guangzhou, Shanghai, Beijing, Shijiazhuang, Tianjin, Jinan, Taiyuan, Xi'an, Zhengzhou, Wuhan, respectively. In high-pollution days with PM2.5 greater than 75 μg/m3, the reductions of PM2.5 in Case 3 were 7.78, 9.51, 11.38, 13.42, 13.64, 14.15, 14.42, 16.95 and 22.08 μg/m3 in Shanghai, Jinan, Shijiazhuang, Beijing, Taiyuan, Xi'an, Tianjin, Zhengzhou and Wuhan, respectively. The reductions in emissions of PM2.5 precursors were ~2 times of that in concentrations, indicating that meteorology was unfavorable during simulation episode. A further analysis shows that benefits of emission reductions were overwhelmed by adverse meteorology and severe air pollution events were not avoided. This study highlights that large emissions reduction in transportation and slight reduction in industrial would not help avoid severe air pollution in China, especially when meteorology is unfavorable. More efforts should be made to completely avoid severe air pollution.
has issue date	2020-07-31(xsd:dateTime)
bibo:doi	10.1016/j.resconrec.2020.104814
bibo:pmid	32300261
has license	els-covid
sha1sum (hex)	6745fcdc12bbfbbf794cd405dfe10f96ab53e6d2
schema:url	https://doi.org/10.1016/j.resconrec.2020.104814
resource representing a document's title	Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
has PubMed Central identifier	PMC7151380
has PubMed identifier	32300261
schema:publication	Resources, Conservation and Recycling
resource representing a document's body	covid:6745fcdc12bbfbbf794cd405dfe10f96ab53e6d2#body_text
is schema:about of	named entity 'anthropogenic' named entity 'air pollution' named entity 'atmospheric stability' named entity 'Shandong' named entity 'China' named entity 'Han' named entity 'CMAQ' named entity 'MM5' named entity 'Hubei' named entity 'Aerosols' named entity 'PM 2.5' named entity 'Jinan' named entity 'air pollutant' named entity 'health outcomes' named entity 'Hubei' named entity 'Recycling' named entity 'February 10' named entity 'air quality' named entity 'Henan' named entity 'CMAQ' named entity 'Shanghai' named entity 'PM 2.5' named entity 'BTH' named entity 'PBL' named entity 'Guangzhou' named entity 'meteorology' named entity 'emission reduction' named entity 'PM 2.5' named entity 'PM 2.5' named entity 'PBL' named entity 'human activities' named entity 'nitrate' named entity 'severe pollution' named entity 'Recycling' named entity 'emission reduction' named entity 'Wuhan' named entity 'meteorology' named entity 'PM 2.5' named entity 'Wuhan' named entity 'CCTV' named entity '2015 China Victory Day Parade' named entity 'Zhengzhou' named entity 'Shanghai' named entity 'sanity check' named entity 'Wuhan' named entity 'Wuhan' named entity '40%' named entity 'anthropogenic' named entity 'Wuhan' named entity 'Shijiazhuang' named entity 'SOA' named entity 'Guangzhou' named entity 'CCTV' named entity 'EPA' named entity 'Beijing' named entity 'China' named entity 'BTH' named entity 'SOA' named entity 'emissions reduction' named entity 'Guangzhou' named entity 'China' named entity 'YRD' named entity 'particulate pollution' named entity 'air pollutants' named entity 'air pollution' named entity '20%' named entity 'Tsinghua University' named entity 'Beijing' named entity 'Wuhan' named entity 'Han' named entity 'Asia-Pacific Economic Cooperation' named entity 'biomass burning' named entity 'Wuhan' named entity 'EPA' named entity 'anthropogenic' named entity 'PM 2.5' named entity 'Shanghai'

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