About: Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation

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About: Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation
Creator	Li, Qing Wang, Qian Li, Li Li, Hongli Li, Rui Xu, Jian Liu, Zhiqiang Zhang, Kun Chan, Andy Huang, Ling Zhu, Yonghui Chel, Maggie Liu, Ziyi Ooi, Gee Wang, Yangjun Zhang, Dongping Azari, Majid Shi, Lishu Xue, Shuhui Zhang, Xiaojuan Zhu, Ansheng
topic	covid:74d33cb7e1dfbff481807a161b4963d8d2e3ba4e#this
Source	Elsevier; Medline; PMC
abstract	Abstract The outbreak of COVID-19 has spreaded rapidly across the world. To control the rapid dispersion of the virus, China has imposed national lockdown policies to practise social distancing. This has led to reduced human activities and hence primary air pollutant emissions, which caused improvement of air quality as a side-product. To investigate the air quality changes during the COVID-19 lockdown over the YRD Region, we apply the WRF-CAMx modelling system together with monitoring data to investigate the impact of human activity pattern changes on air quality. Results show that human activities were lowered significantly during the period: industrial operations, VKT, constructions in operation, etc. were significantly reduced, leading to lowered SO2, NO x , PM2.5 and VOCs emissions by approximately 16–26%, 29–47%, 27–46% and 37–57% during the Level I and Level II response periods respectively. These emission reduction has played a significant role in the improvement of air quality. Concentrations of PM2.5, NO2 and SO2 decreased by 31.8%, 45.1% and 20.4% during the Level I period; and 33.2%, 27.2% and 7.6% during the Level II period compared with 2019. However, ozone did not show any reduction and increased greatly. Our results also show that even during the lockdown, with primary emissions reduction of 15%–61%, the daily average PM2.5 concentrations range between 15 and 79 μg m−3, which shows that background and residual pollutions are still high. Source apportionment results indicate that the residual pollution of PM2.5 comes from industry (32.2–61.1%), mobile (3.9–8.1%), dust (2.6–7.7%), residential sources (2.1–28.5%) in YRD and 14.0–28.6% contribution from long-range transport coming from northern China. This indicates that in spite of the extreme reductions in primary emissions, it cannot fully tackle the current air pollution. Re-organisation of the energy and industrial strategy together with trans-regional joint-control for a full long-term air pollution plan need to be further taken into account.
has issue date	2020-05-11(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2020.139282
bibo:pmid	32413621
has license	els-covid
sha1sum (hex)	74d33cb7e1dfbff481807a161b4963d8d2e3ba4e
schema:url	https://doi.org/10.1016/j.scitotenv.2020.139282
resource representing a document's title	Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation
has PubMed Central identifier	PMC7211667
has PubMed identifier	32413621
schema:publication	Sci Total Environ
resource representing a document's body	covid:74d33cb7e1dfbff481807a161b4963d8d2e3ba4e#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/74d33cb7e1dfbff481807a161b4963d8d2e3ba4e
is schema:about of	named entity 'China' named entity 'energy' named entity 'Our' named entity 'Level I' named entity 'reductions' named entity 'human' named entity 'activities' named entity 'air quality' named entity 'COVID-19' named entity 'activity' named entity 'air pollution' named entity 'EMISSION' named entity 'APPLY' named entity 'MONITORING' named entity 'PROOF' named entity 'PLAYED' named entity 'RAPIDLY' named entity 'SPREADED' named entity 'COMPARED' named entity 'FULLY' named entity 'CHINA' named entity 'ORGANISATION' named entity 'OPERATIONS' named entity 'RESPONSE' named entity 'N A' named entity 'AIR QUALITY' named entity 'IMPROVEMENT' covid:arg/74d33cb7e1dfbff481807a161b4963d8d2e3ba4e named entity 'lockdown' named entity 'industrial' named entity 'However' named entity 'COVID-19' named entity 'air pollution' named entity 'Level I' named entity 'plan' named entity 'concentrations' named entity 'This' named entity 'compared' named entity 'primary' named entity 'PM 2.5' named entity 'mobile' named entity 'PM 2.5' named entity 'activity' named entity 'period' named entity 'industrial' named entity 'activity' named entity 'COVID-19' named entity 'long-term' named entity 'China' named entity 'Air quality' named entity 'Yangtze River Delta' named entity 'COVID' named entity 'strategy' named entity 'Results' named entity 'Nanjing' named entity 'Shanghai' named entity 'NASA' named entity 'YRD' named entity 'titration'

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