Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic.
Journal
Stochastic environmental research and risk assessment : research journal
ISSN: 1436-3240
Titre abrégé: Stoch Environ Res Risk Assess
Pays: Germany
ID NLM: 101473235
Informations de publication
Date de publication:
2022
2022
Historique:
accepted:
24
07
2021
pubmed:
31
8
2021
medline:
31
8
2021
entrez:
30
8
2021
Statut:
ppublish
Résumé
Faced with novel coronavirus outbreak, the most hard-hit countries adopted a lockdown strategy to contrast the spread of virus. Many studies have already documented that the COVID-19 control actions have resulted in improved air quality locally and around the world. Following these lines of research, we focus on air quality changes in the urban territory of Chieti-Pescara (Central Italy), identified as an area of criticality in terms of air pollution. Concentrations of
Identifiants
pubmed: 34456623
doi: 10.1007/s00477-021-02071-4
pii: 2071
pmc: PMC8383262
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1083-1101Informations de copyright
© The Author(s) 2021.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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