NO
Air quality
Construction materials
Environmental variables
Heterogeneous photocatalysis
Machine learning
NO(x) removal efficiency
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
01 Jun 2020
01 Jun 2020
Historique:
received:
07
11
2019
revised:
18
02
2020
accepted:
19
02
2020
pubmed:
11
3
2020
medline:
11
3
2020
entrez:
11
3
2020
Statut:
ppublish
Résumé
Photocatalytic technology implemented in construction materials is a promising solution to contribute to alleviate air quality issues found in big cities. Photocatalysis has been proved able to mineralise most harmful contaminants. However, important problems associated with monitoring the efficiency of these solutions under real conditions still remain, including the lack of affordable analytical tools to measure NO
Identifiants
pubmed: 32151396
pii: S0048-9697(20)30969-4
doi: 10.1016/j.scitotenv.2020.137459
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
137459Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest