Assessment of removal rate coefficient in vertical flow constructed wetland employing machine learning for low organic loaded systems.
Kikuth kinetic approach
Low organic loading vertical flow constructed wetland
Remediation efficiency
Removal rate coefficient
Journal
Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
31
01
2023
revised:
13
03
2023
accepted:
14
03
2023
medline:
3
4
2023
pubmed:
20
3
2023
entrez:
19
3
2023
Statut:
ppublish
Résumé
Secondary datasets of 42 low organic loading Vertical flow constructed wetlands (LOLVFCWs) were assessed to optimize their area requirements for N and P (nutrients) removal. Significant variations in removal rate coefficients (k
Identifiants
pubmed: 36934901
pii: S0960-8524(23)00335-8
doi: 10.1016/j.biortech.2023.128909
pii:
doi:
Substances chimiques
Nitrogen
N762921K75
Environmental Pollutants
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
128909Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The 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.