Modeling and optimizing the removal of cadmium by
Artificial Neural Networks
Response Surface Methodology (RSM)
modeling
phytoremediation
sewage sludge
Journal
International journal of phytoremediation
ISSN: 1549-7879
Titre abrégé: Int J Phytoremediation
Pays: United States
ID NLM: 101136878
Informations de publication
Date de publication:
2020
2020
Historique:
pubmed:
30
5
2020
medline:
24
9
2020
entrez:
30
5
2020
Statut:
ppublish
Résumé
The study was aimed to model and optimize the removal of cadmium from contaminated post-industrial soil via
Identifiants
pubmed: 32466658
doi: 10.1080/15226514.2020.1768513
doi:
Substances chimiques
Sewage
0
Soil
0
Soil Pollutants
0
Cadmium
00BH33GNGH
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM