Using Principal Component Analysis to Assess Water Quality from the Landing Stages in Coastal Region - Laboratoire Microorganismes : Génome et Environnement Accéder directement au contenu
Article Dans Une Revue American Journal of Water Resources Année : 2021

Using Principal Component Analysis to Assess Water Quality from the Landing Stages in Coastal Region

Résumé

Principal component analysis (PCA) was used to comprehensively evaluate the relationship between physicochemical and bacteriological parameters of water on banks of Wouri. At each sampling station, the physicochemical analysis focused on Water temperature, pH, dissolved oxygen, dissolved CO 2 , electrical conductivity, suspended solids, nitrates, ammonium ions, orthophosphates, color, salinity, and turbidity. The bacteriological analysis consisted of the isolation of heterotrophic aerobe bacteria (HAB), faecal bacteria, and some pathogenic bacteria. PCA showed that two factorial axes F1 (49.48%) and F2 (25.18%) explained 74.67% of the total inertia. pH, Suspended Solids, electrical conductivity and color are significantly and positively correlated with each other and also significantly and positively correlated with the F1 axis. HAB, faecal bacteria, Shigellae, dissolved CO 2 and salinity are significantly and positively correlated with each other and, are also significantly and negatively correlated with the F1 axis and with the previous group of variables. The F1 axis discriminates in the negative coordinates of the Youpwe 1 and 2 stations, characterized by a high content of orthophosphates, ammonium ions, and low oxygenation. There is also a high concentration of bacteria such as HAB, faecal coliforms and Salmonella. The calculation of FC/FS ratio reflects exclusively contamination of animal origin in all the sampled stations.
Fichier principal
Vignette du fichier
Tamsa Arfao et a AJWRl 2021.pdf (1.24 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03454652 , version 1 (29-11-2021)

Licence

Paternité

Identifiants

Citer

Antoine Tamsa Arfao, Mamert Fils Onana, Ernest Koji, Luciane Marlyse Moungang, Olive Vivien Noah Ewoti, et al.. Using Principal Component Analysis to Assess Water Quality from the Landing Stages in Coastal Region. American Journal of Water Resources, 2021, 9 (1), pp.23-31. ⟨10.12691/ajwr-9-1-4⟩. ⟨hal-03454652⟩
54 Consultations
54 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More