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

Antoine Tamsa Arfao, Mamert Fils Onana, Ernest Koji, Luciane Marlyse Moungang, Olive Vivien Noah Ewoti, Joel Brice Tchuimaleu Emadjeu, Siméon Tchakonté, Awawou Manouore Njoya, Télesphore Sime-Ngando, et Nola Moise

American Journal of Water Resources. 2021, 9(1), 23-31 doi:10.12691/ajwr-9-1-4
  • Figure 1. Map of the study area showing sampling stations
  • Figure 2. Spatio-temporal variations in cell abundance of Herotrophic Aerobe Bacteria (A), Total Coliforms (B), Faecal Coliformes (C), Faecal Streptococci (D), Salmonella sp. (E), and Shigella sp. (F)
  • Figure 3. Result of the Principal Component Analysis (PCA) carried out on the physicochemical and bacteriological variables measured in the different stations during the study period: (A) Histogram of the eigen vector; (B) Correlation circle between variables and factorial axes F1 and F2; (C) Biplot showing the distribution of the stations with respect to their physicochemical and bacteriological characteristics in the factorial plane F1 X F2