• image 01
    Volume 1, No.1, 2012
  • image 02
    Volume 1, No.2, 2012
  • image 01
    Volume 1, No.3, 2012
  • image 02
    Volume 2, No.1, 2013
  • image 02
    Volume 2, No.2, 2013
  • image 02
    Volume 2, No.S1, 2013
  • image 02
    Volume 2, No.3, 2013
  • image 02
    Volume 2, No.4, 2013
  • image 02
    Volume 3, No.1, 2014
  • image 02
    Volume 3, No.2, 2014
  • Volume 3, No3
    Volume 3, No.3, 2014
  • Volume 3, No4
    Volume 3, No.4, 2014
  • Volume 4, No1
    Volume 4, No.1, 2015
  • Volume 4, No2
    Volume 4, No.2, 2015
  • Volume 4, No3
    Volume 4, No.3, 2015
  • Volume 4, No4
    Volume 4, No.4, 2015
  • Volume 5, No1
    Volume 5, No.1, 2016
  • image 01
  • image 02
  • Login|Register
  • Chem Sci Trans., 2018, 7(2),  pp 297-308  

    DOI:10.7598/cst2018.1471

    Research Article

    Application of the Multivariate Statistical Analysis for Hydrogeochemical Assessment of Groundwater of Coastal Aquifer AQ1 of Pointe-Noire, Congo

  • D. NKOUNKOU TOMODIATOUNGA1, L. MATINI2, L. OKOTAKA EBAL?1, G. MOUKANDI N?KAYA1 and B. MABIALA1
  • 1Laboratoire M?canique, Energ?tique et Ing?nierie, Ecole Nationale Sup?rieure Polytechnique, Universit? Marien Ngouabi, B.P. 69 Brazzaville, R?p. Du Congo
    2Laboratoire de chimie min?rale et appliqu?e, Facult? des Sciences Universit? Marien Ngouabi, B.P. 69 Brazzaville, R?p. Du Congo
  • Abstract

    The physicochemical quality of groundwater of one of the five aquifers of the coastal region of Pointe-Noire, aquifer AQ1 is the subject of this study. Water of 18 wells was taken during the year 2014. 13 variables were given in the water samples: pH, C.E, T, Ca2+, Mg2+, Na+, K+, HCO3-, Cl-, SO42-, NO3-, TDS and TH. The pH lies between 4.26 and 7.10. 88.88% of the wells have pH lower to 6.5, which show the acid character. 83.33% of analysed water are fairly mineral-bearing (C.E < 300 μS cm-1). On the other hand 16.67% of these water wells (PU1, PU4 and PU17) present an accentuated mineralization. The multivariate statistical methods have been used in this study. Ascending hierarchical classification gave two groups of water well. Except for the temperature and pH, the other variables discriminate the two groups. The factorial analysis highlighted two factors which account for 80.61% of the total variance. The first factor (62.87%) shows the mineralization and the hardness water. The second factor (17.74%) highlights the dissolution of carbonated minerals of magnesium and the character slightly acid of water.

    Keywords

    Groundwater, Multivariate statistical analysis, Pointe-Noire Congo

    This article has been viwed 400 times

      

    Citations for this article 0

      

    No Citations