Article citationsMore>>

Li, T., Sun, G., Yang, C., Liang, K., Ma, S. and Huang, L. (2018) Using Self-Organizing Map for Coastal Water Quality Classification: Towards a Better Understanding of Patterns and Processes. Science of the Total Environment, 628-629, 1446-1459.
https://doi.org/10.1016/j.scitotenv.2018.02.163

has been cited by the following article:

• TITLE: Quality of Well Water Used for Market Gardening from Lendeng Area Located in Common of Rufisque (Senegal)

  AUTHORS: Birame Ndiaye, Momar Ndiaye, Benita Pérez Cid, Abdoulaye Diop, Ibrahima Diagne, Dame Cissé, Cheikh Tidiane Dione, Maoudo Hane, Mame Mor Dione, Sitor Diouf, Seydou Ba

  KEYWORDS: Physicochemical Parameters, Well Water, Lendeng Market Gardening, Rufisque

  JOURNAL NAME: Journal of Agricultural Chemistry and Environment, Vol.11 No.4, October 19, 2022

  ABSTRACT: This study analysis was conducted to know the quality of well water around the market gardening area of Lendeng located in the common of Rufisque Est (Senegal). In this study, six groundwater samples were taken near the Lendeng market gardening area. The physicochemical parameters of water such as pH, temperature, electrical conductivity (EC), calcium (Ca2+), magnesium (Mg2+), potassium (K+), iron (Fe2+), chloride (Cl-), sulfate (SO3-4) and phosphate (PO3-4) were measured. The analysis results obtained show sulphate and phosphate have the highest levels. These results were compared to drinking water standards from the World Health Organization (WHO). The correlation coefficient ANOVA was applied to the test result of the samples. The statistical study showed that the well water in the market gardening area of Lendeng is not polluted.