Nur Hayati HussinIsmail YusoffWan Zakaria Wan Muhd TahirIbrahim MohamedAdriana Irawati Nur IbrahimAdzhar Rambli2024-05-202024-05-202016Hussin, N. H., Yusoff, I., Wan Muhd Tahir, W. Z., Mohamed, I., Ibrahim, A. I. N., & Rambli, A. (2016). Multivariate statistical analysis for identifying water quality and hydrogeochemical evolution of shallow groundwater in Quaternary deposits in the Lower Kelantan River Basin, Malaysian Peninsula. Environmental Earth Sciences, 75, 1-16.https://repoemc.ukm.my/handle/123456789/1397A long-term hydrogeochemical data set is used in this study to evaluate the water quality and hydrogeochemical evolution of shallow groundwater in a Quaternary deposit. A multivariate statistical method, hierarchical cluster analysis (HCA), is applied to overcome the problem of a large number of data points in the integration, interpretation and representation of the results. HCA is applied to a subgroup of the hydrogeochemical data set to evaluate their usefulness to classify the groundwater bodies.enHydrogeochemistryWater qualityGroundwater evolutionHierarchical cluster analysis (HCA)Quaternary deposits of Lower Kelantan River BasinJournal