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Multivariate statistical analysis for identifying water quality and hydrogeochemical evolution of shallow groundwater in Quaternary deposits in the Lower Kelantan River Basin, Malaysian Peninsula

by Ibrahim, Adriana Irawati Nur , Mohamed, Ibrahim , Yusoff, Ismail , Rambli, Adzhar , Hussin, Nur Hayati , Wan Muhd Tahir, Wan Zakaria

in bicarbonates / Biogeosciences / calcium / chlorides / cluster analysis / data collection / Earth and Environmental Science / Earth Sciences / electrical conductivity / Environmental Science and Engineering / Geochemistry / Geology / Groundwater / Groundwater flow / Hydrologic sciences / Hydrology/Water Resources / ion exchange / iron / magnesium / manganese / Multivariate analysis / nitrates / Original Article / quaternary deposits / River basins / silica / sodium / Statistical analysis / Statistical methods / sulfates / Terrestrial Pollution / Total dissolved solids / Water quality / Water wells / watersheds / weathering / wells

2016

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Multivariate statistical analysis for identifying water quality and hydrogeochemical evolution of shallow groundwater in Quaternary deposits in the Lower Kelantan River Basin, Malaysian Peninsula

by Ibrahim, Adriana Irawati Nur , Mohamed, Ibrahim , Yusoff, Ismail , Rambli, Adzhar , Hussin, Nur Hayati , Wan Muhd Tahir, Wan Zakaria

2016

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Multivariate statistical analysis for identifying water quality and hydrogeochemical evolution of shallow groundwater in Quaternary deposits in the Lower Kelantan River Basin, Malaysian Peninsula

by Ibrahim, Adriana Irawati Nur , Mohamed, Ibrahim , Yusoff, Ismail , Rambli, Adzhar , Hussin, Nur Hayati , Wan Muhd Tahir, Wan Zakaria

2016

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Journal Article

Multivariate statistical analysis for identifying water quality and hydrogeochemical evolution of shallow groundwater in Quaternary deposits in the Lower Kelantan River Basin, Malaysian Peninsula

Ibrahim, Adriana Irawati Nur,

Mohamed, Ibrahim,

Yusoff, Ismail,

Rambli, Adzhar,

Hussin, Nur Hayati,

Wan Muhd Tahir, Wan Zakaria

2016

Overview

A 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. This subgroup consists of 27 groundwater wells and 15 variables [pH, total dissolved solids, electrical conductivity (EC), Na + , Ca 2+ , Mg 2+ , K, HCO 3 − , Cl − , SO 4 2− , Fe, Mn, NH 4 , NO 3 − and SiO 2 ]. Only 12 chemical variables were used for the analysis. Four clusters have been identified: C1–C4, with two main prevalent facies, Na–HCO 3 and Ca–HCO 3 . The hydrogeochemical evolution of shallow groundwater is governed by the processes of precipitation, weathering, dissolution and ion exchange.

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Publisher

Springer Berlin Heidelberg,Springer Nature B.V

Subject

/ calcium

/ Earth and Environmental Science