2018
DOI: 10.1016/j.pce.2018.05.001
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Assessment of seawater intrusion in an arid coastal aquifer, south-eastern Tunisia, using multivariate statistical analysis and chloride mass balance

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Cited by 36 publications
(10 citation statements)
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“…Seawater salinity is not uniformly distributed throughout the world, whereas, the majority of seawater has a salinity of between 31 g/kg and 38 g/kg [29]. The most dominant dissolved ions in seawater are sodium, chloride, magnesium, sulphate, and calcium [30]. The compositions of the total salt component are: Cl − 55%, Na + 30.6%, 4 −2 7.7%, Mg 2+ 3.7%, Ca 2+ 1.2%, K + 1.1%, other 0.7% [31].…”
Section: Methods and Setting Experimentsmentioning
confidence: 99%
“…Seawater salinity is not uniformly distributed throughout the world, whereas, the majority of seawater has a salinity of between 31 g/kg and 38 g/kg [29]. The most dominant dissolved ions in seawater are sodium, chloride, magnesium, sulphate, and calcium [30]. The compositions of the total salt component are: Cl − 55%, Na + 30.6%, 4 −2 7.7%, Mg 2+ 3.7%, Ca 2+ 1.2%, K + 1.1%, other 0.7% [31].…”
Section: Methods and Setting Experimentsmentioning
confidence: 99%
“…A widely applied approach to evaluate GW salinization, is surely the one that employed geostatistical methodologies such as multivariate statistical analysis [118][119][120][121][122][123][124][125][126]. In a recent study, Slama and Bouhlila have strengthened this approach by adding hydrogeochemical modelling to further constrain seawater-freshwater mixing [127].…”
Section: Data Handling Techniquesmentioning
confidence: 99%
“…Researchers have employed multivariate statistical analysis of physical and chemical GW data to evaluate the effect of SWI on coastal aquifers [ 20 , 22 , 23 ]. Principal component analysis (PCA) and factor analysis are the most used multivariate statistical techniques in SWI studies [ 19 , 24 , 25 ]. Telahigue et al [ 25 ] utilized PCA as a multivariate statistical technique to identify the main hydrochemical processes affecting the GW chemistry and quality in the southeastern region of Tunisia.…”
Section: Introductionmentioning
confidence: 99%
“…Principal component analysis (PCA) and factor analysis are the most used multivariate statistical techniques in SWI studies [ 19 , 24 , 25 ]. Telahigue et al [ 25 ] utilized PCA as a multivariate statistical technique to identify the main hydrochemical processes affecting the GW chemistry and quality in the southeastern region of Tunisia. Sae-Ju et al [ 19 ] implemented a PCA with hydrochemical facies evolution (HFE) diagram to understand the freshening and intrusion processes in a coastal aquifer in Thailand.…”
Section: Introductionmentioning
confidence: 99%