Assessment of hydrogeochemical characteristics of groundwater: link of AHP and PCA methods using a GIS approach in a semi-arid region, Central Tunisia

Missaoui, Rim; Ncibi, Kaouther; Abdelkarim, Bilel; Bouajila, Abedlhakim; Choura, Abdeljabbar; Hamdi, Mongi; Hamed, Younes

doi:10.1007/s41207-023-00345-7

Cited by 12 publications

(3 citation statements)

References 61 publications

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“…Globally, a number of WQI models have been proposed, proving helpful for policy development and decision-making in water resource management 12 , 13 . Among them, multivariate statistical methods, especially dimensionality reduction techniques such as principal component analysis (PCA) and factor analysis (FA), have become prevalent in WQI development 14 – 17 . For instance, PCA provides an objective method for WQI development, typically using weighted linear combination of multiple parameters to calculate a minimal number of independent indices (scores), preserving the multivariate covariance structure dataset 18 – 20 .…”

Section: Introductionmentioning

confidence: 99%

Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index

Oh,

Kim,

Kim

et al. 2024

Sci Rep

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This study introduces a novel groundwater pollution index (GPI) formulated through compositional data analysis (CoDa) and robust principal component analysis (RPCA) to enhance groundwater quality assessment. Using groundwater quality monitoring data from sites impacted by the 2010–2011 foot-and-mouth disease outbreak in South Korea, CoDa uncovers critical hydrochemical differences between leachate-influenced and background groundwater. The GPI was developed by selecting key subcompositional parts (NH4+-N, Cl-, and NO3--N) using RPCA, performing the isometric log-ratio (ILR) transformation, and normalizing the results to environmental standards, thereby providing a more precise and accurate assessment of pollution. Validated against government criteria, the GPI has shown its potential as an alternative assessment tool, with its reliability confirmed by receiver operating characteristic curve analysis. This study highlights the essential role of CoDa, especially the ILR -transformation, in overcoming the limitations of traditional statistical methods that often neglect the relative nature of hydrochemical data. Our results emphasize the utility of the GPI in significantly advancing groundwater quality monitoring and management by addressing a methodological gap in the quantitative assessment of groundwater pollution.

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Section: Introductionmentioning

confidence: 99%

Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index

Oh,

Kim,

Kim

et al. 2024

Sci Rep

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“…Water scarcity arises when the demand for water exceeds the available supply (FAO 2012). It is characterized by unmet demand, overexploitation of groundwater resources, and vulnerability of natural resources (Vairavamoorthy et al 2008;Kharraz et al 2012;Acharyya 2014;Selby and Hoffmann 2014;Mattos et al 2018, Missaoui et al 2023a. This scarcity of water resources poses significant challenges in arid and semi-arid regions, where the supply and quality of water are already major concerns.…”

Section: Introductionmentioning

confidence: 99%

“…The Gabès region in southern Tunisia, for example, has recently faced severe water shortages, and this situation is expected to worsen until 2030 (Agoubi et al 2018;Abdelkarim et al 2022a, b). Consequently, there has been an increasing reliance on the exploitation and consumption of groundwater to meet the growing water demands of agriculture, industry, and various human activities (Marques et al 2021;Missaoui et al 2022, 2023a, b, Ben Abdelkarim et al 2023.…”

Section: Introductionmentioning

confidence: 99%

Modeling groundwater recharge mechanisms in semi-arid regions: integration of hydrochemical and isotopic data

Abdelkarim,

Antunes,

Abaab

et al. 2023

Euro-Mediterr J Environ Integr

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Groundwater management is crucial, particularly in arid and semi-arid regions, where it is influenced by the climate and human activities. The Gabès region in southeastern Tunisia is known for its significant groundwater resources, which are mainly associated with the Continental Intercalary (CI) and Djeffara aquifers as well as interlayers from the Ceno-Turonian and Miocene-Pliocene aquifer systems. The Cretaceous and Quaternary aquifer systems are the most exploited in this region. This study aimed to assess the hydrochemistry of these aquifer systems and contribute to understanding the recharge mechanisms. To achieve this, 44 groundwater samples were collected and analyzed for major ions and the isotopes oxygen-18 and deuterium. The results indicate that the total dissolved solids concentration ranges from 300 to 7200 mg/L, with temperatures varying from normal (19 °C) to extremely high (> 70 °C). Cluster analysis revealed two main groups (A and B) with distinct chemical and isotopic characteristics. The isotopic ratios of oxygen (δ 18 O) and hydrogen (δ 2 H) were used to identify the recharge mechanism. The findings suggest relatively depleted 18 O and 2 H isotopic ratios, indicating a mixing of groundwater from the Djeffara aquifer with deep thermal groundwater from the CI. However, groundwater depth and local geological structures also influence the mixing pattern. The results highlight the need for detailed structural characterization in the future to identify the spatial distribution and dominant properties of fractures. This information is crucial for understanding their contribution to regional groundwater recharge. Integrating hydrogeochemical data and the isotopic groundwater composition will enhance our understanding of the geochemical processes governing groundwater hydrochemistry and recharge in the Gabès region as well as in similar hydrogeological and structural settings.

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Assessing the Vertical Distribution and Health Risks of Trace Metal Elements in Phosphogypsum-Enriched Agricultural Soils of Typical Peri-Urban Areas in Southwestern Tunisia

Hidouri

Missaoui

Jraba

et al. 2023

Water Air Soil Pollut

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Assessment of hydrogeochemical characteristics of groundwater: link of AHP and PCA methods using a GIS approach in a semi-arid region, Central Tunisia

Cited by 12 publications

References 61 publications

Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index

Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index

Modeling groundwater recharge mechanisms in semi-arid regions: integration of hydrochemical and isotopic data

Assessing the Vertical Distribution and Health Risks of Trace Metal Elements in Phosphogypsum-Enriched Agricultural Soils of Typical Peri-Urban Areas in Southwestern Tunisia

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