Groundwater potentiality assessment in an arid zone using a statistical approach and multi-criteria evaluation, southwestern Tunisia

Msaddek, Mohamed Haythem; Souissi, Dhekra; Moumni, Yahya; Chenini, Ismail; Bouaziz, Nacira; Dlala, Mahmoud

doi:10.7306/gq.1451

Cited by 8 publications

(4 citation statements)

References 32 publications

(50 reference statements)

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“…Key factors for evaluating groundwater appropriateness for irrigation, as determined by the potential salinity index, include the amount of Cl − elements and fifty percent of the SO 4 2− content. The Potential Salinity Index (PSIndex) is typically categorized into two groups: suspicious if it surpasses three (>5), favorable (3)(4)(5), and excellent (<3) for the intention of irrigating crops.…”

Section: Sodium Adsorption Ratio Index (Sarindex)mentioning

confidence: 99%

“…This, in turn, exerts a considerable influence on the sustainability of crop productivity. Nonetheless, these invaluable water sources face an array of challenges arising from environmental factors, human interventions, and natural phenomena [1,4,5]. The collective impact of these factors leads to a decline in the chemical and physical attributes of groundwater, rendering it inadequate for agricultural use.…”

Section: Introductionmentioning

confidence: 99%

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Groundwater Quality Evaluation of Fractured Aquifers Using Machine Learning Models and Hydrogeochemical Approaches to Sustainable Water-Irrigation Security in Arid Climate (Central Tunisia)

Msaddek,

Moumni,

Zouhri

et al. 2023

Water

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The primary aims of this research paper involve the creation and verification of machine learning-based quality models that utilize Integrated Irrigation Water Quality Indices (IIGWQIs) through an integrated GIS approach. We utilize the Least-Squares Support Vector Machines (LS-SVM) and the Pearson Correlation Fuzzy Inference-based System (PC-FIS) to establish forecasts for groundwater quality in the Meknassy basin. This basin serves as a representative case of an irrigated region in a mining environment under arid climatic conditions in central Tunisia. The evaluated factors for groundwater quality encompass the Irrigation Water Quality Index (IWQIndex), Sodium Adsorption Ratio Index (SARIndex), Soluble Sodium Percentage Index (SSPIndex), Potential Salinity Index (PSIndex), Kelley Index (KIndex), and Residual Sodium Carbonate Index (RSCIndex). These factors were determined based on measurements from 53 groundwater wells, which included various physico-chemical parameters. The hydrogeochemical facies identified included Ca-Mg-SO4, mixed Ca-Mg-Cl-SO4, and Na-Cl facies, revealing processes such as carbonate weathering, carbonate dissolution, interactions between rocks and groundwater, and mixing ionic substitution. In terms of the irrigation suitability categories, the IWQIndex, SSPIndex, PSIndex, Kindex, and RSCIndex indicated no limitation or minimal limitation (77.36%), secure (92.45%), favorable to excellent (66.04%), favorable (81.13%), and average to secure (88.68%), respectively. However, only 15.09% were considered favorable, according to SARIndex. The evaluation of the predictive models revealed the effectiveness of both the PC-FIS model and the LS-SVM model in accurately forecasting the IIGWQIs.

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Section: Sodium Adsorption Ratio Index (Sarindex)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Groundwater Quality Evaluation of Fractured Aquifers Using Machine Learning Models and Hydrogeochemical Approaches to Sustainable Water-Irrigation Security in Arid Climate (Central Tunisia)

Msaddek,

Moumni,

Zouhri

et al. 2023

Water

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“…Escalating water demands driven by agricultural needs, population growth, and rapid industrialization amplify the necessity for freshwater resources (Msaddek et al, 2021a;Msaddek et al, 2021b;Msaddek et al, 2022). Consequently, groundwater pumping has emerged as an integral component of water resource planning worldwide, including the Western Mediterranean region (Chenini et al, 2008b;Chenini et al, 2010a;Farhat et al, 2012;Moumni et al, 2016;Msaddek et al, 2016;Sanai et al, 2016;Zghibi et al, 2016;Msaddek et al, 2017;Msaddek et al, 2019;Zghibi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The majority of previous groundwater recharge assessments in arid areas have utilized six basic parameters: soil type, rainfall, slope, lithology, land cover, and drainage density for susceptibility mapping Msaddek et al, 2019;Chenini and Msaddek, 2020;Souei et al, 2021;Ghosh et al, 2022;Sajil Kumar et al, 2022;Trabelsi et al, 2022). This study introduces two additional parameters, namely the Normalized Difference Vegetation Index (NDVI) and transmissivity, enhancing the evaluation of recharge areas by considering the presence of green vegetation and rocks' permeability.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Water Resources: Empirical Methods and Mapping Recharge Zones: Case Study (Eastern Tunisia)

BARREK,

Msaddek,

May

et al. 2024

Preprint

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Groundwater is considered the primary water resource for drinking, irrigation, and industrial purposes. Excessive groundwater pumping, driven by increasing water demand, particularly in the agricultural sector, leads to groundwater scarcity. Groundwater recharge is the most important process contributing to water sustainability. In this paper, two approaches have been combined to establish a groundwater recharge susceptibility map. The first approach is based on empirical formulas used to estimate quantitative groundwater recharge, namely Chaturvedi, modified Chaturvedi, Sehgal, Krishna Rao, and Bhattacharya, applied to the El Fahs Plain aquifer. The second approach, used to map sustainable groundwater recharge areas, is based on Analytic Hierarchy Process (AHP) multicriteria analysis. To delineate aquifer suitability for groundwater recharge, eight parameters were considered: soil type, land cover, drainage density, lithology, Normalized Difference Vegetation Index, slope, transmissivity, and rainfall. The impact of each factor was weighted, and this method was applied to the El Fahs Plain shallow aquifer. Results indicate that the recharge coefficients obtained from the empirical formulas are 0.143, 0.130, 0.114, 0.010, and 0.089 for Chaturvedi, modified Chaturvedi, Sehgal, Krishna Rao, and Bhattacharya, respectively. The findings suggest that 37% of the aquifer area has very good and good recharge suitability. The results were validated by the Receiver Operating Characteristics curve, with an accuracy of prediction reaching 89.3%. The primary benefit of this research is to enhance the efficiency of mapping groundwater recharge zone suitability.

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GIS-based multi-criteria decision-making techniques and analytical hierarchical process for delineation of groundwater potential

Farhat

Souissi

Mahfoudhi

et al. 2023

Environ Monit Assess

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Groundwater potentiality assessment in an arid zone using a statistical approach and multi-criteria evaluation, southwestern Tunisia

Abstract: Ground wa ter po ten ti al ity as sess ment in an arid zone us ing a sta tis ti cal ap proach and multi-cri te ria eval u a tion, south west ern Tu ni sia.

Cited by 8 publications

References 32 publications

Groundwater Quality Evaluation of Fractured Aquifers Using Machine Learning Models and Hydrogeochemical Approaches to Sustainable Water-Irrigation Security in Arid Climate (Central Tunisia)

Groundwater Quality Evaluation of Fractured Aquifers Using Machine Learning Models and Hydrogeochemical Approaches to Sustainable Water-Irrigation Security in Arid Climate (Central Tunisia)

Quantitative Assessment of Water Resources: Empirical Methods and Mapping Recharge Zones: Case Study (Eastern Tunisia)

GIS-based multi-criteria decision-making techniques and analytical hierarchical process for delineation of groundwater potential

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