Fractures network analysis and interpretation in carbonate rocks using a multi-criteria statistical approach. Case study of Jebal Chamsi and Jebal Belkhir, South-western part of Tunisia

Msaddek, Mohamed Haythem; Moumni, Yahya; Chenini, Ismail; Mercier, Éric; Dlala, Mahmoud

doi:10.1016/j.jafrearsci.2016.07.016

Cited by 12 publications

(5 citation statements)

References 44 publications

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“…Con cern ing its ge ol ogy and li thol ogy, the study area belongs to the South ern At las range. The ma jor ity of anticlines in this re gion have an E-W to ENE-WSW ax ial di rec tion (Ahmadi, 2006;Msaddek et al, 2016). Ma jor faults of the study area repre sent branches of the South At las front that sep a rates the Atlas chain and the Sa ha ran Plat form.…”

Section: Fig 1 Lo Ca Tion Of Study Area On Land Sat-8 Oli/tirs Sat mentioning

confidence: 93%

“…Ma jor faults of the study area repre sent branches of the South At las front that sep a rates the Atlas chain and the Sa ha ran Plat form. These faults dom i nate the geo log i cal struc tures of the re gion (Zargouni, 1985;Zouari, 1995;Ahmadi, 2006;Msaddek et al, 2016). In the north ern part of the study area, there is a range of Jebal Orbata and Jebal Bouhedma stretch ing along 70 km.…”

Section: Fig 1 Lo Ca Tion Of Study Area On Land Sat-8 Oli/tirs Sat mentioning

confidence: 99%

“…This ma jor di rec tion of lin ea ments have the same axis folds direc tion of study area folded struc tures. These struc tures have a gen eral di rec tion of ENE-WSW to E-W that char ac ter izes the Tu ni sian South ern At las (Zargouni, 1985;Zouari, 1995;Ahmadi, 2006;Msaddek et al, 2016).…”

Section: Influencing Factors Mapsmentioning

confidence: 99%

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

Msaddek¹,

Souissi²,

Moumni³

et al. 2019

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Section: Fig 1 Lo Ca Tion Of Study Area On Land Sat-8 Oli/tirs Sat mentioning

confidence: 93%

Section: Fig 1 Lo Ca Tion Of Study Area On Land Sat-8 Oli/tirs Sat mentioning

confidence: 99%

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

Msaddek¹,

Souissi²,

Moumni³

et al. 2019

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“…Notably, the recent Quaternary deposits within the study region consist of permeable formations. The variation in the depth of the Mio-Plio-Quaternary sand and gravel accumulations primarily stems from irregularities in bedrock topography [27,[37][38][39][40][41][42]. As one moves eastward within the study area, the depth of the phreatic aquifer increases [27,37], but its spatial extent remains constrained due to the surrounding elevations encompassing the hydrogeological basin.…”

Section: Study Areamentioning

confidence: 98%

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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“…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%

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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Fractures network analysis and interpretation in carbonate rocks using a multi-criteria statistical approach. Case study of Jebal Chamsi and Jebal Belkhir, South-western part of Tunisia

Cited by 12 publications

References 44 publications

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

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

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