Anthropogenic Aquifer Recharge Effect on Groundwater Resources in an Agricultural Floodplain in Northeastern Tunisia: Insights from Geochemical Tracers and Geophysical Methods

Chekirbane, Anis; Gasmi, Omeyma; Mlayah, Ammar; Gabtni, Hakim; Khadhar, Samia; Lachaal, Fethi; Zghibi, Adel; Taupin, Jean-Denis

doi:10.1007/s11053-021-09991-6

Cited by 5 publications

(5 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pH values ranged between 6.1-8.1, is also within the acceptable limits for water use in irrigation 57 . Our results agreed with other studies 58 , which found that pH varied between 7.5-9.9. In the current study area, pH variations may have occurred due to the minerals, pollutants, soil or bedrock composition, and other contaminants interacting with water 59 .…”

Section: Discussionsupporting

confidence: 94%

“…The K + concentration is greatly dependent on the sediment type in the aquifer media, ranging from 22 to 290 mg L −1 . Similar values have also been reported in other studies 58 , 66 . The considerable K + content may be attributed to the silicate minerals, orthoclase, microcline, hornblende, muscovite, and biotite in igneous and metamorphic rocks and evaporate deposits.…”

Section: Discussionsupporting

confidence: 92%

“…Only 1.42% of the samples had higher Mg +2 concentrations (above the acceptable levels of irrigation water), while the rest had a mean concentration of 21.90 mg L −1 . In Tunisia, Mg content in groundwater ranges between 17.3 and 242 mg L −1 58 ; whereas in Morocco, Ca content ranges between 38 and 54 mg L −1 61 . This may be attributed to the lithological effect from the dissolution of carbonate rocks in the catchment area and the Mg-rich minerals in the cement materials of the Quaternary aquifer system in the study area 72 .…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Shehata,

Zaid,

Al-Goul

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Groundwater is an excellent alternative to freshwater for drinking, irrigation, and developing arid regions. Agricultural, commercial, industrial, residential, and municipal activities may affect groundwater quantity and quality. Therefore, we aimed to use advanced methods/techniques to monitor the piezometric levels and collect groundwater samples to test their physicochemical and biological characteristics. Our results using software programs showed two main types of groundwater: the most prevalent was the Na–Cl type, which accounts for 94% of the groundwater samples, whereas the Mg–Cl type was found in 6% of samples only. In general, the hydraulic gradient values, ranging from medium to low, could be attributed to the slow movement of groundwater. Salinity distribution in groundwater maps varied between 238 and 1350 mg L−1. Although lower salinity values were observed in northwestern wells, higher values were recorded in southern ones. The collected seventeen water samples exhibited brackish characteristics and were subjected to microbial growth monitoring. Sample WD12 had the lowest total bacterial count (TBC) of 4.8 ± 0.9 colony forming unit (CFU mg L−1), while WD14 had the highest TBC (7.5 ± 0.5 CFU mg L−1). None of the tested water samples, however, contained pathogenic microorganisms. In conclusion, the current simulation models for groundwater drawdown of the Quaternary aquifer system predict a considerable drawdown of water levels over the next 10, 20, and 30 years with the continuous development of the region.

show abstract

Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Shehata,

Zaid,

Al-Goul

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Hydrogeologically, the Mornag plain hosts a multilayered aquifer system, which consists of severel aquifer levels (Chekirbane et al, 2022). The shallow aquifer, which made up mainly of alluvial Quaternary deposits, is unconfined overl all the plain.…”

Section: Geologic and Hydrogeologic Settingmentioning

confidence: 99%

“…The irrigated areas in the study area, which encompass a total area of 8667 ha, 6487 of which are publicly, receive irrigation water from the shallow aquifer and then from the deep aquifer groundwaters (Abdelkarim Hamrita et al, 2017;Lassoued B., Lebbène H. et Gouider N., 1995). The Mornag aquifer has been overexploited due to the intensive agricultural development and industrial activities, which has resulted in a generalized water table decline and groundwater salinization (Chekirbane et al, 2022;Hfaiedh et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Employing Machine Learning Approaches and Multivariate Analysis to Assess Groundwater Quality for Irrigation in the Mornag Plain, Tunisia

Hfaiedh,

Gaagai,

Moussa

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

The crucial assessment of water quality in the Mornag Plain, Tunisia, is fundamental for reservoir management, ensuring suitability for consumption, and preserving environmental integrity. Employing a diverse range of methodologies, such as water quality indices (WQIs), statistical analyses, geographic information systems (GIS), and decision tree (DT) model, provided a nuanced understanding of the compositional attributes of groundwater designated for irrigation. Detected categories of water, for instance Na-Cl, Ca-Mg-SO4, and a combination of Ca-Mg-Cl/SO4, displayed unique chemical signatures. These patterns were shaped by diverse processes including interactions between water and rock, the breakdown of dolomite, the concentration of minerals through evaporation, the swapping of ions, and human impact. Evaluating groundwater's suitability for irrigation purposes by employing measures like Na%, SAR, SSP, and MH, demonstrated that a significant portion of the samples conformed to approved norms. However, the analysis revealing 65.6% of the IWQI and every instance of PS falling within the spectrum of high to severe constraints, as well as ranging from detrimental to unsatisfactory classes, underscores the obstacles in sustaining superior irrigation water standards. The predictive model, DT, demonstrated robust results in forecasting all water quality indices. The DT-HyC-9 model stood out as the top performer in prediction accuracy, demonstrating a robust correlation with prime factors affecting IWQI, as shown by substantial R2 metrics in both the training and evaluation phases. Likewise, the DT-HyC-3 approach showcased remarkable precision in forecasting IWQI, highlighting the critical role of three essential factors. These results provide crucial guidance for policymakers engaged in managing water quality, laying the groundwork for the sustainable management of water resources within the Mornag Plain. The integration of advanced methodologies and predictive models enhances the understanding of groundwater dynamics, facilitating informed decision-making for the region's water sustainability.

show abstract

Assessment of groundwater quality and pesticide distribution in Mornag aquifer using GIS-based technique (Northeast Tunisia)

et al. 2022

View full text Add to dashboard Cite

Anthropogenic Aquifer Recharge Effect on Groundwater Resources in an Agricultural Floodplain in Northeastern Tunisia: Insights from Geochemical Tracers and Geophysical Methods

Cited by 5 publications

References 54 publications

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Employing Machine Learning Approaches and Multivariate Analysis to Assess Groundwater Quality for Irrigation in the Mornag Plain, Tunisia

Assessment of groundwater quality and pesticide distribution in Mornag aquifer using GIS-based technique (Northeast Tunisia)

Contact Info

Product

Resources

About