Assessment of saltwater contamination extent in the coastal aquifers of Chaouia (Morocco) using the electric recognition

Alabjah, Bahija; Amraoui, Fouad; Chibout, Mohamed; Mohamed, Slimani

doi:10.1016/j.jhydrol.2018.09.003

Cited by 28 publications

(11 citation statements)

References 53 publications

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“…In electrical tomography, after the transfer of apparent resistivity measurements acquired, the results obtained will be represented along a pseudo-section in apparent resistivity as a function of the depth. Data inversion using Res2dinv software will provide a mathematical model of true resistivity [34].…”

Section: Methodsmentioning

confidence: 99%

Geophysical Contribution to the Determination of the Limit between Laayoune and Foum El Oued Aquifers, Origin of Supply Sources of Oued Sakia El Hamra, Laayoune Province, Morocco

Chibout¹,

Benslimane²,

Mokhtar³

et al. 2019

IJG

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Laayoune and the Foum El Oued aquifers are in hydraulic communication only at the level of Oued Saguia El Hamra. The present study has accordingly made use of all the hydrogeological, hydrological, geological and geophysical data that preceded the watershed of Oued Saguia El Hamra in its downstream part. These data are by no means omplementary with the objective of having a better understanding of the boundary line between Laayoune and Foum El Oued aquifers and the origin of feeding the sources of Oued Saguia El Hamra. This study will focus only on the previous geophysical studies where a reinterpretation of electrical soundings has proved useful as a result of the recent well-logging results. It makes it possible to highlight the presence of a significant rise in the truncated marly substratum of Oued Saguia El Hamra and depressions (left and right banks) which could correspond to stream channels or depressed areas. At the level of the Wadi bed, there has been a regular immersion of the conductive level roofs from east to west towards Foum El Oued favoring the flow of wastewater from the zone and spraying the brackish water sources towards the groundwater of Foum El Oued. In the light of the reinterpretation of electric polls, plus as well as the geophysical surveys by electrical tomography and high definition made at the right and left banks of the Oueed Saguia El-Hamra, it was possible to verify the existence of dry

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Section: Methodsmentioning

confidence: 99%

Geophysical Contribution to the Determination of the Limit between Laayoune and Foum El Oued Aquifers, Origin of Supply Sources of Oued Sakia El Hamra, Laayoune Province, Morocco

Chibout¹,

Benslimane²,

Mokhtar³

et al. 2019

IJG

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“…Grain size distribution, together with the shape type of the salt water contamination in the coastal aquifers of Chaouia, Morocco, were determined by using the VES and Electrical Resistivity Tomography (ERT) profiles. The results showed that the length of the salt water penetration depended on the lithological nature of the aquifer formations [11].…”

Section: Introductionmentioning

confidence: 99%

Empirical Correlations between the Hydraulic Properties Obtained from the Geoelectrical Methods and Water Well Data of Arak Aquifer

Khalilidermani¹,

Knez

Zamani

2021

Energies

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A number of empirical correlations have been achieved between the hydraulic properties measured through geoelectrical methods and water well data of Arak Aquifer located in Markazi province, Iran. The geoelectrical method of Vertical Electrical Sounding (VES) technique was used to calculate the hydraulic properties of the aquifer. Through the VES technique, the pivotal hydraulic properties such as porosity, hydraulic conductivity, and specific yield of the layers were calculated. The results of VES technique were compared with the data obtained from seven observation water wells that were already drilled as exploratory coring boreholes in the region. The results demonstrate that as the porosity and hydraulic conductivity of the water-bearing layer increase, the results of VES technique appear much identical to the water well records. Furthermore, the specific yield was calculated as 4.6% that was very close to the value of 3.5% measured through the previous pumping tests. Moreover, VES technique predicted the water table of the aquifer very close to the water level monitored in the observation water wells. The obtained correlations can be used as an alternative for drilling of new observation wells that are inefficient in time and expense, and may encounter environmental limitations of drilling and site construction.

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“…In Morocco, water resource planning and management processes are facing several issues, such as reservoir sedimentation, the continuous decline of groundwater level in most aquifers, seawater intrusion into the costal aquifers, inappropriate practices applied to groundwater-based agriculture, and flood risk [24][25][26]. Importantly, according to the Water Department of Morocco, reservoir silting causes a global decrease in the reservoir capacity of approximately 70 mm 3 •yr −1 ,which means 0.4% each year, with large regional variability, and much higher values in some regions, such as the north of the country.…”

Section: Introductionmentioning

confidence: 99%

Predicting Daily Suspended Sediment Load Using Machine Learning and NARX Hydro-Climatic Inputs in Semi-Arid Environment

Ezzaouini

Mahé

Kacimi

et al. 2022

Water

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Sediment transport in basins disturbs the ecological systems of the water bodies and leads to reservoir siltation. Its evaluation is crucial for managing water resources. The practical application of the process-based model can confront some limitations noticed in the lower accuracy during the validation process due to the lack of reliable physical datasets. In this study, we attempt to apply machine-learning-based modeling (ML) to predict the suspended sediment load, using hydro-climatic data as input variables in the semi-arid Bouregreg basin, Morocco. To that end, data for the years 2016 to 2020 were used for the training process, and the validation was performed with 2021 data. The results showed that most ML models have good accuracy, with a Nash–Schiff efficiency (NSE) ranging from 0.47 to 0.80 during the validation phase, which indicates satisfactory performances in predicting the SSL. Furthermore, the models were ranked against their generalization ability (GA), which revealed that the developed models are good to excellent in terms of GA. Overall, the present study provides new insight into predicting the SSL in a semi-arid environment, such as the Bouregreg basin.

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Assessment of saltwater contamination extent in the coastal aquifers of Chaouia (Morocco) using the electric recognition

Cited by 28 publications

References 53 publications

Geophysical Contribution to the Determination of the Limit between Laayoune and Foum El Oued Aquifers, Origin of Supply Sources of Oued Sakia El Hamra, Laayoune Province, Morocco

Geophysical Contribution to the Determination of the Limit between Laayoune and Foum El Oued Aquifers, Origin of Supply Sources of Oued Sakia El Hamra, Laayoune Province, Morocco

Empirical Correlations between the Hydraulic Properties Obtained from the Geoelectrical Methods and Water Well Data of Arak Aquifer

Predicting Daily Suspended Sediment Load Using Machine Learning and NARX Hydro-Climatic Inputs in Semi-Arid Environment

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