An overview on the development of the irrigation system in the province of Adrar (Algeria)

Hadidi, Abdelkader; Saba, Djamel; Benmedjahed, Miloud; Blal, Mohamed

doi:10.1007/s12517-022-10103-8

Cited by 3 publications

(9 citation statements)

References 16 publications

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“…Adrar is characterized by scarce rainfall, where the annual average is about 15 mm yearly, and the evaporation rate is about 4500 mm yearly [32]. Temperatures in the summer are consistently high and can exceed 45 • C [33]. The study area often experiences a scorching, dusty southerly wind called the Sirocco in the summer [34].…”

Section: Study Areamentioning

confidence: 99%

Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments

Derdour

Abdo²,

Almohamad

et al. 2023

Sustainability

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Assessing water quality is crucial for improving global water resource management, particularly in arid regions. This study aims to assess and monitor the status of groundwater quality based on hydrochemical parameters and by using artificial intelligence (AI) approaches. The irrigation water quality index (IWQI) is predicted by using support vector machine (SVM) and k-nearest neighbors (KNN) classifiers in Matlab’s classification learner toolbox. The classifiers are fed with the following hydrochemical input parameters: sodium adsorption ratio (SAR), electrical conductivity (EC), bicarbonate level (HCO3), chloride concentration (Cl), and sodium concentration (Na). The proposed methods were used to assess the quality of groundwater extracted from the desertic region of Adrar in Algeria. The collected groundwater samples showed that 9.64% of samples were of very good quality, 12.05% were of good quality, 21.08% were satisfactory, and 57.23% were considered unsuitable for irrigation. The IWQI prediction accuracies of the classifiers with the standardized, normalized, and raw data were 100%, 100%, and 90%, respectively. The cubic SVM with the normalized data develops the highest prediction accuracy for training and testing samples (94.2% and 100%, respectively). The findings of this work showed that the multiple regression model and machine learning could effectively assess water quality in desert zones for sustainable water management.

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Section: Study Areamentioning

confidence: 99%

Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments

Derdour

Abdo²,

Almohamad

et al. 2023

Sustainability

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“…Koppen describes the desert climate in the Adrar region as being characterized by extreme drought with little or no rainfall, and a very hot weather. In addition to very strong solar radiation with a long duration of brightness in large parts of the state, and a very low humidity [2].…”

Section: Climatementioning

confidence: 99%

“…The studied area is located in the North Sahara Aquifer System (SASS), which extends over an area of 1,100,000 km2 across Algeria, Libya and Tunisia, and it is located north of the Sahara [2]. It consists of two main groundwater reservoirs: the Intercalary and the Terminal Complex, which together contain large reserves of groundwater, estimated about 3,270,000 m 3 .…”

Section: Hydrogeology Sourcesmentioning

confidence: 99%

“…This region also benefited from water projects that resulted in the construction of new wells and the installation of supply lines. We find from statistics in regions that include Adrar, Timimoun and Bordj Beji Mokhtar, approximately 811 wells used to supply groundwater with a flow rate of 30.4 m 3 / day, or 319 million m 3 annually [2]. Wells are the main source of water supply, especially for irrigation.…”

Section: Hydrogeology Sourcesmentioning

confidence: 99%

“…In addition thanks to the presence of some oasis that is available on agricultural and animal diversity [1]. The term oasis came from ancient Egyptian language, which means the inhabited area, and it was used by the geographer Herodotus around 450 BC [2].…”

Section: Introductionmentioning

confidence: 99%

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Adrar Initial State Investigation for the Use of Renewable Energies in Irrigation Systems

Benmedjahed¹,

Dahbi²,

Hadidi³

et al. 2023

IJSDP

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This paper represents a study on a survey and statistical analysis of ground water resources in Adrar region in southern Algeria, with a presentation of the used irrigation methods especially Foggaras system, which is not only an irrigation method, but a way of life and cultural heritage. We noticed that the Foggaras suffer from several problems, such as lack of maintenance and random excavation, in addition the pollution especially with sewage water. We also noticed that despite the abundance of renewable energy resources, especially solar and wind energy, these resources are rarely used for irrigation or pumping. Therefore, as responses to these issues, many proposals were presented, which are mostly related to the exploitation of renewable energies for pumping and irrigation with clean water and managing it rationally to obtain the best yield and promote sustainable development.

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Water quality study of the foggaras in the Adrar region (southwest Algeria) using WQI and GIS

et al. 2022

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An overview on the development of the irrigation system in the province of Adrar (Algeria)

Cited by 3 publications

References 16 publications

Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments

Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments

Adrar Initial State Investigation for the Use of Renewable Energies in Irrigation Systems

Water quality study of the foggaras in the Adrar region (southwest Algeria) using WQI and GIS

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