Browsing by Author "Fehdi, C"

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    PIG BASED WATER QUALITY ASSESSMENT IN EL-HAI RIVER BASIN, EL-KANTARA PLAIN, ALGERIA
    (university of eloued -جامعة الوادي, 2022-01-01) Kerboub, D; Fehdi, C; El hmaidi, A; Azzi2, Y; Khemissi, C
    Groundwater of the El-Kantara plain needs greater attention, because it is the alternative source of water for domestic and agricultural purposes. Water pollution affects both water quality and human health. Hence it is essential for continuous monitoring of the quality of groundwater so that pollution can be minimized. This study aims to evaluate the degree and extent of contamination of the Mio-Plio-Quaternary alluvial aquifer, in the El-Kantara area, Northern Biskra region (Algeria). A pollution index of groundwater (PIG) is proposed for quantification of water contamination at eleven (11) sampling different wells during four times at each well (dry period: September 2011/2014 and wet period February 2012/2015). PIG quantifies the status of concentrations of water quality measures with respect to their drinking water quality standards. The computed values of Pollution Index Groundwater (PIG) of El-Kantara aquifer in El-Hai River Basin vary from 0.746 (Insignificant pollution during wet period; February 2015) to 6.287(Very high pollution during dry period; September 2014). Spatial variation map has been prepared using GIS reveled that most of the study area accounts for very high pollution zones (61.36% of samples)
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    USING PCA AND ANN IN THE EXPLANATION OF GROUNDWATER CHEMISM. CASE OF THE MESSAAD PLATEAU. SOUTH ALGERIAN STEPPE REGION
    (university of eloued -جامعة الوادي, 2022-01-01) Rahmani, B. E; Baali, F; Fehdi, C
    The objective of this work is to study the chemistry of groundwater in the messaad plateau which is located 300km south of the capital of Algiers. The results obtained showed that the waters are very strongly mineralized overall, with a predominance of calcium sulphate facies and calcium chloride facies. a high degree of mineralization in the South and South-East part of the study area near Oued Messaad. The Principal Component Analysis (PCA) has shown that the increase in mineralization is mainly due to the dissolution of evaporative mineral-rich salt-bearing formations. The hydro-chemical model based on Artificial Neuron Networks (ANN) of the multilayer perceptron (MLP) type has shown that the SO42-,Cl-,Ca2+,Na+ ions are the most important factors influencing the electrical conductivity of water. These ions are the result of the dissolution of gypsum and halite continuously in the clays and marls of the Barremian formations