Water quality index, risk assessment in a coastal aquifer: the Djendjen aquifer (Jijel, Algeria)

Attoui, Badra; Sayad, Lamine; Majour, Habiba; Harizi, Khaled; Drouiche, Nadjib; Bouguerra, Hamza

doi:10.1007/s11852-024-01031-8

Cited by 2 publications

References 23 publications

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Assessing Drinking Water Quality in El-Oued, South-East Algeria, Utilizing the Groundwater Pollution Index (GPI) and the Synthetic Pollution Index (SPI) model

ZAIR,

ATTOUI,

MILOUDI

et al. 2024

Preprint

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To assess the suitability of deep groundwater in El-Oued for drinking purposes and quantify its hydrochemical characteristics, a study was conducted on 22 boreholes. The alteration and dissolution of carbonates, evaporates, salts, and partly silicates, ion exchange, and evaporation are the main hydrogeochemical progressions leading to water salinization. The combination of these processes, in an environment conducive to the concentration of dissolved elements, has positively contributed to the evolution of the salinity of these waters in the research region. The results of Groundwater Pollution Index (GPI) show that 18.18%, 54.54%, and 27.27% were weakly polluted, moderately, and highly polluted for drinking consumption, respectively. The examination of the Synthetic Pollution Index (SPI) findings indicates that 9.09% were deemed potable, while 36.36% exhibited weak pollution, 36.36% displayed moderate pollution, and 18.18% were classified as highly polluted for drinking purposes. Potable water sources are generally limited and are located in the northeast and in the vicinity of the city of Ourmes in the study zone according to the spatial distribution maps of GPI model and SPI model.

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Assessing Drinking Water Quality in El-Oued, South-East Algeria, Utilizing the Groundwater Pollution Index (GPI) and the Synthetic Pollution Index (SPI) model

ZAIR,

ATTOUI,

MILOUDI

et al. 2024

Preprint

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Geostatistical methods for mapping groundwater nitrate concentrations: a case study of the El-Oued region

Abdelmonem,

Nadjet,

Badra

et al. 2024

Water Supply

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Geostatistical modeling is a powerful tool for improving the characterization, management, and prediction of decision-making processes. The Wilaya of El-Oued is considered the backbone of agriculture in Algeria, covering 40% of the total cultivated area in the country. This makes it one of the regions with the highest consumption of agricultural fertilizers to meet the aspirations of local authorities in this field. Additionally, it has experienced significant population growth in recent years, coupled with a weak sewage network, which could lead to the direct contamination of groundwater and the region's natural resources. This study aims to test various deterministic interpolation methods, such as the inverse distance weighting (IDW) method, the radial basis function (RBF), and the geostatistical methodology (point kriging), for mapping nitrates in 113 wells in the El-Oued aquifer. We utilized Surfer 20 for this purpose. Given the significant differences in estimates based on the methods used, it is appropriate to evaluate the spatial distribution maps of nitrates obtained by comparing their predictive qualities through the calculation of the mean estimation error. The results indicate the superiority of the point kriging technique compared with deterministic estimates, with R2 estimation errors of about 0.067.

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Water quality index, risk assessment in a coastal aquifer: the Djendjen aquifer (Jijel, Algeria)

Cited by 2 publications

References 23 publications

Assessing Drinking Water Quality in El-Oued, South-East Algeria, Utilizing the Groundwater Pollution Index (GPI) and the Synthetic Pollution Index (SPI) model

Assessing Drinking Water Quality in El-Oued, South-East Algeria, Utilizing the Groundwater Pollution Index (GPI) and the Synthetic Pollution Index (SPI) model

Geostatistical methods for mapping groundwater nitrate concentrations: a case study of the El-Oued region

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