Microbial quality assessment of Beni Aamir and Beni Moussa groundwater (Tadla plain-Morocco)

Hafiane, Fatima Zahra; Tahri, Latifa; Nouayti, Nordine; Jarmouni, Mohamed El; Rochdi, Rajaa; Arifi, Karim; Idrissi, Abdelkhalek Elamrani; Fekhaoui, Mohammed

doi:10.5004/dwt.2020.26144

Cited by 3 publications

(1 citation statement)

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“…4B). Chloride displays a moderate positive charge, which can be attributed to significant hydrothermal water circulation in the study area (Hafiane et al, 2020b). Component (2) is characterised by high loadings of Mn 2+ , CO 3 -, K + , Cu 2+ , and Cd 2+ , which are notably distributed in wells 18, 13, 17, 10, 12, 13, 15, and 16.…”

Section: Statistical Approaches To Resultsmentioning

confidence: 98%

Assessment of heavy metal pollution in groundwater using a multivariate analysis approach

Sbai,

Tahri,

Hafiane

et al. 2024

Journal of Water and Land Development

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The current study aims to assess underground water pollution using an integrated approach that combines statistical methods such as principal component analysis (PCA) and water quality diagrams (Piper diagram, Schoeller– Berkalov diagram). A total of twenty water samples were collected from the Tiflet region in the Sebou basin and analysed for various physicochemical parameters, including temperature, pH, and heavy metal concentrations (Cu2+, Zn2+, Fe2+ and Pb2+). The average concentrations of Pb2+, Zn2+, Cu2+, and Fe2+ in the water samples were found to be 41.9, 14.8, 20.1, and 8.1 mg∙dm–3, respectively. These concentrations indicate a significant presence of heavy metals in the groundwater samples. Therefore, it can be concluded that the groundwater in this area is heavily polluted with heavy metals and other pollutants. This finding raises concerns regarding the use of this water for irrigation and agricultural activities in the region. This suggests that these four components play a crucial role in determining the overall water quality. The distribution patterns of the metals Pb2+, Zn2+, Cu2+, and Fe2+ in the well water within the study area are of particular environmental concern. It is recommended to establish a monitoring network to ensure the sustainable management of water resources in order to address this issue effectively.

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Section: Statistical Approaches To Resultsmentioning

confidence: 98%

Assessment of heavy metal pollution in groundwater using a multivariate analysis approach

Sbai,

Tahri,

Hafiane

et al. 2024

Journal of Water and Land Development

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Incidence, identification and antibiotic resistance of Salmonella spp. in the well waters of Tadla Plain, Morocco

Hafiane,

Tahri,

El Jarmouni

et al. 2024

Sci Rep

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Concerns about challenges with water availability in the Tadla Plain region of Morocco have grown as a result of groundwater contamination brought on by human activity, climate change, and insufficient groundwater management. The objective of the study is to measure the number of resistant bacteria in the groundwater of Beni Moussa and Beni Aamir, as well as to evaluate the level of water pollution in this area. 200 samples were therefore gathered from 43 wells over the course of four seasonal campaigns in 2017 and 2018. Additionally, the samples were examined to determine whether Salmonella species were present and if they were resistant to the 16 antibiotics that were tested. Salmonella spp. have been identified in 31 isolated strains in total, accounting for 18.02% of all isolated strains. Data on antibiotic resistance show that 58.1% of Salmonella spp. strains are multidrug-resistant (MDR); 38.7% of Salmonella strains are tolerant to at least six antibiotics, 19.4% to at least nine antibiotics, 9.7% to four to seven antibiotics, 6.5% to at least eleven antibiotics, and the remaining 3.2% to up to twelve antibiotics. A considerable level of resistance to cefepime (61.29%), imipenem (54.84%), ceftazidime (45.16%), ofloxacin (70.97%), and ertapenem (74.19%) was found in the data. Consequently, it is important to monitor and regulate the growth of MDR in order to prevent the groundwater's quality from declining.

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Groundwater vulnerability assessment using GIS modeling for north-east area of Tadla plain (Morocco)

Didi¹,

Hafiane²,

Bazzar³

et al. 2023

Desalination and Water Treatment

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Microbial quality assessment of Beni Aamir and Beni Moussa groundwater (Tadla plain-Morocco)

Cited by 3 publications

References 0 publications

Assessment of heavy metal pollution in groundwater using a multivariate analysis approach

Assessment of heavy metal pollution in groundwater using a multivariate analysis approach

Incidence, identification and antibiotic resistance of Salmonella spp. in the well waters of Tadla Plain, Morocco

Groundwater vulnerability assessment using GIS modeling for north-east area of Tadla plain (Morocco)

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