2022
DOI: 10.3390/w15010118
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Groundwater Vulnerability and Potentially Toxic Elements Associated with the Iron Mining District of Ouixane (Northeast of Morocco)

Abstract: This study aims to investigate the groundwater vulnerability concerning potentially toxic elements in the vicinity of the abandoned iron mine of Ouixane (Morocco). A modified DRASTIC method (DRSTI) is proposed with satisfactory results. High vulnerability zones represent 40% of the study area, while medium and low vulnerability represent, respectively, 42% and 18% of the study area. These results have been validated by groundwater geochemical analyses of potentially toxic elements carried out in the framework … Show more

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Cited by 3 publications
(1 citation statement)
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“…Feng et al [27] presented a framework and quantitative method for groundwater environmental risk analysis at different phases of the mine life cycle composed of the groundwater system destruction risk and social-economic-ecological vulnerability assessment. Irina et al [28], Azzeddine et al [29], Jiang et al [30], Yang et al [31], Zhang et al [32], and Zhang [33] conducted hydrogeochemical studies to identify the specific features and potentially toxic elements associated with the mining district by assessing the groundwater vulnerability. Patrick and Christopher [34] presented the robustness of 'first-flush' empirical models for describing and predicting mine water behavior.…”
Section: Introductionmentioning
confidence: 99%
“…Feng et al [27] presented a framework and quantitative method for groundwater environmental risk analysis at different phases of the mine life cycle composed of the groundwater system destruction risk and social-economic-ecological vulnerability assessment. Irina et al [28], Azzeddine et al [29], Jiang et al [30], Yang et al [31], Zhang et al [32], and Zhang [33] conducted hydrogeochemical studies to identify the specific features and potentially toxic elements associated with the mining district by assessing the groundwater vulnerability. Patrick and Christopher [34] presented the robustness of 'first-flush' empirical models for describing and predicting mine water behavior.…”
Section: Introductionmentioning
confidence: 99%