Grey Wolf Optimizer for estimating confined and leaky aquifers parameters from transient time-drawdown data

dc.contributor.authorMihoubi, Mohamed
dc.contributor.authorZaanouini, Abdeladhim
dc.contributor.authorTadj, Walid, Directeur de thèse
dc.date.accessioned2023-02-20T13:10:45Z
dc.date.available2023-02-20T13:10:45Z
dc.date.issued2020
dc.descriptionLaghouat : Université Amar Telidji - Département de génie civil Option : Ressources hydrauliques .
dc.description.abstractThe knowledge of aquifer parameters is important in many groundwater engineering applications. Usually, these parameters are poorly derived from time-drawdown data by manual curve matching. In this study, we propose an automatic approach for estimating confined and leaky aquifers parameters from time-drawdown data. We linked the Grey Wolf Optimizer (GWO) with two analytical drawdown solutions, the Theis solution for analyzing time-drawdown data coming from confined aquifers, and Hantush and Jacob solution for those coming from leaky aquifers. We tested the proposed approach on three time-drawdown datasets, and we compared the obtained results with those obtained by using the manual curve matching. The obtained results are accurate and exceed by far those obtained by using the manual curve matching
dc.identifier.urihttps://dspace.lagh-univ.dz/handle/123456789/5461
dc.language.isoen
dc.titleGrey Wolf Optimizer for estimating confined and leaky aquifers parameters from transient time-drawdown data
dc.typeThesis

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