Modélisation numérique de la variation saisonnière de la qualité des eaux souterraines de l'aquifère de Magra, Italie

Mezouary, Lhoussaine El; Mansouri, Bouâbid El; Kabbaj, Samir; Scozzari, Andrea; Doveri, Marco; Menichini, Matia; Kili, Malika

doi:10.1051/lhb/20150015

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…Therefore, these analytical solutions apply in principle only to specific cases (uniform flow, infinite or semi-infinite medium, low heterogeneity in particular). Their validation, therefore, requires recourse to in situ experiments (for example [27]) or to numerical simulations [6,[28][29][30][31][32][33]. The results of these different works show that these solutions can be applied to cases where the spatial variability of 𝐾ℎ is low.…”

Section: Groundwater Flow Equation Stochastic Approachmentioning

confidence: 99%

“…The results of these different works show that these solutions can be applied to cases where the spatial variability of 𝐾ℎ is low. Pursuing the goal of extending the potential field of application of the results from stochastic theory, some authors have focused on solving the flow and transport equations in non-uniform flow cases [32,34].…”

Section: Groundwater Flow Equation Stochastic Approachmentioning

confidence: 99%

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Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations

Mezouary

Mansouri

2021

E3S Web Conf.

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It is accepted that digital models simplify the physical reality that is the object of the modeling. Hydrodynamic modeling is an approach with high uncertainties in this context. Indeed, the deterministic modeling approach assumes the existence of a functional relationship between the observed variables. The variables are observed by a series of measurements riddled with errors. Because of this, there is always a significant amount of uncertainty associated with a hydrogeological model. This uncertainty can be associated with the conceptual model or with the data and parameters associated with the different components of the model. Some model parameters such as hydraulic conductivity and recharge are particularly susceptible to uncertainty. Stochastic modeling of the hydrodynamics of a groundwater reservoir is an adequate response to allow us to take a step back on the significance of the results. The study is based on the development of a direct problem-solving model which represents the best estimate of the real hydrodynamic system. This model is used to make predictions. With a stochastic approach, a set of models is constructed where each model, as a whole, is considered to be equally likely. Each model is then used to make the prediction or simulate a given scenario. The MODFLOW-STOCHASTIC-GMS code allows us to do randomization simulations (Latin Hypercube method) and with parameter indicators.

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Section: Groundwater Flow Equation Stochastic Approachmentioning

confidence: 99%

Section: Groundwater Flow Equation Stochastic Approachmentioning

confidence: 99%

Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations

Mezouary

Mansouri

2021

E3S Web Conf.

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“…Infiltration basins are a good management tool for rainwater and treated wastewater. Widely used today as an alternative to the sewerage network of stormwater, which reduces the risk of flooding, contributes to the trapping of pollutants, and allows the settling of suspended matter loaded with pollutants [1][2][3]. Infiltration basins are also known to recharge the groundwater as well as other benefits [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A study of water infiltration basin and clogging using column experiments

2021

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The clogging of infiltration basins is the main problem affecting the proper functioning of groundwater artificial recharge systems. In this study, several parameters have been varied to understand their impacts on water infiltration. The experimental results show that the effect of initial humidity is significant for less porous material such as silty soil (Hamri) and sand. The air bubbles are also an important factor to take into consideration since when trapped within porous structures, it forms a barrier for the displacement of water infiltration. The accumulation of suspended particles in stormwater can contribute to clogging by creating a light layer due to the finest particles, which remain in suspension for a long time. Finally, for the tested materials and experimental conditions, we observed that a combination of a silty soil and sand layer in the design of infiltration basins was more practical than a combination of sand and gravel. The latter, despite its high porosity, could release very fine particles; which would create a cement layer of clogging when deposited at the interface. This layer is an obstacle for water infiltration, thus rendering the device thus constructed unsuitably for groundwater recharge, by reducing its life.

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“…Excessive exploitation of fresh water has raised demand for groundwater, prompting many academics to concentrate their efforts on understanding the phenomena of groundwater flow, and as a result, new research has focused on groundwater flow modeling [1][2][3][4][5][6][7][8]. One of the basic answers for deterministic mathematical models of groundwater flow is the Theis equation.…”

Section: Introductionmentioning

confidence: 99%

Groundwater flow equation, overview, derivation, and solution

Mezouary

Mansouri

2021

E3S Web Conf.

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Darcy’s law is the basic law of flow, and it produces a partial differential equation is similar to the heat transfer equation when coupled with an equation of continuity that explains the conservation of fluid mass during flow through a porous media. This article, titled the groundwater flow equation, covers the derivation of the groundwater flow equations in both the steady and transient states. We look at some of the most common approaches and methods for developing analytical or numerical solutions. The flaws and limits of these solutions in reproducing the behavior of water flow on the aquifer are also discussed in the article.

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Modélisation numérique de la variation saisonnière de la qualité des eaux souterraines de l'aquifère de Magra, Italie

Cited by 7 publications

References 4 publications

Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations

Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations

A study of water infiltration basin and clogging using column experiments

Groundwater flow equation, overview, derivation, and solution

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