Stakeholders’ Interaction in Water Management System: Insights from a MACTOR Analysis in the R’Dom Sub-basin, Morocco

This paper aims to examine the stakeholders' interaction in the water management system at the R'Dom Sub-basin (Morocco). For this purpose, The MACTOR participatory approach was implemented to involve all key water stakeholders and to analyze their interactions. The action system was characterized by the analysis of related water issues and relevant actors on the ground. Thus, ten actors and twelve objectives were identified and assessed in this study. The analysis of stakeholder role allowed to identify the typology of stakeholders according to their strategic objectives and to evaluate their power, influence and dependence, as well as their convergence in a global water cycle management. The results show a significant level of convergence among stakeholders, despite the existence of certain stakeholders who may be considered autonomous, given their low involvement in integrated water management. Furthermore, there was a limited involvement of stakeholders in certain strategic objectives such as capacity building, technical means, and awareness-raising actions. The paper shows the need to generate greater collaborative efforts among water stakeholders involved in the implementation of integrated water resources management in the R'Dom sub-basin.info:eu-repo/semantics/publishedVersio

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

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

Groundwater flow equation, overview, derivation, and solution

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

A study of water infiltration basin and clogging using column experiments

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

Hydrological modelling for flood forecasting in Kénitra catchments, Western of Morocco

The Kenitra city located in western of Morocco. It is a port on the Sbu river, has a population in 2014 of 431,282. This city has known a rapid growth in the number of inhabitants due to the migration of the surrounding villages, as well as the growth of a group of industrial activities, as this city is the third economic city in Morocco, as it contains the third industrial zone in Morocco, this region follows the activity of car factories. Given its social and economic importance, protecting it from flood risks is a priority for decision-makers. In this paper, we developed a hydrological model using HEC-HMS tools for the purpose of protecting human life and economic activities from the risk of floods. The forecast model has been used in order to identify and regions at risk from flooding and to take other precautions to protect life. Additionally, a forecast can provide the basis for preparing critical infrastructure for floods in order to minimize damage

Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco

Abstract Groundwater resources in Morocco often face sustainability challenges due to increased exploitation and climate change. Specifically, the Al-Haouz-Mejjate groundwater in the Marrakesh region is faced with overexploitation and insufficient recharge. However, the complex subsurface geometries hamper hydrogeological modeling, characterization, and effective management. Reliably estimating aquifer substrate topography is critical for groundwater models but is challenged by limited direct measurements. This study develops nonlinear machine learning models to infer substrate depths by fusing sparse borehole logs with regional geospatial data. A Gaussian process regression approach provided robust holistic mapping, leveraging flexibility, and uncertainty quantification. Supplementary neural network architectures focus on isolating specific variable relationships, like surface elevation–substrate. Model accuracy exceeded 0.8 R-squared against validation boreholes. Spatial visualizations confirmed consistency across landscape transects. Elevation and piezometric data proved most predictive, though multivariate inputs were required for the lowest errors. The results highlight the power of statistical learning to extract meaningful patterns from disparate hydrological data. However, model opacity and the need for broader training datasets remain barriers. Overall, the work demonstrates advanced machine learning as a promising avenue for illuminating complex aquifer geometries essential for sustainability. Hybrid approaches that use both data-driven and physics-based methods can help solve long-standing problems with hydrogeological characterization

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

L'aquifère de la rivière Magra est la principale source de l'eau potable, de l'industrie et de l'agriculture dans la zone de La Spezia (NW de l'Italie). Toutefois, la nappe souffre d'une forte vulnérabilité aux problèmes de la surexploitation et de la pollution. A cet effet, après l'établissement du modèle conceptuel du système et la définition des conditions aux limites en utilisant, nous avons réalisé une modélisation hydrodynamique et de transport de solutés par le biais du code MODFLOW/GMS7.1. Le modèle est calé en régime permanent puis en transitoire sur la période 2004-2011. Le calage du modèle a montré l'importance des apports de la rivière de Magra dans le bilan de la nappe. Ces apports participent avec 66 % des entrées vers la nappe. En plus, le calage en régime transitoire montre une variation saisonnière de la piézométrie, la différence d'amplitude peut atteindre 2 m dans les zones de captage. Cette variation a été observée également lors de l'analyse de certains éléments chimiques des eaux de la nappe de Magra tels que Cl, SO4 ainsi que pour le total des solides dissous (TDS). Afin de contrôler ce phénomène, nous avons élaboré un modèle de transport par le code MT3DMS/GMS après avoir défini les paramètres et les conditions aux limites relatives au modèle de transport. La dispersivité et la porosité effective ont étés calées et sont respectivement de l'ordre de 4 m et 11-29 %. Les simulations ont montré que le transport dans l'aquifère de Magra est conditionné plutôt par l'advection que par la diffusion-dispersion