Groundwater Forecasting using a Numerical Flow Model Coupled with Machine Learning Model for Synthetic Time Series

Mezouary, Lhoussaine El; Mansouri, Bouâbid El; Bouhaddioui, Mohammed El

doi:10.1145/3399205.3399230

Cited by 7 publications

(6 citation statements)

References 22 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%

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%

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

Mezouary

Mansouri

2021

E3S Web Conf.

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“…In this way, the integrated water resources management (IWRM) framework has been widely used as management approach that takes into consideration, in a combined manner, economic, environmental, and social aspects (Collins et al 2020;Giordano and Shah 2014;Lenton 2011;Schröder 2019). In line with the IWRM approach, the sharing of water data and information among actors, as well as stakeholder participation, represent essential supporting elements for water resources management policy planning and implementation (El Mezouary et al 2020a;Godinez-Madrigal et al 2019;Jarar Oulidi 2019). Several water managers and experts have developed and used various models and analysis tools to support the implementation of water management policies (Cosgrove and Loucks 2015;Elhassnaoui et al 2021;Hermans 2005;Hermans and Thissen 2009;Saleem et al 2021).…”

Section: Introductionmentioning

confidence: 99%

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

Ben-Daoud

Mahrad

Moroșanu

et al. 2022

Environmental Management

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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.

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“…In this way, the integrated water resources management (IWRM) framework has been widely used as management approach that takes into consideration economic, environmental, and social aspects all combined (Collins et al, 2020;Giordano and Shah, 2014;Lenton, 2011;Schröder, 2019). In line with the IWRM approach, the sharing of water data and information among actors, as well as stakeholder participation, is the supporting elements for water resources management policy planning and implementation (El Mezouary et al, 2020a;Godinez-Madrigal et al, 2019;Jarar Oulidi, 2019) Several water managers and experts have developed and used various models and analysis tools to support the implementation of water management policies (Cosgrove and Loucks, 2015;Elhassnaoui et al, 2021;Hermans, 2005;Hermans and Thissen, 2009;Saleem et al, 2021). However, experience has shown a gap between the work of stakeholders and the real use of proposed solutions by water experts, despite their use of new advanced technologies (Hermans, 2005;Pellegrini et al, 2019) .…”

Section: Introductionmentioning

confidence: 99%

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

Ben-Daoud¹,

Mahrad²,

Moroșanu³

et al. 2021

Preprint

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This article aims to understand the typologies of stakeholders, their role in the water resources management system in the R’Dom Sub-basin(Morocco), and to identify the current and desired interactions among stakeholders. For this purpose, The MACTOR participatory approach was adopted to involve all key water stakeholders and to analyze their interactions. The action system was characterized by the analysis of related issues and relevant actors on the ground. Thus, ten actors and twelve objectives were identified and assessed in this study. The analysis of stakeholder games allowed to identify the typologies of stakeholders according to their strategic objectives and to evaluate their power, influence and dependence, as well as their convergence in a global water management system. 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.

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Groundwater Forecasting using a Numerical Flow Model Coupled with Machine Learning Model for Synthetic Time Series

Cited by 7 publications

References 22 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

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

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

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