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 varia...

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Autores principales:	El Mezouary Lhoussaine, El Mansouri Bouabid
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/a937c0f41c9d41bc97c56585ace81e57
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spelling	oai:doaj.org-article:a937c0f41c9d41bc97c56585ace81e572021-11-08T15:19:09ZApplied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations2267-124210.1051/e3sconf/202131404008https://doaj.org/article/a937c0f41c9d41bc97c56585ace81e572021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/90/e3sconf_wmad2021_04008.pdfhttps://doaj.org/toc/2267-1242It 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.El Mezouary LhoussaineEl Mansouri BouabidEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 314, p 04008 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 El Mezouary Lhoussaine El Mansouri Bouabid Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
description	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.
format	article
author	El Mezouary Lhoussaine El Mansouri Bouabid
author_facet	El Mezouary Lhoussaine El Mansouri Bouabid
author_sort	El Mezouary Lhoussaine
title	Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
title_short	Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
title_full	Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
title_fullStr	Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
title_full_unstemmed	Applied Latin Hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
title_sort	applied latin hypercube stochastic method to quantify the uncertainty in groundwater equation model simulations
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/a937c0f41c9d41bc97c56585ace81e57
work_keys_str_mv	AT elmezouarylhoussaine appliedlatinhypercubestochasticmethodtoquantifytheuncertaintyingroundwaterequationmodelsimulations AT elmansouribouabid appliedlatinhypercubestochasticmethodtoquantifytheuncertaintyingroundwaterequationmodelsimulations
_version_	1718441978774945792

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

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