Titre :

A Probabilistic Approach for Spring Recession Flows Analysis

Auteur(s) :

Carlier, Erick [Auteur]
Laboratoire de Mécanique de Lille - FRE 3723 [LML]
Khattabi, Jamal El [Auteur]
Laboratoire Génie Civil et Géo-Environnement [Béthune] [LGCgE]

Titre de la revue :

Open Journal of Modern Hydrology

Pagination :

11-18

Éditeur :

Scientific Research Publishing

Date de publication :

2015

ISSN :

2163-0461

Mot(s)-clé(s) en anglais :

Recession
Spring
Groundwater
Bayesian Approach
Markovian Process

Discipline(s) HAL :

Planète et Univers [physics]/Sciences de la Terre/Hydrologie
Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des fluides [physics.class-ph]

Résumé en anglais : [en]

Spring recession flows are analyzed from a Bayesian point of view. Two general equations are derived and it is shown that the classical formulas of recession flow are particular cases of both equations. It is shown that ...
Lire la suite >Spring recession flows are analyzed from a Bayesian point of view. Two general equations are derived and it is shown that the classical formulas of recession flow are particular cases of both equations. It is shown that most of the recession equations reflect a non-Markovian process. That means that the groundwater storage exhibits a memory effect and that there is a nonlinear relationship between flow and storage. The Bayesian approach presented in this paper makes it possible to give a probabilistic meaning to recession flow equations derived according to a physical approach and can be an alternative to the study of complex reservoir for which the physical processes governing recession flow are unclear. Twelve spring recession flow series are analysed in order to validate the probabilistic approach presented in this paper and a conceptual model of storage-outflow is proposed.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Laboratoire Génie Civil et géo-Environnement (LGCgE) - ULR 4515

Source :

Harvested from HAL

Date de dépôt :

2025-02-26T13:13:04Z