Article (Scientific journals)
Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem
Dumont, Marc; Plagnes, Valérie; Lachassagne, Patrick et al.
2023In Comptes Rendus Geoscience, 355 (S1), p. 207-229
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Keywords :
Andesitic setting; Groundwater; Groundwater management; Lumped model; Multidisciplinary approach; Probabilistic; Global and Planetary Change; Earth and Planetary Sciences (all); General Earth and Planetary Sciences
Abstract :
[en] Andesitic volcanic hydrosystems in Indonesia are mostly hydrogeologically unknown despite their socio-economic importance. The development of robust and easy-to-implement methodologies to conceptualize and quantify the water cycle components becomes a prerequisite for their sustainable management. We developed a lumped hydrological model to mimic the structure and functioning of a previously unknown hydrosystem located on the flanks of the Salak volcano (West Java). The structure of the aquifers was revealed with electrical resistivity tomography. The distinction between springs fed by the extensive artesian aquifer and others fed by shallow perched aquifers was obtained mostly using hydrochemistry. The elevation of the recharge area was identified using isotopic analysis of spring water. After designing the hydrological model structure, we carried out a probabilistic parameters exploration using the multiple-try differential evolution adaptive Metropolis algorithm to calibrate aquifer discharge. Multiple Markov chains allow a better exploration of the parameter values. The Bayesian approach provides the best water cycle simulation with a parameter uncertainty analysis, improving the accuracy and representation of the water cycle appropriate for previously unknown hydrosystems.
Disciplines :
Earth sciences & physical geography
Environmental sciences & ecology
Author, co-author :
Dumont, Marc ;  Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée ; Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Plagnes, Valérie;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Lachassagne, Patrick;  HSM, Univ. Montpellier, CNRS, IRD, IMT Mines Alès, Montpellier, France
Guérin, Roger;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Nugraha, Bayu;  Faculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Indonesia
Mohamad, Febriwan;  Faculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Indonesia
Oudin, Ludovic;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Fadillah, Arif;  Danone Aqua Group, Department of Water Resources, Jakarta, Indonesia
Valdès, Danièle;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Brocard, Gilles;  Archéorient, Maison de l’Orient et de la Méditerranée, Université Louis Lumière-Lyon 2, France
Bonjour, Jean-Luc;  Water Institute by Evian, Water Resources and Sustainability Division, Evian-les-Bains, France
Saadi, Mohamed;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France ; Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS-INPT-UPS, Toulouse, France
Esneu, Anne-Sophie;  Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, Paris, France
Muhammad, Aswar;  Danone Aqua Group, Department of Water Resources, Jakarta, Indonesia
Hendarmawan;  Faculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Indonesia
Dörfliger, Nathalie;  Water Institute by Evian, Water Resources and Sustainability Division, Evian-les-Bains, France
More authors (6 more) Less
Language :
English
Title :
Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem
Publication date :
2023
Journal title :
Comptes Rendus Geoscience
ISSN :
1631-0713
eISSN :
1778-7025
Publisher :
Elsevier Masson, Paris, France
Volume :
355
Issue :
S1
Pages :
207-229
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This project has been carried out within the collaboration between Sorbonne University (METIS laboratory), Water Institute by Evian, Danone Aqua group and the Universitas Padjajaran (UNPAD). This research was funded by Sorbonne University and Danone Aqua, in the framework of Danone Aqua Waterstewardship acceleration plan on watershed preservation. The authors are grateful to Damien Jougnot (Sorbonne University—METIS laboratory) for his help in the implementation of the MT-DREAMZSalgorithm.
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