Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem
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...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Académie des sciences
2023-01-01
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| Series: | Comptes Rendus. Géoscience |
| Subjects: | |
| Online Access: | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.192/ |
| _version_ | 1797651300660281344 |
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| author | Dumont, Marc Plagnes, Valérie Lachassagne, Patrick Guérin, Roger Nugraha, Bayu Mohamad, Febriwan Oudin, Ludovic Fadillah, Arif Valdès, Danièle Brocard, Gilles Bonjour, Jean-Luc Saadi, Mohamed Esneu, Anne-Sophie Muhammad, Aswar Hendarmawan Dörfliger, Nathalie |
| author_facet | Dumont, Marc Plagnes, Valérie Lachassagne, Patrick Guérin, Roger Nugraha, Bayu Mohamad, Febriwan Oudin, Ludovic Fadillah, Arif Valdès, Danièle Brocard, Gilles Bonjour, Jean-Luc Saadi, Mohamed Esneu, Anne-Sophie Muhammad, Aswar Hendarmawan Dörfliger, Nathalie |
| author_sort | Dumont, Marc |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T16:13:00Z |
| format | Article |
| id | doaj.art-34bebe86eabf48a695c5983fc3e99ba2 |
| institution | Directory Open Access Journal |
| issn | 1778-7025 |
| language | English |
| last_indexed | 2024-03-11T16:13:00Z |
| publishDate | 2023-01-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Géoscience |
| spelling | doaj.art-34bebe86eabf48a695c5983fc3e99ba22023-10-24T14:24:43ZengAcadémie des sciencesComptes Rendus. Géoscience1778-70252023-01-0112310.5802/crgeos.19210.5802/crgeos.192Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystemDumont, Marc0https://orcid.org/0000-0002-1629-511XPlagnes, Valérie1https://orcid.org/0000-0002-8659-0739Lachassagne, Patrick2https://orcid.org/0000-0001-6585-0741Guérin, Roger3https://orcid.org/0000-0001-7758-6984Nugraha, Bayu4Mohamad, Febriwan5https://orcid.org/0000-0001-7653-7611Oudin, Ludovic6https://orcid.org/0000-0002-3712-0933Fadillah, Arif7Valdès, Danièle8https://orcid.org/0000-0003-2843-4065Brocard, Gilles9https://orcid.org/0000-0002-0997-2995Bonjour, Jean-Luc10Saadi, Mohamed11https://orcid.org/0000-0001-8951-3993Esneu, Anne-Sophie12Muhammad, Aswar13Hendarmawan14Dörfliger, Nathalie15https://orcid.org/0000-0003-0485-2748Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, France; Urban and Environmental Engineering, Applied Geophysics, University of Liege, B-4000 Liege, BelgiumSorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceHSM, Univ. Montpellier, CNRS, IRD, IMT Mines Alès, Montpellier, FranceSorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceFaculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Sumedang 45363, IndonesiaFaculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Sumedang 45363, IndonesiaSorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceDanone Aqua group, Department of Water Resources, Jakarta, IndonesiaSorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceArchéorient, Maison de l’Orient et de la Méditerranée, Université Louis Lumière-Lyon 2, FranceWater Institute by Evian, Water Resources and Sustainability Division, Danone Waters, Evian-les-Bains, FranceInstitut de Mécanique des Fluides de Toulouse (IMFT)—Université de Toulouse, CNRS-INPT-UPS, Toulouse, France; Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceSorbonne Université, CNRS, EPHE, UMR 7619 METIS, F-75005 Paris, FranceDanone Aqua group, Department of Water Resources, Jakarta, IndonesiaFaculty of Geological Engineering, Universitas Padjadjaran, Jatinangor, Sumedang 45363, IndonesiaWater Institute by Evian, Water Resources and Sustainability Division, Danone Waters, Evian-les-Bains, FranceAndesitic 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.https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.192/GroundwaterGroundwater managementMultidisciplinary approachLumped modelProbabilisticAndesitic setting |
| spellingShingle | Dumont, Marc Plagnes, Valérie Lachassagne, Patrick Guérin, Roger Nugraha, Bayu Mohamad, Febriwan Oudin, Ludovic Fadillah, Arif Valdès, Danièle Brocard, Gilles Bonjour, Jean-Luc Saadi, Mohamed Esneu, Anne-Sophie Muhammad, Aswar Hendarmawan Dörfliger, Nathalie Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem Comptes Rendus. Géoscience Groundwater Groundwater management Multidisciplinary approach Lumped model Probabilistic Andesitic setting |
| title | Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| title_full | Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| title_fullStr | Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| title_full_unstemmed | Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| title_short | Water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| title_sort | water cycle modelling strengthened by probabilistic integration of field data for groundwater management of a quite unknown tropical volcanic hydrosystem |
| topic | Groundwater Groundwater management Multidisciplinary approach Lumped model Probabilistic Andesitic setting |
| url | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.192/ |
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