Balancing drinking water security and conservation: A spatial multi-objective optimization framework for regional groundwater management under global change
| dc.contributor.affiliation | Departamento de Ingeniería Hidráulica y Medio Ambiente | |
| dc.contributor.affiliation | Instituto Universitario de Ingeniería del Agua y del Medio Ambiente | |
| dc.contributor.affiliation | Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos | |
| dc.contributor.author | Neverre, Noemie | es_ES |
| dc.contributor.author | Herman, Jonathan D. | es_ES |
| dc.contributor.author | Schorpp, Ludovic | es_ES |
| dc.contributor.author | Lanini, Sandra | es_ES |
| dc.contributor.author | Pulido-Velazquez, M. | |
| dc.contributor.author | Caballero, Yvan | es_ES |
| dc.contributor.funder | European Regional Development Fund | es_ES |
| dc.contributor.funder | Agence Nationale de la Recherche, Francia | es_ES |
| dc.contributor.funder | Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation, Francia | es_ES |
| dc.date.accessioned | 2026-03-03T08:06:28Z | |
| dc.date.available | 2026-03-03T08:06:28Z | |
| dc.date.issued | 2026-04 | es_ES |
| dc.description.abstract | [EN] Ensuring long-term drinking water security is a critical challenge for water managers worldwide, fueled by multiple pressures including increasing water demand, deteriorating water quality, and reduced resource availability with climate change. This study addresses the need for integrated and spatially-explicit modeling tools for drinking water management at regional scale. It develops a methodological framework to support management strategies that balance drinking water security and environmental objectives, by combining drinking water supply hydro-economic modeling with high-resolution hydrogeological modeling and multiobjective optimization techniques. The coupling makes it possible to account for the spatial impacts of abstractions on groundwater levels, river-groundwater interaction, risks of salinization and satisfaction of drinking water demand, while optimizing their distribution and allocation. The framework is applied to the plain of Roussillon case study (Mediterranean France), providing insights for water management and demonstrating the scalability of the approach to a large-scale problem (167 decision variables). Results indicate optimal abstractions should be redistributed from the Pliocene toward the Quaternary aquifer (and toward upstream areas) to satisfy drinking water demands while avoiding seawater intrusion. However, results show that it will not be possible to fully satisfy future demand under drier climate without violating seawater intrusion constraints. Implementing demand-side management measures is a win-win-win strategy that reduces water shortages and environmental impacts to aquifers and rivers. Results also suggest that current regulatory abstraction caps are too generous to prevent future decline in piezometric levels under drier climate. The developed methodological framework can generalize to other basins and support analyses of adaptation strategies. | en_EN |
| dc.description.accrualMethod | S | es_ES |
| dc.description.bibliographicCitation | Neverre, N.; Herman, JD.; Schorpp, L.; Lanini, S.; Pulido-Velazquez, M.; Caballero, Y. (2026). Balancing drinking water security and conservation: A spatial multi-objective optimization framework for regional groundwater management under global change. Journal of Hydrology. 668. https://doi.org/10.1016/j.jhydrol.2026.134950 | es_ES |
| dc.description.references | Artelia (2017). Schéma de sécurisation des besoins en eau potable de la Plaine du Roussillon aux horizons 2017 – 2030 – 2050 (phases 1, 2 et 3). | es_ES |
| dc.description.references | Asher, M. J., Croke, B. F. W., Jakeman, A. J., & Peeters, L. J. M. (2015). A review of surrogate models and their application to groundwater modeling. Water Resources Research, 51(8), 5957-5973. Portico. https://doi.org/10.1002/2015wr016967 | es_ES |
| dc.description.references | Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J., & Fienen, M. N. (2016). Scripting <scp>MODFLOW</scp> Model Development Using Python and <scp>FloPy</scp>. Groundwater, 54(5), 733-739. Portico. https://doi.org/10.1111/gwat.12413 | es_ES |
| dc.description.references | Barthel, R., & Banzhaf, S. (2015). Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated Models. Water Resources Management, 30(1), 1-32. https://doi.org/10.1007/s11269-015-1163-z | es_ES |
| dc.description.references | Boretti. (2019). Reassessing the projections of the world water development report. npj Clean Water. 2(15). | es_ES |
| dc.description.references | Caballero. (2015). Impact of climate change on groundwater in a Mediterranean confined aquifer. HESSD. 12(10). | es_ES |
| dc.description.references | Caballero Y., Ladouche B., Dewandel B., (2022). Modèle conceptuel du comportement des eaux souterraines de l’aquifère Plio-Quaternaire de la plaine du Roussillon, de 1960 à nos jours. Production #23 du projet Dem’Eaux Roussillon, BRGM/RP-71763-FR http://infoterre.brgm.fr/rapports//RP-71763-FR.pdf. | es_ES |
| dc.description.references | Cao, T., Han, D., & Song, X. (2021). Past, present, and future of global seawater intrusion research: A bibliometric analysis. Journal of Hydrology, 603, 126844. https://doi.org/10.1016/j.jhydrol.2021.126844 | es_ES |
| dc.description.references | Chabart, M. (1995). La recharge de l’aquifère multicouche du Roussillon et les conséquences d’un éventuel changement climatique sur la gestion de la ressource en eau. PhD thesis. https://theses.fr/1995PA066281. | es_ES |
| dc.description.references | Christelis, V., Regis, R. G., & Mantoglou, A. (2017). Surrogate-based pumping optimization of coastal aquifers under limited computational budgets. Journal of Hydroinformatics, 20(1), 164-176. https://doi.org/10.2166/hydro.2017.063 | es_ES |
| dc.description.references | Dall’Alba, V., Renard, P., Straubhaar, J., Issautier, B., Duvail, C., & Caballero, Y. (2020). 3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse. Hydrology and Earth System Sciences, 24(10), 4997-5013. https://doi.org/10.5194/hess-24-4997-2020 | es_ES |
| dc.description.references | Dibaj, M., Javadi, A. A., Akrami, M., Ke, K.-Y., Farmani, R., Tan, Y.-C., & Chen, A. S. (2020). Modelling seawater intrusion in the Pingtung coastal aquifer in Taiwan, under the influence of sea-level rise and changing abstraction regime. Hydrogeology Journal, 28(6), 2085-2103. https://doi.org/10.1007/s10040-020-02172-4 | es_ES |
| dc.description.references | Fatkhutdinov, A., & Stefan, C. (2018). Multi‐Objective Optimization of Managed Aquifer Recharge. Groundwater, 57(2), 238-244. Portico. https://doi.org/10.1111/gwat.12793 | es_ES |
| dc.description.references | Farina, G., Neverre, N., Hérivaux, C., Barriere, J., Pinson, S., Habarou, H., Pereau, J.-C., & Le Coënt, P. (2024). How to account for spatial trade-offs in planning for urban climate adaptation? Optimizing green and grey infrastructures. Journal of Environmental Management, 372, 123380. https://doi.org/10.1016/j.jenvman.2024.123380 | es_ES |
| dc.description.references | Galassi, G., & Spada, G. (2014). Sea-level rise in the Mediterranean Sea by 2050: Roles of terrestrial ice melt, steric effects and glacial isostatic adjustment. Global and Planetary Change, 123, 55-66. https://doi.org/10.1016/j.gloplacha.2014.10.007 | es_ES |
| dc.description.references | Gleeson, T., Wada, Y., Bierkens, M. F. P., & van Beek, L. P. H. (2012). Water balance of global aquifers revealed by groundwater footprint. Nature, 488(7410), 197-200. https://doi.org/10.1038/nature11295 | es_ES |
| dc.description.references | Hadka, D. (2024). Platypus: A Framework for Evolutionary Computing in Python (Version 1.4.1) [Computer software]. Retrieved from https://github.com/Project-Platypus/Platypus. | es_ES |
| dc.description.references | Harou, J. J., Pulido-Velazquez, M., Rosenberg, D. E., Medellín-Azuara, J., Lund, J. R., & Howitt, R. E. (2009). Hydro-economic models: Concepts, design, applications, and future prospects. Journal of Hydrology, 375(3-4), 627-643. https://doi.org/10.1016/j.jhydrol.2009.06.037 | es_ES |
| dc.description.references | Herman, J. D., Reed, P. M., Zeff, H. B., & Characklis, G. W. (2015). How Should Robustness Be Defined for Water Systems Planning under Change? Journal of Water Resources Planning and Management, 141(10). https://doi.org/10.1061/(asce)wr.1943-5452.0000509 | es_ES |
| dc.description.references | Hou, J., Jiang, Y., Wei, T., Wang, Z., & Wang, X. (2025). A Multi-Objective Simulation-Optimization framework for water resources management in canal-well conjunctive irrigation area based on nexus perspective. Journal of Hydrology, 646, 132308. https://doi.org/10.1016/j.jhydrol.2024.132308 | es_ES |
| dc.description.references | HYDRIAD Eau et Environnement (2014). Etude des volumes prélevables des nappes plio-quaternaires de la plaine du Roussillon. https://www.nappes-roussillon.fr/IMG/zip/evp_nappes_roussillon.zip. | es_ES |
| dc.description.references | Konikow, L.F., Kendy, E. (2005). Groundwater depletion: A global problem. Hydrogeol J 13, 317–320 (2005). doi:10.1007/s10040-004-0411-8. | es_ES |
| dc.description.references | Kopsiaftis, G., Kaselimi, M., Protopapadakis, E., Voulodimos, A., Doulamis, A., Doulamis, N., & Mantoglou, A. (2023)Frontiers in Water, 5. doi:10.3389/frwa.2023.1195029. | es_ES |
| dc.description.references | Kwakkel, J. H., Walker, W. E., & Haasnoot, M. (2016). Coping with the Wickedness of Public Policy Problems: Approaches for Decision Making under Deep Uncertainty. Journal of Water Resources Planning and Management, 142(3). https://doi.org/10.1061/(asce)wr.1943-5452.0000626 | es_ES |
| dc.description.references | Ladouche, B., Dörflinger, N. (2004) Synthèse de la caractérisation des systèmes karstiques des Corbières Orientales. Rapport final de la phase 1 du projet « Evaluation des ressources en eau des corbières ». Volume 2. Caractérisation géologique et hydrogéologique du système karstique du « synclinal du Bas Agly ». Rapport BRGM/RP-52920-FR. | es_ES |
| dc.description.references | Lapworth, D. J., Boving, T. B., Kreamer, D. K., Kebede, S., & Smedley, P. L. (2022). Groundwater quality: Global threats, opportunities and realising the potential of groundwater. Science of The Total Environment, 811, 152471. https://doi.org/10.1016/j.scitotenv.2021.152471 | es_ES |
| dc.description.references | Langevin C.D., Hughes J.D., Banta E.R., Niswonger R.G., Panday S., Provost A.M. (2017) Documentation for the MODFLOW 6 groundwater flow model. doi:10.3133/tm6A55. | es_ES |
| dc.description.references | Lanini. (2019). Recharge des aquifères à l’échelle de la France : Estimation, évolution et incertitudes associées. | es_ES |
| dc.description.references | Lempert. (2003). Shaping the next one hundred years: new methods for quantitative, long-term policy analysis. Rand Corporation. | es_ES |
| dc.description.references | Leveque. (2021). Impact of climate change on the vulnerability of drinking water intakes in a northern region. Sustain. Cities Soc. | es_ES |
| dc.description.references | Long, J., & Robertson, C. (2017). Comparing spatial patterns. Geography Compass, 12(2). Portico. https://doi.org/10.1111/gec3.12356 | es_ES |
| dc.description.references | Luo, Q., Yang, Y., Qian, J., Wang, X., Chang, X., Ma, L., Li, F., & Wu, J. (2020). Spring protection and sustainable management of groundwater resources in a spring field. Journal of Hydrology, 582, 124498. https://doi.org/10.1016/j.jhydrol.2019.124498 | es_ES |
| dc.description.references | Matrosov, E. S., Huskova, I., Kasprzyk, J. R., Harou, J. J., Lambert, C., & Reed, P. M. (2015). Many-objective optimization and visual analytics reveal key trade-offs for London’s water supply. Journal of Hydrology, 531, 1040-1053. https://doi.org/10.1016/j.jhydrol.2015.11.003 | es_ES |
| dc.description.references | Matrosov, E. S., Padula, S., & Harou, J. J. (2012). Selecting Portfolios of Water Supply and Demand Management Strategies Under Uncertainty—Contrasting Economic Optimisation and ‘Robust Decision Making’ Approaches. Water Resources Management, 27(4), 1123-1148. https://doi.org/10.1007/s11269-012-0118-x | es_ES |
| dc.description.references | Neverre, N., & Dumas, P. (2015). Projecting and valuing domestic water use at regional scale: A generic method applied to the Mediterranean at the 2060 horizon. Water Resources and Economics, 11, 33-46. https://doi.org/10.1016/j.wre.2015.06.001 | es_ES |
| dc.description.references | Neverre, N. (2024). An adaptable participatory modelling framework to anticipate needs for securing regional drinking water supply systems under global changes. Water Resources Management, 38(6), 2209-2227. https://doi.org/10.1007/s11269-024-03754-7 | es_ES |
| dc.description.references | Neverre. (2025). Un outil d’aide à la décision pour élaborer une stratégie collective de sécurisation de l’AEP / a decision-support tool for developing a collective strategy for drinking water security. TSM. 4. | es_ES |
| dc.description.references | Padula. (2013). Least economic cost regional water supply planning—optimising infrastructure investments and demand management for South East England’s 17.6 Million People. Water Resour. Manag. 27(15). | es_ES |
| dc.description.references | Petelet-Giraud, E., Négrel, P., Aunay, B., Ladouche, B., Bailly-Comte, V., Guerrot, C., Flehoc, C., Pezard, P., Lofi, J., & Dörfliger, N. (2016). Coastal groundwater salinization: Focus on the vertical variability in a multi-layered aquifer through a multi-isotope fingerprinting (Roussillon Basin, France). Science of The Total Environment, 566-567, 398-415. https://doi.org/10.1016/j.scitotenv.2016.05.016 | es_ES |
| dc.description.references | Sauquet, E., Evin, G., Siauve, S., Aissat, R., Arnaud, P., Bérel, M., Bonneau, J., Branger, F., Caballero, Y., Colléoni, F., Ducharne, A., Gailhard, J., Habets, F., Hendrickx, F., Héraut, L., Hingray, B., Huang, P., Jaouen, T., Jeantet, A., Lanini, S., Le Lay, M., Magand, C., Mimeau, L., Monteil, C., Munier, S., Perrin, C., Robelin, O., Rousset, F., Soubeyroux, J.-M., Strohmenger, L., Thirel, G., Tocquer, F., Tramblay, Y., Vergnes, J.-P., and Vidal, J.-P. (2025). A large transient multi-scenario multi-model ensemble of future streamflow and groundwater projections in France, EGUsphere [preprint], doi:10.5194/egusphere-2025-1788. | es_ES |
| dc.description.references | Schorpp, L., Dall’Alba, V., Renard, P., Lanini, S., & Caballero, Y. (2023). Hydrogeological modeling of the Roussillon coastal aquifer (France): stochastic inversion and analysis of future stresses. Environmental Earth Sciences, 82(9). https://doi.org/10.1007/s12665-023-10877-4 | es_ES |
| dc.description.references | Song, J., Yang, Y., Wu, J., Wu, J., Sun, X., & Lin, J. (2018). Adaptive surrogate model based multiobjective optimization for coastal aquifer management. Journal of Hydrology, 561, 98-111. https://doi.org/10.1016/j.jhydrol.2018.03.063 | es_ES |
| dc.description.references | Song, J., Yang, Y., Sun, X., Lin, J., Wu, M., Wu, J., & Wu, J. (2020). Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China. Hydrology and Earth System Sciences, 24(5), 2323-2341. https://doi.org/10.5194/hess-24-2323-2020 | es_ES |
| dc.description.references | Taccari, M. L., Nuttall, J., Chen, X., Wang, H., Minnema, B., & Jimack, P. K. (2022). Attention U-Net as a surrogate model for groundwater prediction. Advances in Water Resources, 163, 104169. https://doi.org/10.1016/j.advwatres.2022.104169 | es_ES |
| dc.description.references | Thiéry, D. (2021). Code de calcul MARTHE version 7.8 Modélisation 3D des écoulements et des transferts dans les hydrosystèmes (No. RP-69541-FR). BRGM. Retrieved from https://www.brgm.fr/sites/default/files/documents/2022-01/logiciel-marthe-notice-utilisationgenerale-rp-69541-fr.pdf. | es_ES |
| dc.description.references | Tramblay, Y., Sauquet, E., Arnaud, P., Rousset, F., Soubeyroux, JM., Hingray, B., Jaouen, T., Jeantet, A., Munier, S., Vergnes, JP. (2024). Scénarios d’extrêmes hydrologiques, doi:10.57745/2XDJ5H, Recherche Data Gouv, V3. | es_ES |
| dc.description.references | Wang, X., Li, Z., & Li, M. (2018). Impacts of climate change on stream flow and water quality in a drinking water source area, Northern China. Environmental Earth Sciences, 77(11). https://doi.org/10.1007/s12665-018-7581-5 | es_ES |
| dc.description.references | Wang, X.-J., Zhang, J.-Y., Shahid, S., Xie, W., Du, C.-Y., Shang, X.-C., & Zhang, X. (2017). Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics. Environment, Development and Sustainability, 20(2), 911-924. https://doi.org/10.1007/s10668-017-9919-7 | es_ES |
| dc.description.references | Wu, B., Zheng, Y., Wu, X., Tian, Y., Han, F., Liu, J., & Zheng, C. (2015). Optimizing water resources management in large river basins with integrated surface water‐groundwater modeling: A surrogate‐based approach. Water Resources Research, 51(4), 2153-2173. Portico. https://doi.org/10.1002/2014wr016653 | es_ES |
| dc.description.sponsorship | This research was supported by the French National Research Agency (convention N◦19-CARN 0003-01), and partially funded by the French Ministry of Higher Education Research and Innovation, the European Regional Development Fund (ERDF) through the Occitanie Region, the Rhone Mediterranean and Corsica Water Agency, the Perpignan Mediterranée Metropole Communaute Urbaine, the Pyrénées Orientales department council and the French Geological Survey (BRGM), as part of the Dem'Eaux Roussillon project. The authors benefitted from the use of the cluster at the Centre de Calcul Scientifique en region Centre-Val de Loire. | es_ES |
| dc.description.volume | 668 | es_ES |
| dc.identifier.doi | 10.1016/j.jhydrol.2026.134950 | es_ES |
| dc.identifier.issn | 0022-1694 | es_ES |
| dc.identifier.uri | https://riunet.upv.es/handle/10251/233093 | |
| dc.language | Inglés | es_ES |
| dc.publisher | Elsevier | es_ES |
| dc.relation.ispartof | Journal of Hydrology | es_ES |
| dc.relation.pasarela | S\575533 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/ANR//19-CARN 0003-01/ | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1016/j.jhydrol.2026.134950 | es_ES |
| dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
| dc.rights.accessRights | Abierto | es_ES |
| dc.subject | Drinking water | es_ES |
| dc.subject | Distributed groundwater model | es_ES |
| dc.subject | Hydro-economic modeling | es_ES |
| dc.subject | Multi-objective optimization | es_ES |
| dc.subject | Global change | es_ES |
| dc.subject | Seawater intrusion | es_ES |
| dc.title | Balancing drinking water security and conservation: A spatial multi-objective optimization framework for regional groundwater management under global change | es_ES |
| dc.type | Artículo | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dspace.entity.type | Publication | es_ES |
| person.identifier | 185418 | |
| person.identifier.orcid | 0000-0001-7009-6130 | |
| relation.isAuthorOfPublication | 1465a467-d8d6-4121-b05c-0e05c7a07425 | |
| relation.isAuthorOfPublication.latestForDiscovery | 1465a467-d8d6-4121-b05c-0e05c7a07425 | |
| relation.isOrgUnitOfPublication | e8876040-9428-45e8-b805-b5bbc20e9e1e | |
| relation.isOrgUnitOfPublication | 937991bf-5e71-4f67-ae2a-1fb780a35167 | |
| relation.isOrgUnitOfPublication | a4b47ff5-95f4-430f-a1a3-541cb8eaa9b7 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e8876040-9428-45e8-b805-b5bbc20e9e1e | |
| upv.uuid | ef0cd60e-ffe8-46a6-abd8-a47322f39b21 | es_ES |
Archivos
Bloque original
1 - 1 de 1
Cargando...
- Nombre:
- NeverreHermanSchorpp - Balancing drinking water security and conservation A spatial multi-objecti....pdf
- Tamaño:
- 12.8 MB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Versión editorial