Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT
| 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 | Gómez-Hernández, J. Jaime | |
| dc.contributor.author | Secci, Daniele | es_ES |
| dc.contributor.funder | European Commission | es_ES |
| dc.contributor.funder | Universitat Politècnica de València | |
| dc.date.accessioned | 2025-07-29T12:04:07Z | |
| dc.date.available | 2025-07-29T12:04:07Z | |
| dc.date.issued | 2025-10 | es_ES |
| dc.description.abstract | [EN] This paper extends our previous work on spreadsheet-based steady-state groundwater flow modeling to include transient conditions. Using a step-by-step Excel implementation, a numerical solution for transient groundwater flow in a confined aquifer is presented, highlighting the spreadsheet's educational value in understanding complex groundwater flow phenomena. Implementing transient flow in an easy-to-visualize and interactive way in Excel was not trivial and required the use of macros created with Visual Basic for Applications. Although the actions of the macros were simple to describe, their implementation was challenging. For this reason, we used ChatGPT as a coding companion, which provided the code after being provided with carefully designed prompts. | en_EN |
| dc.description.accrualMethod | S | es_ES |
| dc.description.bibliographicCitation | Gómez-Hernández, J. Jaime;Secci, D. (2025). Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT. Mathematical Geosciences. 57(7):1401-1419. https://doi.org/10.1007/s11004-025-10209-1 | es_ES |
| dc.description.issue | 7 | |
| dc.description.sponsorship | The authors acknowledge project OurMED, which is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 2222. | es_ES |
| dc.description.upvformatpfin | 1419 | |
| dc.description.upvformatpinicio | 1401 | |
| dc.description.volume | 57 | |
| dc.identifier.doi | 10.1007/s11004-025-10209-1 | es_ES |
| dc.identifier.issn | 1874-8961 | es_ES |
| dc.identifier.uri | https://riunet.upv.es/handle/10251/224356 | |
| dc.language | Inglés | es_ES |
| dc.publisher | Springer-Verlag | es_ES |
| dc.relation.ispartof | Mathematical Geosciences | es_ES |
| dc.relation.pasarela | S\558711 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/2222/EU/Sustainable water storage and distribution in the Mediterranean/OurMED/ | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1007/s11004-025-10209-1 | es_ES |
| dc.rights | Reconocimiento (by) | es_ES |
| dc.rights.accessRights | Abierto | es_ES |
| dc.subject | Learning by spreadsheets | es_ES |
| dc.subject | Iterative solutions | es_ES |
| dc.subject | Large language models | es_ES |
| dc.title | Teaching Transient Groundwater Flow Modeling in a Confined Aquifer with Excel and ChatGPT | 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 | 3352 | |
| person.identifier.orcid | 0000-0002-0720-2196 | |
| relation.isAuthorOfPublication | dc809784-2521-432b-aafd-9be1b6ebd0d8 | |
| relation.isAuthorOfPublication.latestForDiscovery | dc809784-2521-432b-aafd-9be1b6ebd0d8 | |
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| upv.uuid | c524a94f-ecbc-4334-ac39-89636d93ab4c | es_ES |
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