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Machine learning models for spatial prediction of groundwater potentiality in a large semi-arid mountainous region: application to the rherhaya watershed, High Atlas, Morocco

dc.contributor.authorJadoud, Mourad
dc.contributor.authorEl Achheb, Abderrahim
dc.contributor.authorLaftouhi, Noureddine
dc.contributor.authorNamous, Mustapha
dc.contributor.authorKhouz, Abdellah
dc.contributor.authorTrindade, Jorge
dc.contributor.authorEl Bchari, Fatima
dc.contributor.authorBougadir, Blaid
dc.contributor.authorEloudi, Hasna
dc.contributor.authorRachidi, Said
dc.date.accessioned2023-07-12T18:00:57Z
dc.date.available2023-07-12T18:00:57Z
dc.date.issued2023
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJADOUD, M., EL ACHHEB, A., LAFTOUHI, N., NAMOUS, M., KHOUZ, A., TRINDADE, J., EL BCHARI, F., BOUGADIR, B., ELOUDI, H., RACHIDI, S. (2023) Machine Learning Models for Spatial Prediction of Groundwater Potentiality in a Large Semi-Arid Mountainous Region: Application to the Rherhaya Watershed, High Atlas, Morocco. EGU General Assembly 2023, Geophysical Research Abstracts, EGU23- 16375. 23 a 28 abril, Viena, Áustria.pt_PT
dc.identifier.doihttps://doi.org/10.5194/egusphere-egu23-16375pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/14374
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleMachine learning models for spatial prediction of groundwater potentiality in a large semi-arid mountainous region: application to the rherhaya watershed, High Atlas, Moroccopt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.titleEGU General Assembly 2023pt_PT
person.familyNameKhouz
person.familyNameTrindade
person.givenNameAbdellah
person.givenNameJorge
person.identifier.ciencia-id911C-D5A7-F284
person.identifier.ciencia-id1411-A43D-9266
person.identifier.orcid0000-0003-4514-5281
person.identifier.orcid0000-0001-5610-5942
person.identifier.ridM-9060-2013
person.identifier.scopus-author-id7003458343
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationf48eeb3f-121f-4cf3-b894-ccbaf2f901b3
relation.isAuthorOfPublicationab80ebde-e734-424d-9df2-a211973d5827
relation.isAuthorOfPublication.latestForDiscoveryab80ebde-e734-424d-9df2-a211973d5827

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