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Groundwater flow rate prediction from geo-electrical features using Support Vector Machines: Bagoue dataset, Cote d'Ivoire

Domaine:

environment and energygeospatial

Type de record:

datasetpaper
Créateur:
KOUADIO, Kouao LaurentKOUAME, Loukou NicolasMI BinbinDRISSA Coulibaly
Éditeur:
XIA Jianghai
Éditeur:
Zenodo
Hôte:avatar

We implemented a support vector machines to predict groundwater flow before drilling using electrical resistivity profiling, vertical electrical sounding. We used the data from Cote d’Ivoire, west part of Africa and we tested the composite estimator in region of Bagoue, north part of CIV. Data are composed on electrical resistivity profile, vertical electrical sounding and borehole data. The coordinates of different boreholes are also mentioned.

Visit

doi.org

Tags

Support Vector MachineMachine learninggroundwater flowelectrical methodborehole

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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