Groundwater Flow Rate Prediction From Geo‐Electrical Features Using Support Vector Machines-Reference-Cited by-同舟云学术

Groundwater Flow Rate Prediction From Geo‐Electrical Features Using Support Vector Machines

Published:2022-07 Issue:7 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Kouadio Kouao Laurent¹²^ORCID,Kouame Loukou Nicolas²,Drissa Coulibaly³,Mi Binbin¹^ORCID,Kouamelan Kouamelan Serge²⁴^ORCID,Gnoleba Serge Pacôme Déguine²^ORCID,Zhang Hongyu¹,Xia Jianghai¹^ORCID

Affiliation:

1. Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou China

2. Equipe de Recherche Géophysique Appliquée Laboratoire de Géologie Ressources Minérales et Energétiques UFR des Sciences de la Terre et des Ressources Minières Université Félix Houphouët‐Boigny Abidjan Cote d’Ivoire

3. Laboratoire du Génie Civil, des Géosciences et des Sciences Géographiques Ecole Supérieure des Mines et Géologie Institut National Polytechnique d’Houphouët Boigny Yamoussoukro Côte d’Ivoire

4. Key Laboratory of Geo‐Detection School of Geophysics and Information Technology China University of Geosciences Beijing China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031623

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