Differentiation of Sahelian aquifers from chemical and isotopic composition using linear statistics and machine learning-Reference-Cited by-同舟云学术

Differentiation of Sahelian aquifers from chemical and isotopic composition using linear statistics and machine learning

Published:2023-12-22 Issue:1 Volume:69 Page:106-119
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Barry Abdoul-Azize¹²^ORCID,Yameogo Suzanne¹,Touzani Meryem³,Nakolendoussé Samuel¹,Jabrane Meryem⁴,Touiouine Abdessamad⁴⁵,Mohsine Ismail⁵,Barbiero Laurent⁶,Valles Vincent²⁷

Affiliation:

1. Laboratoire de Géoscience et Environnement, Département des Sciences de la Terre, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso

2. UMR EMMAH Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes, Avignon université, Avignon, France

3. Environment and Natural Resources Department, National Institute of Agronomic Research, Rabat, Morocco

4. Laboratory of Geosciences, Department of Geology, Faculty of Sciences, University Ibn Tofail, Kénitra, Maroc

5. Geosciences, Water and Environment Laboratory, Faculty of Sciences Rabat, Mohammed V University, Rabat, Morocco

6. IRD, CNRS, Université de Toulouse, UMR 5563, Géoscience Environnement Toulouse, Toulouse, France

7. Faculté des Sciences et Techniques (FSTBM), Beni Mellal, Morocco

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2023.2288209

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4. Statistical approach of factors controlling drainage network patterns in arid areas. Application to the Eastern Anti Atlas (Morocco)

5. Hydrogeochemical and multi-tracer investigations of arsenic-affected aquifers in semi-arid West Africa