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Artificial Intelligence–Driven Groundwater Vulnerability Assessment: A Case Study of the Maknassy Basin, Central Tunisia

Domaine:

environment and energy
Créateur:
ZouNaiAmnBac
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttps://doi.org/10.15223/policy-017https://doi.org/10.15223/policy-037https://doi.org/10.15223/policy-012https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-004

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This study presents the novelty artificial intelligence in geospatial analysis for flood vulnerabili

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Groundwater is a vital resource for domestic, agricultural, industrial activities and ecosystem serv

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International audience

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A review of groundwater vulnerability assessment in Kenya

Groundwater represents 95% of the world’s unfrozen freshwater. The use of groundwater has significan