Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models

Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models

Abstract Salinity intrusion stands out as a severe yet escalating challenge facing the water resource management and agricultural production of the Mekong Delta in Vietnam as a result of climate change and upstream hydrological changes. This paper assesses the efficacy of six different machine learn...

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Bibliographic Details
Main Authors: Phong Nguyen Duc, Thang Tang Duc, Giap Pham Van, Hoat Nguyen Van, Tuan Tran Minh
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Artificial Intelligence
Subjects:
Mekong delta
Vietnam
Machine learning
Deep learning
Salinity intrusion
Water management
Online Access:https://doi.org/10.1007/s44163-025-00336-3
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https://doi.org/10.1007/s44163-025-00336-3

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