Short-term salinity prediction for coastal areas of the Vietnamese Mekong Delta using various machine learning algorithms: a case study in Soc Trang Province

Short-term salinity prediction for coastal areas of the Vietnamese Mekong Delta using various machine learning algorithms: a case study in Soc Trang Province

Abstract Saltwater intrusion has significant and diverse impacts on agriculture, freshwater resources, and the well-being of coastal communities. To effectively address this issue, precise models for predicting saltwater intrusion must be developed, as well as timely information for reaction plannin...

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Bibliographic Details
Main Authors: Le Thi Thanh Dang, Hiroshi Ishidaira, Ky Phung Nguyen, Kazuyoshi Souma, Jun Magome
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Applied Water Science
Subjects:
Salinity
Machine learning models
Optimal time
Coastal communities
Vietnamese Mekong Delta
Online Access:https://doi.org/10.1007/s13201-025-02419-z
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https://doi.org/10.1007/s13201-025-02419-z

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