Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

Abstract Multifarious anthropogenic activities triggered by rapid urbanization has led to contamination of water sources at unprecedented rate, with less surveillance, investigation and mitigation. The use of artificial intelligence (AI) in tracking and predicting water quality parameters has surpas...

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Bibliographic Details
Main Authors: Yeshi Choden, Sonam Chokden, Tenzin Rabten, Nimesh Chhetri, Komal Raj Aryan, Khameis Mohamed Al Abdouli
Format: Article
Language:English
Published: Springer 2022-10-01
Series:SN Applied Sciences
Subjects:
Wangchu river
Water quality parameters
Data-driven models
Artificial intelligence
Online Access:https://doi.org/10.1007/s42452-022-05181-y

Internet

https://doi.org/10.1007/s42452-022-05181-y

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