Machine learning-based prediction of harmful algal blooms in water supply reservoirs

Machine learning-based prediction of harmful algal blooms in water supply reservoirs

Harmful algal blooms (HABs) pose a potential risk to human and ecosystem health. HAB occurrences are influenced by numerous environmental factors; thus, accurate predictions of HABs and explanations about the predictions are required to implement preventive water quality management. In this study, m...

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Bibliographic Details
Main Authors: Bongseok Jeong, Maria Renee Chapeta, Mingu Kim, Jinho Kim, Jihoon Shin, YoonKyung Cha
Format: Article
Language:English
Published: IWA Publishing 2022-11-01
Series:Water Quality Research Journal
Subjects:
cyanobacteria bloom
data imbalance
feature importance
machine learning
shap
water quality management
Online Access:http://wqrjc.iwaponline.com/content/57/4/304

Internet

http://wqrjc.iwaponline.com/content/57/4/304

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