Examining the effectiveness of artificially replicated lake systems in predicting eutrophication indicators: a comparative data-driven analysis

Examining the effectiveness of artificially replicated lake systems in predicting eutrophication indicators: a comparative data-driven analysis

Data-driven models for the prediction of lake eutrophication essentially rely on water quality datasets for a longer duration. If such data are not readily available, lake management through data-driven modeling becomes impractical. So, a novel approach is presented here for the prediction of eutrop...

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Bibliographic Details
Main Authors: Biswajit Bhagowati, Kamal Uddin Ahamad
Format: Article
Language:English
Published: IWA Publishing 2024-02-01
Series:Water Quality Research Journal
Subjects:
eutrophication
gaussian process regression (gpr)
machine learning
multilayer perceptron (mlp)
support vector regression (svr)
time-delay neural network (tdnn)
Online Access:http://wqrjc.iwaponline.com/content/59/1/1

Internet

http://wqrjc.iwaponline.com/content/59/1/1

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