Appraisal of data-driven techniques for predicting short-term streamflow in tropical catchment

Appraisal of data-driven techniques for predicting short-term streamflow in tropical catchment

Short-term streamflow prediction is essential for managing flood early warning and water resources systems. Although numerical models are widely used for this purpose, they require various types of data and experience to operate the model and often tedious calibration processes. Under the digital re...

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Bibliographic Details
Main Authors: Kai Lun Yeoh, How Tion Puay, Rozi Abdullah, Teh Sabariah Abd Manan
Format: Article
Language:English
Published: IWA Publishing 2023-07-01
Series:Water Science and Technology
Subjects:
climate change
data-driven models
kulim river
multiple linear regression
random forest
short-term streamflow prediction
Online Access:http://wst.iwaponline.com/content/88/1/75

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http://wst.iwaponline.com/content/88/1/75

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