Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow

Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow

Estimating the maximum event water fraction, at which the event water contribution to streamflow reaches its peak value during a precipitation event, gives insight into runoff generation mechanisms and hydrological response characteristics of a catchment. Stable isotopes of water are ideal tracers f...

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Bibliographic Details
Main Authors:	Amir Sahraei, Alejandro Chamorro, Philipp Kraft, Lutz Breuer
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-06-01
Series:	Frontiers in Water
Subjects:	machine learning Artificial Neural Network Support Vector Machine hyperparameter optimization maximum event water fraction isotopic hydrograph separation
Online Access:	https://www.frontiersin.org/articles/10.3389/frwa.2021.652100/full

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