Untangling hybrid hydrological models with explainable artificial intelligence
Hydrological models are valuable tools for developing streamflow predictions in unmonitored catchments to increase our understanding of hydrological processes. A recent effort has been made in the development of hybrid (conceptual/machine learning) models that can preserve some of the hydrological p...
Main Authors: | Daniel Althoff, Helizani Couto Bazame, Jessica Garcia Nascimento |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2021-01-01
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Series: | H2Open Journal |
Subjects: | |
Online Access: | http://doi.org/10.2166/h2oj.2021.066 |
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