Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios

Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios

ABSTRACT Researchers have widely applied discharge simulation using artificial neural networks (ANNs) and have gained prominence in water resources. Morphological features, watershed urbanization, and climate change influence hydrological variables. Thus, data‐driven models need to be able to identi...

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Bibliographic Details
Main Authors: Abderraman R. Amorim Brandão, Dimaghi Schwamback, Frederico C. M. deMenezes Filho, Paulo T. S. Oliveira, Maria Clara Fava
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Journal of Flood Risk Management
Subjects:
climate change models
flood prediction
hydrological model
machine learning
Online Access:https://doi.org/10.1111/jfr3.70029
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https://doi.org/10.1111/jfr3.70029

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