Short-Term Hydrological Forecast Using Artificial Neural Network Models with Different Combinations and Spatial Representations of Hydrometeorological Inputs

Short-Term Hydrological Forecast Using Artificial Neural Network Models with Different Combinations and Spatial Representations of Hydrometeorological Inputs

In hydrological modelling, artificial neural network (ANN) models have been popular in the scientific community for at least two decades. The current paper focuses on short-term streamflow forecasting, 1 to 7 days ahead, using an ANN model in two northeastern American watersheds, the Androscoggin an...

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Bibliographic Details
Main Authors: Renaud Jougla, Robert Leconte
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Water
Subjects:
hydrological forecast
artificial neural network models
watershed state input
spatial discretization
soil moisture
streamflow
Online Access:https://www.mdpi.com/2073-4441/14/4/552

Internet

https://www.mdpi.com/2073-4441/14/4/552

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