Deep Learning for Streamflow Regionalization for Ungauged Basins: Application of Long-Short-Term-Memory Cells in Semiarid Regions

Deep Learning for Streamflow Regionalization for Ungauged Basins: Application of Long-Short-Term-Memory Cells in Semiarid Regions

Rainfall-runoff modeling in ungauged basins continues to be a great hydrological research challenge. A novel approach is the Long-Short-Term-Memory neural network (LSTM) from the Deep Learning toolbox, which few works have addressed its use for rainfall-runoff regionalization. This work aims to disc...

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Bibliographic Details
Main Authors: Francisco José Matos Nogueira Filho, Francisco de Assis Souza Filho, Victor Costa Porto, Renan Vieira Rocha, Ályson Brayner Sousa Estácio, Eduardo Sávio Passos Rodrigues Martins
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
ungauged basins
Long-Short-Term-Memory
semiarid
streamflow
Online Access:https://www.mdpi.com/2073-4441/14/9/1318

Internet

https://www.mdpi.com/2073-4441/14/9/1318

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