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Deep learning for streamflow forecasting in semi-arid basins

Alberto Mena Rafael J.Bergillos Javier Paredes-Arquiola Joaquín Andreu Abel Solera

水科学与水工程2026，Vol.19Issue(3)：419-430,12.

水科学与水工程2026，Vol.19Issue(3)：419-430,12.DOI:10.1016/j.wse.2026.05.002

Deep learning for streamflow forecasting in semi-arid basins

Alberto Mena ¹Rafael J.Bergillos ¹Javier Paredes-Arquiola ¹Joaquín Andreu ¹Abel Solera¹

作者信息

1. Research Institute of Water and Environmental Engineering(IIAMA),Universitat Politècnica de València,Valencia 46022,Spain
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摘要

关键词

Streamflow forecasting/Deep learning/Semi-arid basin/Temporal cross-validation/Water resources management

Key words

Streamflow forecasting/Deep learning/Semi-arid basin/Temporal cross-validation/Water resources management

引用本文复制引用

Alberto Mena,Rafael J.Bergillos,Javier Paredes-Arquiola,Joaquín Andreu,Abel Solera..Deep learning for streamflow forecasting in semi-arid basins[J].水科学与水工程,2026,19(3):419-430,12.

基金项目

This work was supported by the Spanish Research Agency and the Eu-ropean Biodiversity Partnership for NBSPLUS project(Grant No.PCI2025-163161)and the Spanish Research Agency(Contract No.PRE2022-102012). （Grant No.PCI2025-163161）

水科学与水工程

ISSN：1674-2370

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