LSTM Recurrent Neural Network for Streamflow Forecasting in the Upper Basin of the Guayalejo-Tamesí River, Mexico

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:52Z
Fecha de publicación2026-01-01
ResumenWater scarcity has emerged as a critical issue in Mexico, with water quality and management undergoing constant changes due to natural phenomena and human activities. Recent advancements in machine learning have demonstrated promising results in forecasting climatological and hydrological variables. This study employs a Long Short-Term Memory (LSTM) recurrent neural network to correlate 52 years of historical rainfall and streamflow data from the Upper Basin of the Guayalejo-Tamesi River in Tamaulipas, Mexico, aiming to provide accurate flow forecasts through the rainfall historical data. The results show that LSTM produced a Root Mean Squared Error (RMSE) of 110.44. We acknowledge various factors like data cleaning processes such as imputation and outlier removal, the accuracy of historical data, and unconsidered climatological variables as potential influences on the network’s performance.es_ES
Doihttps://doi.org/10.1007/978-3-032-13497-4_3es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5612
Idiomaenes_ES
EditorialSpringer Science and Business Media Deutschland GmbHes_ES
RelaciónIntelligent Systems Reference Libraryes_ES
URL relacionadohttps://doi.org/10.1007/978-3-032-13497-4_3es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteIntelligent Systems Reference Library
Palabra claveBasines_ES
Palabra claveLong-short term memoryes_ES
Palabra claveRNNes_ES
Palabra claveStreamflow forecastinges_ES
Palabra claveTime serieses_ES
TítuloLSTM Recurrent Neural Network for Streamflow Forecasting in the Upper Basin of the Guayalejo-Tamesí River, Mexicoes_ES
TipoCapítulo Libroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorRomán-Rangel, Estefanía
AutorTerán-Villanueva, Jesús David
AutorPeña-Alonso, Tomás Alejandro
AutorIbarra-Martínez, Salvador
AutorPonce-Flores, Mirna Patricia
AutorRomán-Rangel, Estefaníaes_ES
AutorTerán-Villanueva, Jesús Davides_ES
AutorPeña-Alonso, Tomás Alejandroes_ES
AutorIbarra-Martínez, Salvadores_ES
AutorPonce-Flores, Mirna Patriciaes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas81-99es_ES
URL relacionadahttps://doi.org/10.1007/978-3-032-13497-4_3
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen283es_ES

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