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Flash-flood forecasting in an andean mountain catchment-development of a step-wise methodology based on the random forest algorithm
ArticleAbstract: Flash-flood forecasting has emerged worldwide due to the catastrophic socio-economic impacts this haPalabras claves:Flash-flood, forecasting, Lag analysis, Machine learning, Precipitation-runoff, random forestAutores:Johanna Orellana-Alvear, Patrick Willems, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopusFlood early warning systems using machine learning techniques: The case of the tomebamba catchment at the southern Andes of Ecuador
ArticleAbstract: Worldwide, machine learning (ML) is increasingly being used for developing flood early warning systePalabras claves:Andes, Flood early warning, forecasting, hydrological extremes, Machine learningAutores:Bendix J., Jan Jozef Albert Feyen, Johanna Orellana-Alvear, Paul Muñoz, Rolando Enrique Célleri AlvearFuentes:googlescopusNear-real-time satellite precipitation data ingestion into peak runoff forecasting models
ArticleAbstract: Extreme peak runoff forecasting is still a challenge in hydrology. In fact, the use of traditional pPalabras claves:Baseflow separation, Extreme runoff, Feature engineering, forecasting, IMERG, PERSIANN, Tropical AndesAutores:Corzo G., Jan Jozef Albert Feyen, Paul Muñoz, Rolando Enrique Célleri Alvear, Solomatine D.Fuentes:googlescopus