Ernest Bladé

Director / associate professor

Universitat Politècnica de Catalunya

Spain

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Ernest Bladé is an Associate Professor and Director at Universitat Politècnica de Catalunya, Spain. His research primarily focuses on machine learning applications in hydrological predictions, numerical modeling of fluid dynamics, and sediment transport analysis. His recent publications explore advanced modeling techniques for environmental assessments, particularly in river-riparian systems and the impacts of mining disasters.

Ernest Bladé

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Articles (20)

Interpretation of a Machine Learning Model for Short-Term High Streamflow Prediction

Evolución de la modelización numérica bidimensional del flujo en lámina libre a través del software Iber

Three-Dimensional Finite Element Modeling of Thermal Stratification in the Riba-Roja Reservoir Confluence: A Fluid–Thermal Multiphysics Approach

Análisis del transporte de sedimentos en el curso bajo del río Ebro mediante modelización numérica de una avenida controlada

Ecological Environment Assessment System in River–Riparian Areas Based on a Protocol for Hydromorphological Quality Evaluation

Reconstructing the Spill Propagation of the Aznalcóllar Mine Disaster

Extension of Iber for Simulating Non–Newtonian Shallow Flows: Mine-Tailings Spill Propagation Modelling

Avances en Iber para la clasificación de balsas: proyecto ACROPOLIS

A Probabilistic Approach for Off-Stream Reservoir Failure Flood Hazard Assessment

Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction

A CUDA Fortran GPU-parallelised hydrodynamic tool for high-resolution and long-term eco-hydraulic modelling

Two‐Dimensional Numerical Modeling of Large Wood Transport in Bended Channels Considering Secondary Current Effects

El rol de los términos de fricción y cohesión en la modelización bidimensional de fluidos no Newtonianos: avalanchas de nieve densa

Velocity Measurements in Highly Aerated Flow on a Stepped Chute without Sidewall Constraint Using a BIV Technique

Protocol to Monitor Water Governance Based on Indicators for Rural Basins

Velocity Measurements in Highly Aerated Flow on a Stepped Chute without Sidewall Constraint Using a BIV Technique

A Machine Learning-Based Surrogate Model for the Identification of Risk Zones Due to Off-Stream Reservoir Failure

A Machine Learning-Based Surrogate Model for the Identification of Risk Zones Due to Off-Stream Reservoir Failure

Revisiting the Hydraulics of the Aznalcóllar Mine Disaster

Revisiting the Hydraulics of the Aznalcollar Mine Disaster

Collaborators (4)

Eduardo Martínez-Gomariz

Juan Soria

L. Solari

Jorge Matos

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