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Hydrological early warning system based on a deep learning runoff model coupled with a meteorological forecast
(MDPI AG, 2019)
© 2019 by the authors.The intensification of the hydrological cycle because of global warming raises concerns about future floods and their impact on large cities where exposure to these events has also increased. The ...
A radar reflectivity-runoff model for use in flood warning
(1990-12-01)
This model connects directly the radar reflectivity data and hydrological variable runoff. The catchment is discretized in pixels (4 Km × 4 Km) with the same resolution of the CAPPI. Careful discretization is made so that ...
A radar reflectivity-runoff model for use in flood warning
(1990-12-01)
This model connects directly the radar reflectivity data and hydrological variable runoff. The catchment is discretized in pixels (4 Km × 4 Km) with the same resolution of the CAPPI. Careful discretization is made so that ...
Near-real-time satellite precipitation data ingestion into peak runoff forecasting models
(2023)
Extreme peak runoff forecasting is still a challenge in hydrology. In fact, the use of traditional physically-based models is limited by the lack of sufficient data and the complexity of the inner hydrological processes. ...
Influence of random forest hyperparameterization on short-term runoff forecasting in an andean mountain catchment
(2021)
The Random Forest (RF) algorithm, a decision-tree-based technique, has become a promising approach for applications addressing runoff forecasting in remote areas. This machine learning approach can overcome the limitations ...
Flash-flood forecasting in an andean mountain catchment-development of a step-wise methodology based on the random forest algorithm
(2018)
Flash-flood forecasting has emerged worldwide due to the catastrophic socio-economic impacts this hazard might cause and the expected increase of its frequency in the future. In mountain catchments, precipitation-runoff ...
Development of specialized LSTM runoff forecasting models based on GIS and the SCS–CN method in a complex mountain basin
(Universidad de Cuenca, 2023-06-05)
Hydrological forecasting in complex mountain basins is a challenging task. The performance of
machine learning forecasting models can be improved by exploiting available spatial rainfall
datasets and by incorporating ...
Towards the improvement of machine learning peak runoff forecasting by exploiting ground- and satellite-based precipitation data: A feature engineering approach
(Universidad de Cuenca, 2023-05-10)
Peak runoff forecasting in complex mountain systems poses significant challenges in hydrology
due to limitations in traditional physically-based models and data scarcity. However, the
integration of machine learning (ML) ...
Evaluation of WRF model forecasts and their use for hydroclimate monitoring over Southern South America
(American Meteorological Society, 2016-06)
Weather forecasting and monitoring systems based on regional models are becoming increasingly relevant for decision support in agriculture and water management. This work evaluates the predictive and monitoring capabilities ...