The occurrence of rainfall Extraordinary Extreme Events (EEEs) in Mediterranean areas
causes serious concerns to the engineers involved in the design of flood and landslide risk …

Despite the significant performance of machine learning models for streamflow prediction,
their precision for poorly represented data is reduced. This is a concern for flood mitigation …

In this paper the estimation of high return period quantiles of the flood peak and volume in
the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a …

Anomalous patterns are common phenomena in time series datasets. The presence of
anomalous patterns in hydrological data may represent some anomalous …

Los fenómenos que se analizan en el campo de la ingeniería con un análisis de frecuencia
son habitualmente eventos extremos como inundaciones y sequías. Con frecuencia estos …

Climate change predictions and subsequent consequences on the hydrological cycle have
received increased attention over the past decades. While many studies explore climate …

Mixture distributions have been widely used for modeling hydrometeorological variables
resulting from more one generating mechanisms. However, a small number of studies has …

Phenomena analyzed in the field of engineering with frequency analyses are usually
extreme events such as floods and droughts. Such events frequently have as origin the …