Preface of Minisymposium "third Symposium on Mathematical Modelling of Hydrological Sciences"

The challenges that poses the hydrological sciences require a lot of efforts, especially in the development and improvement of mathematical models. The need to understand deeply the phenomena puts us in the condition of create models that are more accurate, but at the same time increase their simplicity and reliability. It is therefore important be provided with high-quality data, whether observed or simulated samples through appropriate software, without forgetting the protection capacity of vulnerable prone areas through geomorphological models. Other problems connected with hydrological similarity for regionalization and DEM scaling for the estimation of peak flow are also tackled. In this minisymposium all these problems are faced with original solutions, to contribute the development of hydrology on science pathway. Flood risk maps are the main focus for Neri et al. [1] who investigate the reliability of hydrodynamic models for simulation of river floods. In particular, this work highlights the differences between a one-dimensional and a two dimensional model to show pros and cons of these two schematizations. Mineo et al. [2] investigate the influence of Depth Duration Frequency estimation method on extreme short duration rainfall values assessment for six pluviographic stations located in Latium region in Central Italy. Russo et al. [3] focus the work on stochastic spatial-temporal modelling of precipitation. The GDSTM (Gaussian Displacements Spatial-Temporal Rainfall Model) model is presented and calibrated using data collected by the weather radar Polar 55C in Rome.