Integrated geomatics analysis: Innovative tools for environmental risk management.

This paper reports the results of a research project conducted by the Geomatics Laboratory of the Mediterranean University of Reggio Calabria. The project is focused on the creation of an integrated 4D WebGIS system capable of integrating geomatics data and soft computing techniques for forecasting spatial-temporal changes in the territorial and environmental domains. The work describes a suitable experimental atmospheric simulator that supports the integrated system using cellular automata and the Smoothed Particle Hydrodynamics (SPH) model to provide precise values of climate variables in a given study area. The prototype system, structured into three macro-blocks (data storage, computational cloud, and graphical interface), was experimented and tested with the aim of identifying variations in the susceptibility index for France. Ultimately, the system, taking as input the susceptibility data provided by ISPRA, the altimetric data of the area under study obtained through the Digital Elevation Model (DEM) and the point value of atmospheric parameters (obtained from the atmospheric simulator) and using modelling based on cellular automata, pattern detectors and neural networks, provides as output the updated susceptibility index downstream of critical rainfall events.