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This thesis focuses on EEW, and in particular, it explored two novel approaches for which recent methods have been tested and new methodologies have been built in order to potentiate the on-site and regional EW in Italy. The thesis is divided into three main parts. The first part focused on a feasibility study for a nation-wide EEWS in Italy obtained by the integration of the Italian Accelerometric Network, RAN, and the software PRobabilistic and Evolutionary early warning SysTem (hereinafter, PRESTo). The Second part of thesis is centered on a new EEW on-site methodology for Italy, aimed to obtain real time estimation of the Macroseismic Intensity (hereinafter IM) for a target site during an ongoing earthquake. In the third part of the thesis, the possibility to extract in EEW timeframe information on the seismic energy irradiated during an earthquake is explored.

This thesis focuses on EEW, and in particular, it explored two novel approaches for which recent methods have been tested and new methodologies have been built in order to potentiate the on-site and regional EW in Italy. The thesis is divided into three main parts. The first part focused on a feasibility study for a nation-wide EEWS in Italy obtained by the integration of the Italian Accelerometric Network, RAN, and the software PRobabilistic and Evolutionary early warning SysTem (hereinafter, PRESTo). The Second part of thesis is centered on a new EEW on-site methodology for Italy, aimed to obtain real time estimation of the Macroseismic Intensity (hereinafter IM) for a target site during an ongoing earthquake. In the third part of the thesis, the possibility to extract in EEW timeframe information on the seismic energy irradiated during an earthquake is explored.