Modeling tools and detection technologies in support of a new rescEU CBRN capacity for the management of nuclear-radiological emergencies

This thesis explores the development of an innovative response vehicle, termed DSM, aimed at enhancing capabilities in addressing Chemical, Biological, Radiological, and Nuclear (CBRN) events, with a focus on Nuclear-Radiological (NR) scenarios. The research spans three main technological aspects: decision-making software tools, remote-controlled systems coupled with detection technologies, and the overarching architecture integrating these components. The objective is to improve response capacities to NR emergencies, aligning with European standards and regulations while surpassing existing capabilities. Through theoretical exploration and practical experimentation, the thesis addresses key research questions, including the design of the DSM capacity, modeling dispersion phenomena, and evaluating technological coupling systems. The findings contribute to the creation of a comprehensive architecture facilitating information flow for scenario decision-makers, demonstrated through a prototype developed in collaboration with the Lombardy fire brigade's NBCR unit. This interdisciplinary approach aims to provide superior response mechanisms to complex CBRN scenarios, ensuring effective rescue operations and safeguarding both responders and the public.