An Automated Framework for Probabilistic River Flood Risk Assessment: The Po River Basin

River flooding is a major concern in Italy, which has experienced a very long history of disasters. This paper investigates flood risk in River Po basin in northern Italy.  The area is highly vulnerable due to rapidly subsiding soils and dense urban concentration in low lands, and hosts a large portion of the Italian population. The complex plane system intertwines high-value industrial areas with an extensive agricultural land that ensures over one third of the national food production yearly. Because of the complex set of services provided and ecosystems that coexist, it is crucial to be able to assess flood risk and its translation to local impacts. The objective of this research is to carry out a probabilistic risk assessment on river flooding.  We use a suite of high-resolution (100 m) river flood hazard maps across multiple return periods and combine them with demographic, infrastructural, and socio-economic datasets to estimate potential losses and damages. We identify the most exposed assets and population groups by quantifying productivity reductions and economic losses, while explicitly acknowledging the role of ecosystem services in mitigating impacts. To ensure consistent and fine-scale exposure estimates, we apply a suite of geospatial downscaling techniques that integrate spatial and satellite-derived information with building footprint data, which are subsequently aggregated to the municipal level. The resulting outputs deliver actionable, high-resolution impact data and a set of climate risk indicators designed to support risk assessment, adaptation planning, and evidence-based decision-making.