Ph: Figure 7. Pluvial Flood Damage Analysis for the City of Brussels (Belgium). On the Left, the Building Reclassification Around the City Center, Displaying Mostly Residential and Commercial Buildings. On the Right, the Estimated Direct Tangible Damages per Thousand EUR for an Extreme Rainfall Event of RP of 1-100 Years Under the Soil at Saturation Point Scenario

The article “Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas” is finally online, published by the Journal Water Economics and Policy (Vol. 08, No. 03, 2240007, 2022) as part of the Special Issue on Disaster Impacts and Adaptation: The Economics of Flooding, Guest Editor: Maura Allaire

The article describes a methodology for rapid probabilistic pluvial flood hazard mapping and risk assessments in urban environments developed for the Copernicus Climate Change Service “Pluvial Flood Risk Assessment in Urban Areas” demonstrator project for large computational domains. To promote a method for rapid mapping of probabilistic pluvial flood hazard events, the study used the SaferPlaces algorithm Safer_RAIN, a simplified raster-based model based on a hierarchical filling and spilling algorithm.

The methodology is designed to be flexible and robust enough to be adapted to other cities in Europe and elsewhere, and is composed of three main steps: (i) computation of the intensity–frequency relationship to express the depth of extreme hourly rainfall events at the urban scale; (ii) characterization of the pluvial flood hazard by means of raster-based flood modeling, and; (iii) estimation of the direct tangible damages at the building level for residential, commercial, and industrial buildings. The results of this study can be useful for supporting the implementation of the Sendai Framework for DRR 2015–2030, for developing multi-hazard risk assessments, and for supporting the development of national climate change adaptation plans. Read the full article freely available online (https://doi.org/10.1142/S2382624X22400070).

For the complete list of all our publications, please follow this link: Scientifically-proven hazard and damage modelling – SaferPlaces