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  • Pages
  • Editions
01 Home
02 Introduction
03 OPERATIONAL DAMAGE FORECASTING CHAIN
04 Improvement of the probabilistic overflow hazard modelling chain in France
05 Probabilistic exposure model for earthquakes in Metropolitan Franceaux séismes en France métropolitaine
06 Development of a multiperil damage platform
07 DROUGHT
08 Understanding the phenomenon of clay shrinking and swelling by means of an indicator aggregated by commune: the magnitude of droughts
09 Tree detection from very high-resolution imagery data in drought-prone areas
10 CLIMATE CHANGE
11 Estimated damage to crop losses on French farms
12 Constant climate simulations and continuous simulations to model extreme events
13 WARNING AND PREVENTION
14 Anticipatory modelling of insurance losses, an application of the PICS research project
15 Contribution of CCR models to measure the effectiveness of prevention measures on insured losses
16 A WIDER MODEL SCOPE
17 Modelling forest fire hazard
18 Anticipatory modelling of hurricane damage
19 INTERNATIONAL
20 Multi-hazard event typology for Western Europe
21 Improving knowledge of the exposure of Moroccan buildings to flooding
22 CCR NAT CAT AWARD
23 LOOKING BACK TO 2021
24 LOOKING BACK TO 2022
25 CITATIONS & PUBLICATIONS
26 INFOS & RÉSEAUX SOCIAUX

INTERNATIONAL

Multi-hazard event typology for Western Europe

The study of the interrelationships of natural hazards highlights the complexity of extreme climatological, geophysical, and hydrological processes and brings new scientific challenges. It is essential to understand the vectors and determinants leading to interrelationships between hazards for the analysis of their impact on exposed territories. This article aims to go beyond the study of hazard pairs by proposing a typology of multi-hazard events: multi-hazard networks. This typology covers 16 natural hazards (multi-hazards) in the European Atlantic Region (EAR) and proposes five multi-hazard networks..

Aloïs Tilloy and Bruce D. Malamud

Improving knowledge of the exposure of Moroccan buildings to flooding

Work has been carried out by the European Space Agency to detect the spatial distribution of buildings in Morocco and their specificities. The different housing areas were mapped using satellite images and machine learning tools. This work contributes to the improvement of the damage model provided by the CCR, RiskWeatherTech and Atmorra consortium in 2020 to the FSEC during a project funded by the World Bank..

Thomas Esch, Mattia Marconcini, Miguel A. Belenguer-Plomer, Alberto Lorenzo, Abderrahim Chaffai, Abderrahim Oulidi, Noureddine Filali, Ahmed Reda Hadji, Reda Aboutajdine, Fabio Cian, Jean-Philippe Naulin, Roxane Marchal, Thomas Onfroy and David Moncoulon