Building Disaster Resilience to Natural Hazards in
Sub-Saharan Africa Regions, Countries and Communities

Country Risk Profiles
The assessment methodology followed a probabilistic approach, making use of data available at regional level, mainly derived from satellite and statistical geospatial sources.
Through a quantitative estimation of the impacts of floods and droughts, and their associated likelihood projected until the end of the century, the generated risk profiles provided a comprehensive view of the hazards, vulnerability, exposure, risk and uncertainties, in a changing climate and in relation to each country socio-economic prospects.
During 2019 a process of revision was considered necessary to homogenize and fine tune some of the assumptions considered during the study. The revision includes:
  • Fine tuning of scenarios hazard maps interpolation parameters and pluvial flooding hazard assumptions;
  • Homogenization of layers, such as the update of the road’s classification and values on the basis of the workshop’s feedbacks;
  • Point by-hand modifications on hotspots highlighted by participants at the workshops;
  • Use of new available regional data that were not available during the first iteration for the exposure downscaling (e.g. Sentinel-2 Land use, OSM updates);
  • Use of new local data provided after the workshops (e.g. new administrative boundaries, new critical infrastructures layers);
  • Location of high potential loss facilities;
  • Validation of flood defenses assumptions, on the basis of local knowledge;
  • Gap filling of hazard maps on particular vulnerable places;
  • Better link to the Sendai Indicators.
During 2019, as part of the Programme’s extension, national governments and key stakeholder of four countries - Angola, United Republic of Tanzania and Zambia - were selected to engage in the upgrade process of national risk profiles through the integration of extensive local data and knowledge. The 2019 upgrade includes:
  • Methodological improvements of the hazard component;
  • Use of new available global datasets for the exposure downscaling (e.g. WSF, HRSL, GHSL);
  • Use of official local data collected by national consultants (e.g. educational and health facilities, transportation systems, census information);
  • Additional Sendai Indicators and related SDGs.