Africa

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.
2019
UPDATE

Angola

Botswana

Cameroon

Côte d'Ivoire

Equatorial Guinea

Gabon

Gambia

Ghana

Guinea Bissau

Kenya

Kingdom of Eswatini

Namibia
2019
UPDATE

Rwanda

São Tomé and Príncipe
2019
UPDATE

United Republic of Tanzania
2019
UPDATE

Zambia