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World Bank-GFDRR activities on exposure
          mapping-modelling

 4th International Disaster and Risk Conference, Davos, 27 August 2012

  Dr. Daniel Kull 1, Dr. Keiko Saito 1, Robert Soden 1 and Abigail Bacca 2


           1: Global Facility for Disaster Reduction and Recovery (GFDRR),
                                 The World Bank Group
                2: East Asia and Pacific Region, The World Bank Group



                    Labs
Relevance of global exposure data modeling
         for World Bank – GFDRR


WB involved in the following activities:

• Global Earthquake Model: Global effort to map the risk from
  earthquakes worldwide. Open source model.
• CAPRA (multi hazard risk model): Open Source, originally
  developed for Central and Latin American countries by LAC DRM
  team, currently being implemented for South Asian countries.
• Global Assessment Report 2013 and 2015 (multi hazard risk
  model): Lead by UN-ISDR, WB contributing to exposure model.
  Discussions on strategy, on going for the 2015 model.



                 Labs
WB/GFDRR contribution for GAR 2015


• Strategy: Bottom-up approach?
  – Incorporation of detailed exposure data from city, national
    or sub-regional risk assessments, damage and loss
    assessments and other relevant studies
  – World Bank funded projects have generated exposure data
    in the past:
      • Take stock of what is available within WB
  – Feasibility of incorporating these datasets into a global
    mosaic
  – Use of landuse/land cover datasets to infer underlying
    exposure? Remote Sensing?


               Labs
Examples of relevant WB funded projects


• At the Local scale (cities)
   – Multi-Hazard Vulnerability Assessment in Ho Chi
     Minh City (Vietnam) & Yogyakarta (Indonesia)
      • In the framework of the EOWORLD initiative
         – a collaboration between European Space Agency and the
           World Bank which focuses on application of Earth Observation
           (EO) based information to
           planning, implementation, monitoring and assessment of the
           World Bank projects
      • Exposure data generated through project: urban area
        (mapping of infrastructure and building
        inventories), population, potential economic damage
                Labs
Ho Chi Minh City (Vietnam)




                Labs
Labs
Yogyakarta (Indonesia)




                Labs
Labs
Examples of relevant WB funded projects

• At the Local scale (cities)
   – Assessing Vulnerability in the Metropolitan Area
     of Rio de Janeio (Brazil)
      • In the framework of the EOWORLD initiative
          – a collaboration between European Space Agency and the
            World Bank which focuses on application of Earth Observation
            (EO) based information to
            planning, implementation, monitoring and assessment of the
            World Bank projects
      • Exposure data generated through project: urban land
        use (e.g., residential areas, roads, airports, ports, etc.)

                 Labs
Rio de Janeiro (Brasil)




                  Labs
Labs
Examples of exposure related WB projects


– Africa Energy Infrastructure
   • Exposure data generated through project :
     population, area, and power stations




              Labs
Example: Pacific islands Exposure Database
Project                    Generated exposure data: Complete
                                               coverage of 15 countries. Population
                                               distribution, 340,000 building footprints
                                               (incl. building use and construction
                                               classes), main infrastructure data
                                               (e.g., roads, bridges, dams, ports, and
                                               airports), utilities and major crops




                       Glassey et al. (2010)
                Labs
Other examples of exposure related WB projects
• At the Regional scale
   – Namibia flood risk mapping
     • Exposure data generated through project : Mapping
       with available economic values for housing, agricultural
       lands and transport infrastructure (roads and
       bridges), estimation of replacement costs per unit or
       lost production per unit area for different type of crops
       and livestock and calculation of damages for different
       levels of flood
  – Mozambique disaster risk management
     • Exposure data generated through project : Risk
       mapping of vulnerable assets in key sectors and
       participatory urban disaster risk management
  – Yemen, Morocco etc…
               Labs
Example of use of exposure data by EAP/GFDRR:
   OpenDRI Indonesia – Tools for Decision Makers

InaSAFE Software (QGIS plug-in): Scenario Assessment for Emergencies
•Get the best available
science and data to bear on
disaster management
decisions.
•Make it easy to generate
realistic disaster scenarios
for use in contingency
planning.
•Provide evidence based
and quantitative impact
assessments.
• Partnership with
Indonesia Disaster
Management Agency
(BNPB), AIFDR-AusAID
                               Labs
WB/GFDRR contribution for GAR 2015
• Bottom-up approach?
   – Incorporation of detailed exposure data from
     city, national or sub-regional risk
     assessments, damage and loss assessments and other
     relevant studies
   – WB-funded projects carried out and resulting relevant
     data in many regions of the world
      • Most detailed example of local-scale exposure data
        collection: Pacific Exposure Database
      • Reasonable basis for global mosaic? – ‘doubtful’
      • Governments and national entities would have to provide
        additional data to sort of ‘fill the catalogue’
   – Use of landuse/land cover datasets to infer underlying
     exposure? Remote Sensing?
                Labs
Thank you for your attention

         Questions?

   dkull@worldbank.org
  ksaito2@worldbank.org



  Labs

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World Bank/GFDRR contributions to exposure modeling for global risk modeling initiatives and OpenDRI initiative

  • 1. World Bank-GFDRR activities on exposure mapping-modelling 4th International Disaster and Risk Conference, Davos, 27 August 2012 Dr. Daniel Kull 1, Dr. Keiko Saito 1, Robert Soden 1 and Abigail Bacca 2 1: Global Facility for Disaster Reduction and Recovery (GFDRR), The World Bank Group 2: East Asia and Pacific Region, The World Bank Group Labs
  • 2. Relevance of global exposure data modeling for World Bank – GFDRR WB involved in the following activities: • Global Earthquake Model: Global effort to map the risk from earthquakes worldwide. Open source model. • CAPRA (multi hazard risk model): Open Source, originally developed for Central and Latin American countries by LAC DRM team, currently being implemented for South Asian countries. • Global Assessment Report 2013 and 2015 (multi hazard risk model): Lead by UN-ISDR, WB contributing to exposure model. Discussions on strategy, on going for the 2015 model. Labs
  • 3. WB/GFDRR contribution for GAR 2015 • Strategy: Bottom-up approach? – Incorporation of detailed exposure data from city, national or sub-regional risk assessments, damage and loss assessments and other relevant studies – World Bank funded projects have generated exposure data in the past: • Take stock of what is available within WB – Feasibility of incorporating these datasets into a global mosaic – Use of landuse/land cover datasets to infer underlying exposure? Remote Sensing? Labs
  • 4. Examples of relevant WB funded projects • At the Local scale (cities) – Multi-Hazard Vulnerability Assessment in Ho Chi Minh City (Vietnam) & Yogyakarta (Indonesia) • In the framework of the EOWORLD initiative – a collaboration between European Space Agency and the World Bank which focuses on application of Earth Observation (EO) based information to planning, implementation, monitoring and assessment of the World Bank projects • Exposure data generated through project: urban area (mapping of infrastructure and building inventories), population, potential economic damage Labs
  • 5. Ho Chi Minh City (Vietnam) Labs
  • 9. Examples of relevant WB funded projects • At the Local scale (cities) – Assessing Vulnerability in the Metropolitan Area of Rio de Janeio (Brazil) • In the framework of the EOWORLD initiative – a collaboration between European Space Agency and the World Bank which focuses on application of Earth Observation (EO) based information to planning, implementation, monitoring and assessment of the World Bank projects • Exposure data generated through project: urban land use (e.g., residential areas, roads, airports, ports, etc.) Labs
  • 10. Rio de Janeiro (Brasil) Labs
  • 11. Labs
  • 12. Examples of exposure related WB projects – Africa Energy Infrastructure • Exposure data generated through project : population, area, and power stations Labs
  • 13. Example: Pacific islands Exposure Database Project Generated exposure data: Complete coverage of 15 countries. Population distribution, 340,000 building footprints (incl. building use and construction classes), main infrastructure data (e.g., roads, bridges, dams, ports, and airports), utilities and major crops Glassey et al. (2010) Labs
  • 14. Other examples of exposure related WB projects • At the Regional scale – Namibia flood risk mapping • Exposure data generated through project : Mapping with available economic values for housing, agricultural lands and transport infrastructure (roads and bridges), estimation of replacement costs per unit or lost production per unit area for different type of crops and livestock and calculation of damages for different levels of flood – Mozambique disaster risk management • Exposure data generated through project : Risk mapping of vulnerable assets in key sectors and participatory urban disaster risk management – Yemen, Morocco etc… Labs
  • 15. Example of use of exposure data by EAP/GFDRR: OpenDRI Indonesia – Tools for Decision Makers InaSAFE Software (QGIS plug-in): Scenario Assessment for Emergencies •Get the best available science and data to bear on disaster management decisions. •Make it easy to generate realistic disaster scenarios for use in contingency planning. •Provide evidence based and quantitative impact assessments. • Partnership with Indonesia Disaster Management Agency (BNPB), AIFDR-AusAID Labs
  • 16. WB/GFDRR contribution for GAR 2015 • Bottom-up approach? – Incorporation of detailed exposure data from city, national or sub-regional risk assessments, damage and loss assessments and other relevant studies – WB-funded projects carried out and resulting relevant data in many regions of the world • Most detailed example of local-scale exposure data collection: Pacific Exposure Database • Reasonable basis for global mosaic? – ‘doubtful’ • Governments and national entities would have to provide additional data to sort of ‘fill the catalogue’ – Use of landuse/land cover datasets to infer underlying exposure? Remote Sensing? Labs
  • 17. Thank you for your attention Questions? dkull@worldbank.org ksaito2@worldbank.org Labs

Editor's Notes

  1. Visualisation of risk assessment results, based on inputs including detailed exposure data collected by local communities. Raising awareness of risks in own communities. Questions thatInaSAFE aims to answer which are useful for decision makers:Where are the areas likely to be affected?How many people will need to be evacuated and sheltered?Which schools will be closed (given a scenario)?Capacity of hospitals to take patients under certain conditions?Which roads will be closed? (given a scenario)