1 / 34

Pacific Risk Exposure Databases and Models

World Bank: Catastrophe Risk Financing Initiative – Phase II ADB: Regional Partnerships for Climate Change Adaptation and Disaster Preparedness. Pacific Risk Exposure Databases and Models.

becka
Download Presentation

Pacific Risk Exposure Databases and Models

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. World Bank: Catastrophe Risk Financing Initiative – Phase II ADB: Regional Partnerships for Climate Change Adaptation and Disaster Preparedness Pacific Risk Exposure Databases and Models Phil Glassey, Paolo Bazzurro, Michael Bonte-Grapentin, Chris Chiesa, Olivier Mahul, EdyBrotoisworo, Phil Bright, David Heron, LiteaBiukoto, Todd Bosse,Steven Clegg, BishwaPandey, Joy Papao, Scott Pontifex, Susan Vocea

  2. Pacific Disaster Risk Assessment • Regional Disaster Impact Database • National and Regional Risk Exposure Databases • Earthquake and Cyclone Hazard Models • Country-specific Catastrophe Risk Models Hazard Assets Exposure Affected Assets Loss $$

  3. Pacific Disaster Risk Assessment • Why? • Data allows risk modelling/profiling • investigate risk financing options (such as Pacific Disaster Reserve Fund) • Guide investment in DRR and CCA • Reduce risk by • avoiding hazardous areas - planning • avoiding vulnerable designs – building permitting and monitoring • Reduce losses by • being prepared • responding quickly and appropriately

  4. Project Coverage • Cook Islands • Fiji • Papua New Guinea (PNG) • Samoa • Solomon Islands • Tonga • Tuvalu • Vanuatu • Fifteen countries considered • Exposure: residential, commercial, industrial, public assets, main infrastructure, major crops, population • Perils: Earthquakes (shaking + tsunami) and Tropical Cyclones (wind, surge, and rain) • Niue • Nauru • Federated States of Micronesia • Marshall Islands • Palau • Kiribati • Timor Leste

  5. Historical Earthquakes 1900-2009 M8.1 4/1/2007 Solomon Islands 54 fatalities 7,000 homeless $3.0MM in aid Federated States of Micronesia Republic of Marshall Islands Palau Kiribati Nauru M8.1 9/29/2009 Samoa and Tonga 192 fatalities 3,000 homeless $3.5MM in aid Tuvalu Solomon Islands Timor Leste Samoa Vanuatu Niue Cook Islands Tonga

  6. Historical Tropical Cyclones 1948-2009 Federated States of Micronesia Republic of Marshall Islands Palau Kiribati Equator Nauru Papua New Guinea Tuvalu Solomon Islands Timor Leste Samoa Fiji Vanuatu Niue Cook Islands Tonga

  7. Number Of Events Major Sources Note: More than 20 sources looked at; some events have data from multiple sources

  8. Reported Data

  9. Building footprint capture • Building footprints captured from VHR satellite imagery • Field checked when doing building field surveys

  10. Summary Building Footprints ~ 340,000 buildings

  11. Attributes based on local knowledge

  12. Summary Asset Survey Largest and most comprehensive dataset for Disaster Risk Management and Climate Change Adaptation ever collected within the Pacific Islands

  13. In-country Surveys The survey involves: • Data preparation and develop mapping projects in advance • Initial consultation with stakeholders • Training of counterpart staff • Field campaigns to collect building and infrastructure data, as well as field check the digitising of building footprints • Determining other available data, negotiating data access and obtaining data. • Determining status of existing Mapserver infrastructure and systems. • A debrief meeting with stakeholders to present the results of the surveys and discuss data use, maintenance and sharing.

  14. Training and Reference Material

  15. Field Data Collection • Collect new information • Utilise pre-prepared menus, hand held devices, satellite imagery and other digital maps and local counterparts

  16. Buildings • Location represented as footprint and point • Attributes captured to characterize building in terms of use and construction • Used to estimate “Fragility” of buildings when exposed to • earthquake shaking • tsunami • cyclonic wind • other hazards

  17. Transportation • Roads and bridges • Airports, Wharves

  18. Utilities • Electricity • Water • Communications

  19. Other data • Topography/Bathymetry • Contours and hydrology • Key for storm surge, tsunami, and cyclonic winds • Geology and soils • Key for earthquake shaking • Census Data • Attributes can be extrapolated using similar building type collected by field work • Used to estimate casualties, human displacement etc

  20. Cook Is – GIS Data, Rarotonga

  21. FSM – Yap State Major changes to building stock due to Typhoon Suudal

  22. Solomon Is. – GIS Data, Honiara

  23. Apia

  24. Vanuatu – GIS Data, Port Vila

  25. Madang

  26. Coastal Hazard Areas

  27. What else can this data be used for? Damage assessments • Data can be used to assign and calculate damage to buildings already located and characterised in terms of construction • Handheld computers with “damage” menu pages can provide quick and consistent damage reports

  28. Map Viewer

  29. QA/QCReport ToolWeb enabledCan be used as a building report

  30. Data Collection Issues • Natural hazards: • Cyclone Pat, Aitutaki Cook Islands, • Cyclone Ulia Solomon Islands, • 3 erupting volcanoes in Vanuatu, • Other hazards • Ill health/disease • Dogs – 5 dog bites in all, 3 in Samoa • Inconsistent assistance from local counterparts • Reluctance of Gov’t departments to give access to data • Poor georeferenced imagery/lack of control points • Vehicle difficulties – poor roads • Communication problems • Suspicious people

  31. Challenges - Sustainability • Capacity development within countries to sustain and apply products (‘notanother data collection exercise’) • Data sharing amongst agencies • Development of tools and products to meet country needs • Bridge the gap from Science to Policy – products need to assist development planners and DRM/CCA policy makers

More Related