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What is EM-DAT?

Expert Meeting on Hazard / Disaster Data EU Flood Information EEA/CRED, Brussels, 19 May 2011 Debarati Guha-Sapir Director , CRED. What is EM-DAT?.

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What is EM-DAT?

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  1. Expert Meeting on Hazard/Disaster DataEU Flood InformationEEA/CRED, Brussels, 19 May 2011Debarati Guha-SapirDirector, CRED

  2. Whatis EM-DAT? International Disaster Database, created in 1988Project funded by OFDA/USAID, USAOccurrence , human and economic impacts of over 18,000 natural (62%) and technological disasters (38%) from 1900 to presentObjective: Provide evidence-base to humanitarian and development actors at national and international levels www.emdat.be

  3. EM-DAT Entry Criteria 10 or more people killedand/or100 or more people affectedand/orCall for international assistance/ declaration of a state of emergency

  4. EM-DAT Methodology Data is comparable over time and space Normative rules, clear definition and standardmethodology for entering dataTransparent methodology, based on 20 yearsexperience and posted on the websiteFigures confirmed by at least 2 sourcesAutomatization (data entry and outputs)

  5. Strengths of EM-DAT Unique database with online search engine Global reference for analysis of disaster occurrence and impactUnique basis for policy on disaster reduction and risksInternational recognition and CREDibilityCapacity to provide methods and guidelines (20 years experience)

  6. Limitations of EM-DAT Global database with limited sub-national dataPublic aspect of EM-DAT leads to inappropriate use of dataWeak reporting of admin. districtsLack of common institutional governance

  7. Floods in EU 2000-2009 Floods in EU 2010 Source: EMDAT

  8. Floods, Europe, 2000-2010 – MissingInformation * No deaths

  9. Health Impacts of Floods in Europe Background: MICRODIS ProjectGoals and Objectives: Strengthen the quality, accuracy and completeness of disaster impact data in Europe; Analyze the impact of recent disasters using both statistical and spatial dataActivities: (i) Based on EM-DAT, analysis and simple mapping of natural disasters and their impact in the EU-27(ii) Creation of geo-coded maps using specialized data standard systems (GAUL) and tools such as ARCGIS(iii) Development of recommendations for statistical, spatial and geo-referenced data required for measuring future natural disaster impacts in Europe

  10. Conclusions - Floodsmostcommondisasters in EU countries- Significant impact on health and mental status of the community- Human impact indicatorsmonitoredat national level; not consistent at a higherlevel of resolution- Providing flood occurrence and impact atsub-national levelscan serve policy-makers and international community- Gaps in data, poor data access

  11. Estimation of HumanExposure to Flood Events using DFO database Climate, Environmental Health Action Plan and Information System (CEHAPIS)WHO/EURO Project 2008-2010 co-funded by EC DG SancoOBJECTIVE:Development of tools to monitor and assess environmental health related to climate change through the application of the EH information system methods in particular indicators

  12. Current Estimation of HumanExposure to Flood Events

  13. Limitations Not all years recorded and some not reliableDatabase needs cross validation checked (errors detected)Estimates based on approximate flooded areas (overestimation)

  14. What if we use satellite footprintsinstead?

  15. What if we use satellite footprintsinstead?

  16. Table 1 Comparison of footprint-based and watershed-based approaches to estimate people potentially exposed to floods and mortality rates Four databases were used to produce these estimates (DFO, GPWv3, EM-DAT, HYDRO1k) a Information retrieved in DFO database b Additional information obtained from EM-DAT database. See http:\\www.emdat.be for definition. PPE indicates people potentially exposed to each flood using one of the following methods, SF satellite footprints, WS watersheds; MR mortality rate, is the proportion of PPE that died due to flooding, expressed per 10,000 inhabitants

  17. Limitations Few footprints freely accessible (only 5 in DFO used in this study)No full coverage (eg. some do footprints SERTIT )GLIDE number not widely used (matching has to be done manually)Flash floods difficult to capture (rapid onset)Footprint variability depending on when the satellite is activated after the flood event

  18. Challenges Many initiatives starting to collect these footprints, UNOSTAT, ITHACA, SERTIT but.. Systematic collection, coordination efforts and a centralized repository should be achievedImprove the definition and quality of other operational variables collected by EM-DAT such as injuries, homeless or displaced populationsGeneralization( or not?) of the use of the GLIDE numberSatellite-based automatic fast production of flooded areas (JRC) – improve resolution

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