em-dat the international disaster database
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EM-DAT The International Disaster Database. CRED – University of Louvain, Belgium. Regina BELOW. Expert Meeting on Hazard and Disaster Data, May 19 -20 , 2010 - Copenhagen. AIM OF THE DATABASE AND GENERAL INFORMATION. - PowerPoint PPT PresentationTRANSCRIPT
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EM-DATEM-DATThe The International Disaster DatabaseInternational Disaster Database
CRED – University of Louvain, BelgiumCRED – University of Louvain, Belgium
Expert Meeting on Hazard and Disaster Data, May 19-20, 2010 - Copenhagen
Regina BELOW
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AIM OF THE DATABASEAIM OF THE DATABASEANDAND
GENERAL INFORMATIONGENERAL INFORMATION
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EM-DAT: International Disaster Database, created in 1988 and maintained by CRED
Compile information on occurrence and impacts of over 18,000 natural and technological disasters from 1900 until present
Objective: Provide evidence-base to humanitarian and development actors at national and international levels
Database maintained by Centre for Research on the Epidemiology of Disasters – CRED (Research Institute Health and Society (IRSS) - University of Louvain, Brussels, Belgium)
Project funded by OFDA/USAID, USA
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PARTNERSHIP NETWORK
UN AGENCIESWHOOCHA UN-ISDRUNDP
GOVERNMENT/MULTILATERAL AGENCIES
US GovernmentNational governmentsNOAAWorld BankEuropean UnionESA
NON-GOVERNMENTAL INSTITUTIONSIFRCADRCNational organizations PRIVATE COMPANIES
MünichReSwissRe
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CONTENT OF THE DATABASECONTENT OF THE DATABASE
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Disasters in EM-DAT are defined as:
“a situation or event which overwhelms local capacity, necessitating a request to the national or
international level for external assistance, or is recognised as such by a multilateral agency or by at
least two sources, such as national, regional or international assistance groups and the media”
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EM-DAT CRITERIAEM-DAT CRITERIA
•10 or more people reported killed
and/or•100 or more people reported affected
and/or•Call for international assistance/declaration of a state of emergency
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Information on Human and Economic Impact of:
• Natural disasters (62%)• Geological (Earthquake, volcano, dry mass movement)• Hydrological (Flood, wet mass movement)• Climatological (Extreme temperature, drought, wildfire)• Meteorological (Storm)• Biological (Epidemic, insect infestation, animal stampede)
• Technological disasters (38%)• Transport accidents• Industrial accidents• Miscellaneous accidents
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•Number of killed: “persons confirmed as dead and persons missing and presumed dead”
•Number of injured:“people suffering from physical injuries, trauma or an illness requiring medical treatment as a direct result of a disaster”
•Homeless:“people needing immediate assistance for shelter”
•Affected:“persons requiring immediate assistance during a period of emergency, including displaced or evacuated people”
•Total number of affected: Injured + Homeless + Affected
•Economic damages: value of the immediate damage at the time of the event (direct damage in US$)
MEASURING HUMAN AND MEASURING HUMAN AND ECONOMIC IMPACTSECONOMIC IMPACTS
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STANDARD TEMPLATE
•Disaster Number (Unique ID)
•Disaster Group/ Type/ Subtype
•Name
•Criteria
Disaster information
•Country/ Continent/ Region
•Location
•Latitude/ Longitude
Geographical information
•Year
•Start and End dates
•Local time
Temporal information
•Origin
•Associated Disasters
•Magnitude / Scale
Characteristics
•OFDA Response
•Request for Int. Assistance
•Declaration State of Emergency
•Aid Contribution
International appeal
•Deaths•Injured•Homeless•Affected•Total Affected=Injured+Homeless+Affected
Human impact
•Estimated Damages
(direct/ indirect; by sector)
•Insured Losses
•Reconstruction Cost
Economic impact
•Impact on Infrastructure:houses, bridges, hospitals, crops,roads …. damaged/ destroyed
•Sectors affected: Industry,Sanitation,Communication, …
Sector impact
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STANDARD TEMPLATE
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METHODOLOGYMETHODOLOGY
DISASTER EVENT
COUNTRY 1 COUNTRY 2
SOURCE 1 SOURCE 2 SOURCE 3 SOURCE 1 SOURCE 2 SOURCE 3
VALIDATION
PUBLIC
Level 2
Level 1
Level 3
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VALIDATION SHEETVALIDATION SHEET
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VALIDATIONVALIDATION
Data entered and updated daily
Monthly validation process before making data available for the public (3 months interval)
Internal error cross checking
Yearly data quality control
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COLLECTION OF DATA ANDCOLLECTION OF DATA ANDTECHNICAL QUESTIONSTECHNICAL QUESTIONS
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UNITED NATIONS•OCHA, IRIN, WHO
GOVERNMENTAL SOURCES•Official Country Figures
INSURANCE MAGAZINE•Lloyd Casualty Week
IFRC AND NGO’s
US GOVERNMENT•OFDA, NOAA, DFO, USGS
REINSURANCE COMPANIES•SwissRe, MünichRe
RESEARCH CENTRES
PRESS/MEDIA•AFP, Reuters
MAIN DATA SOURCESMAIN DATA SOURCES(Priority List)(Priority List)
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SPECIFIC DATA SOURCESSPECIFIC DATA SOURCESEARTHQUAKE•USGS
FLOODS•DFO
ECONOMIC LOSSES•ECLAC, Reinsurance Comp.
EPIDEMIC•WHO
INDUSTRIAL ACCIDENTS•UN/APELL
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CONSISTENCY/UPDATE OF DATACONSISTENCY/UPDATE OF DATA
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METHODOLOGYMETHODOLOGY
•Data must be comparable over time and space
•Standard methodology for entering data
• Clear stated methodology, based on 20 years experience and posted on the website
• Figures confirmed by at least 2 sources
• Use of priority sources
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STRENGHTS OF EM-DATSTRENGHTS OF EM-DAT
- Unique free accessible database
- Acts as a reference point for global analysis of disaster occurrence and impact
- Unique basis for policy papers on disaster reduction and risks
- International recognition and credibility
- Capacity to provide methods and guidelines (20 years experience)
-Transparent conventions regarding data sources and internal protocol
-Standard data templates
-Global and coherent data
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LIMITATIONS OF EM-DATLIMITATIONS OF EM-DAT
-Global database
-Limited potential for analysis in terms of disaster occurrence and impact on smaller, intra-country spatial scales
-Public aspect of EM-DAT may lead to inappropriate use of data
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EMDAT : CREDibilityEMDAT : CREDibility
•Long experience in data collection & management•Normative rules, clear definition•Clearly-stated methodology•Validation methods and tools•Transparency•Automatization (data entry and outputs)•Comparability of its data across time and space
UNIQUE PUBLIC GLOBAL REFERENCE DATABASE
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ACCESS TO DATAACCESS TO DATA
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CRED OUTPUTSCRED OUTPUTS
30 Years Natural Disasters (1973-2003)
Statistical Annex of the WDR (IFRC)
Press Release (ISDR)
Annual Statistical Review
CRED Crunch
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EXTERNAL OUTPUTSEXTERNAL OUTPUTS
ISDR
Living with Risk UNDP
Reducing Disaster Risk
World Bank
Natural Disasters Hotspots
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EM-DAT ONLINEEM-DAT ONLINEwww.emdat.bewww.emdat.be
Different search options:
(1) Country profiles* (2) Natural & technological disaster profiles* (3) Disaster list*(4) Advanced search*(5) Maps(6) Trend figures
* Dynamic
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EM-DAT USERS• Ministries and specialized agencies (white & policy
papers, budget justifications, planning, priorities)• Red Cross and NGOs• Consultant firms (environmental, land use)• Insurance firms• High school teachers, Undergraduate University
projects• Research (environment, geography, urbanization,
tourism)
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WEB-SITE USAGE WEB-SITE USAGE (2008/2009)(2008/2009)
2008 2009 Increase%
52,542 visits 70,651 visits + 34.47%
32,730 unique visitors(89.6/day)
43,522 unique visitors(119.2/day)
+ 32.97%
82,033 pageviews 210,230 pageviews +145.30%
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DATA IN EUROPEDATA IN EUROPE
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DATA GAPS FOR EUROPE
•Systematic reporting of disaster impact is weak (depend on centralization)
•Realistic and appropriate methods to measure human impact in European context should be developed
•Common data standards for reporting need to be established across European Union countries (and intra – country)
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CONCLUSIONS
•Building on existing efforts better then starting from scratch
•The « Kiss principle » : Keep it Short and Simple
•Problems of disaster data collection in the Europe will be the same as problems of data collection in the world
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THANK YOU …THANK YOU … CONTACTCONTACT
CREDCRED30, Clos Chapelle-aux-Champs30, Clos Chapelle-aux-Champs1200 Brussels – Belgium1200 Brussels – BelgiumTel: +32-2-764-3327/Fax-3441Tel: +32-2-764-3327/Fax-3441E-Mail: [email protected]: [email protected]: www.cred.beWebsite: www.cred.be
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QUESTIONSQUESTIONS
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•"Common protocol" for georeferencing global disaster databases (interoperability)
•More precise information on disaster locations (additional data sources and/or linking to other (global) datasets
•Production of Spatial analysis & disaster footprints
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CONTEXT AND NEEDSCONTEXT AND NEEDS
•Lack of accessible information remain major barrier for better disaster prevention, mitigation, preparedness and reduction
•Need of comprehensive understanding of complete human, economic and social impact of disasters
•Decision-makers need to be informed on where to invest and how to design sustainable project
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ISSUES HIGHLIGHTED
1. Disaster definitions: Differences & lack of standardized terminology (low comparability)
2. Disaster typology: Disaster (sub)type classification, primary/secondary event
3. Geo-referencing: Data resolution
4. Temporal aspects: Difficulties in reporting start and end dates
5. Methodology: Lack of publicly available methodology => transparency & comparability, ambiguity of variables (definitions, sources, criteria)
6. Sourcing: Lack/Overabundance of data sources