UNDP Disaster Loss and Damage Databases · 2015. 1. 30. · 1 National disasterloss and damage...
Transcript of UNDP Disaster Loss and Damage Databases · 2015. 1. 30. · 1 National disasterloss and damage...
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National disaster loss and damage databases structure for disaster statistics
Presented by
Rajesh Sharma
Crisis Crisis Prevention and Recovery Prevention and Recovery
AsiaPacific Regional Centre
Bangkok
2 December 2013 1
Presentation Outline
Di l d d d b• Disaster loss and damage databases
• Disaster loss and damage database structure
• Disaster databases in Asia
• Guiding principles for disaster loss databases
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Why disaster loss and damage databases?
• Losses and damages from disasters are not systemically recordedsystemically recorded
• Poor understanding of emerging patterns and trends of disaster risks resulting in lack of targeted action
• Climate change and variability posing threats to development
• Intensities and frequencies of disasters changing
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Disaster loss and damage database?
• Collection of data about occurrence and impacts of disasters
• Data capture over a period of time and geographical unit
• Storage, retrieval and compilation of data and information
• Sharing of data and information to all gstakeholders in real time
• Analysis of data over a period of time and space to understand patterns and trends of risks
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Types of data captured by the databases
• Data captured at high resolution – subdistrict level
• Information about occurrences and impacts are captured over a long period of time (20‐30 years)
• Direct impacts are captured (event, population, sectors)
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Types of data captured by the databases (2)
• Direct impacts of an event• Event details (date, location, intensity)Event details (date, location, intensity)• Population affected (death, injured, affected, …)• Damages and losses to sectors (houses, road, health, etc.)
• Analysis undertaken at provincial, district and sub‐district levels to derive emerging trends andsub‐district levels to derive emerging trends and patterns of events and impacts to feed into national and sub‐national planning
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Types of data captured by the databases (3)
• Pre‐configured list of disaster events, definitions of events and impactsp
• About 250 additional configurable data fields available for adding more indicators
• Pre‐defined set of analysis to create various• Pre defined set of analysis to create various maps, charts, tables, reports, statistical for different administrative levels (districts, …)
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Disaster Loss Database for Cambodia (example)
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Disaster Loss Database for Cambodia (example)
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Disaster Loss Database for Cambodia (example)
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Disaster databases in Asia
• In Asia, UNDP started supporting pilot implementation in 2002 in the Orissa state of India
S i L k‐ Sri Lanka‐ Nepal‐ Iran‐ Indonesia (more than 10 provinces)‐ India (Orissa, Tamil Nadu and other States)‐ Lao PDR‐ Timor‐LesteCambodia‐ Cambodia
• Several ongoing databases ‐ Vietnam, Myanmar, Philippines, Pakistan and Bhutan
• Database highly configurable to country specific needs
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IranNepal
Bhutan
Status of the implementation of Disaster Status of the implementation of Disaster Inventories in Asia (Inventories in Asia (20132013))
Institutionalized Under development
Pakistan
ThailandThailand
Laos
CambodiaCambodia
Sri LankaSri Lanka
MaldivesMaldivesIndonesiaIndonesia
PhilippinesPhilippines
BruneiBrunei
MyanmarMyanmar
VietnamVietnam
Orissa
Andhra PradeshAndhra Pradesh
KeralaKerala
Tamil NaduTamil Nadu PuducheryPuduchery
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MaldivesMaldives
TimorTimor--LesteLeste
202,000 records First event in 18151815AD 15 15 countries
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Experiences of establishing disaster loss databases from Asia
Risk Knowledge Fundamentals:
Guidelines and Lessons Guidelines and Lessons for Establishing and for Establishing and Institutionalizing Institutionalizing Disaster Loss Databases Disaster Loss Databases
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Available online at: http://www.snap‐undp.org/elibrary/Publications/DLDGuidelines.pdf
A comparative review of
Countrylevel and regional disaster loss and damage databases
Analysis Analysis of databases byof databases by
• Database characteristics• Database content profile• Quality assurance• Accessibility• Database uses
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Applications
‐ GAR 2009, 2011 and 2013
E t i i t i i k l i‐ Extensive intensive risk analysis
‐ Disaster risk and poverty analysis
‐ Poverty monitoring
‐ Allocation of funds based of levels of risks
‐ Local disaster management plans
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Guiding principles for disaster loss databases
• Developing national capacities
Establishing and sustaining nationally led• Establishing and sustaining nationally led processes to create ownership and relevance
• Establishment of database is guided by institutional and legal context
• The database should address the needs andThe database should address the needs and priorities of the country
• Sharing of database and analysis with all stakeholders
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