RMSI DisasterManagement

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Slide1: 

Disaster Management Framework for Preparedness Delivering a world of solutions Inderjit Claire Vice President RMSI October, 2007

Need for Mainstreaming Pre-hazard Risks Management: 

Need for Mainstreaming Pre-hazard Risks Management Frequency and magnitude of losses from natural disasters have been constantly increasing Losses from recent natural disasters have been a great deal higher than those that occurred earlier in time This trend is expected to continue because of an increasing higher concentration of population and property in areas susceptible to natural hazards Losses from major natural disasters world-wide from 1950-2006 (in 2006 $ values) (Courtesy: NatCatSERVICE, Geo Risks Research, Munich Re)

Hazards: 

Hazards Earthquakes Tsunami Landslides Cyclones Floods Fire

Hazard Risk Management Framework: 

Hazard Risk Management Framework Catastrophe Risk Financing Ex-Ante Funding Arrangements Catastrophe Insurance Pools Reserve Funds Contingent Capital Facility Risk Mitigation Investments Warning and Monitoring Systems Hazard Mapping and Land Use Planning Code Refinement and Enforcement Hazard Specific Risk Mitigation Emergency Preparedness Emergency Response Planning Exercises Public Awareness Communication and Information Management Systems (IMS) Technical Emergency Response Capacity Institutional Capacity Building Community Participation Legislative Framework Training, Education and knowledge Sharing Decentralized Emergency Management System International Cooperation

Scenario Based Vulnerability Mapping – Earthquake Example: 

Scenario Based Vulnerability Mapping – Earthquake Example Starts with scenarios, then defines the hazard, then estimates the vulnerability, calculates what is the exposure and finally estimates probable total damage

Disaster Risk Modeling Process: 

Disaster Risk Modeling Process Stochastic Module generates random events from the characteristics of historical events that have occurred in the region. Hazard Module analyses the hazard coefficients for each geographic region based on various identified perils applicable in the region. Calculating the hazard coefficients for stochastic events generated.

Disaster Risk Modeling Process: 

Disaster Risk Modeling Process Vulnerability Module focuses on assessment of physical vulnerability of buildings and infrastructure to ground shaking and collateral hazards and social vulnerability of affected population. Exposure Module involves the tasks of classification and quantification of the exposures at locality, sector, county, community and city levels. Calculating the vulnerability and exposure of the area against disasters.

Disaster Risk Modeling Process: 

Disaster Risk Modeling Process Damage/Loss Module: Finally, the damage ratio from the vulnerability module is multiplied by the value of the exposed risk at a location to calculate an estimated monetary loss. Calculating the loss from disasters

Vulnerability: 

Vulnerability Vulnerability parameters

Vulnerability has a Spatial Component: 

Vulnerability has a Spatial Component Which places are more vulnerable to a hazard? Which geographical region, socio-economic class etc. Who are the vulnerable people? Relative vulnerability among households and individuals What should be done? Link to intervention/ adaptation

Social Vulnerability: 

Social Vulnerability Coping Ability Resistance Resilience Social Environment Age Gender Ethnicity Household type Economic Environment Income and Assets Insurance Debts Overlay environmental hazard maps with vulnerability maps to determine areas vulnerable to hazards Add values, weights, factors for each variable in each layer to represent “Total Vulnerability”

Vulnerability Module – Statistical Data Requirements: 

Vulnerability Module – Statistical Data Requirements Physical Vulnerability Social Vulnerability Social vulnerability is the susceptibility of populations to death and injuries - the assessment of which involves casualty modeling to compute mortality and injury rates associated with various catastrophic events Population Data reflecting the age, gender, ethnicity and household type Physical vulnerability refers to the degree to which an asset would get damaged or destroyed in a hazardous environment caused by catastrophic events Physical vulnerability can be for residential and commercial buildings, critical facilities, infrastructure and agriculture

Exposure Module: Use of Statistical Data: 

Exposure Module: Use of Statistical Data Exposure Module calculates how much of the population and buildings are ‘exposed’ to the natural hazard Building Use – Residential, Commercial, Industrial Type of Buildings Type of Construction – Steel, Concrete, Masonry Category/Building class Building Height, No. of floors Building age Built up floor area of the buildings Occupancy Details – Population density

Case Study – India Earthquake Model: 

Case Study – India Earthquake Model

Case Study – Romania Earthquake Model: 

Case Study – Romania Earthquake Model

Case Study: Developing a Disaster Risk Profile for Maldives : 

Case Study: Developing a Disaster Risk Profile for Maldives Business need Maldives was among the most severely affected countries hit by the Asian Tsunami on December 26, 2004 UNDP initiated a study to analyze Maldives’ high level of vulnerability and to avoid the present scale of losses and damage in the future Recovery and development planning to be based on Disaster Risk Management (DRM) strategy

Case Study: Developing a Disaster Risk Profile for Maldives : 

Solution Countrywide study: 200 inhabited islands out of a total of 1190 islands - completed in a challenging timeframe of 6 months Hazards: Tsunami, Earthquake, Storms, Floods, and Climate Change Vulnerability: Physical and Social Exposures: Buildings, infrastructure and agriculture GIS base map developed GIS and CAT risk modeling integration Hazard and risk maps developed Assessments represented on a 5 point ordinal scale Case Study: Developing a Disaster Risk Profile for Maldives

Case Study: Developing a Disaster Risk Profile for Maldives : 

Benefits Comprehensive report and base maps generated Government of Maldives used the report as a key input for planning developmental strategies to mitigate future disasters First GIS base map of Maldives developed Case Study: Developing a Disaster Risk Profile for Maldives 3-D view of bathymetry of Maldives (depth in meters)

Data Sources: 

Data Sources Public records data county, city departments Census Data Other sources Satellite imagery, aerial photos Administrative boundary maps Land use/ Land cover maps

Analysis: Land Use wise Distribution of Population: 

Analysis: Land Use wise Distribution of Population

Introduction – About RMSI: 

Introduction – About RMSI Having 900 multi-disciplinary technical staff Part of RMS group in the US Over 75% of our business is repeat business Platform Independent Company Ranked 5th in the Great Places to Work study 2005 in India Ranked amongst Indian IT’s Top 20 Best Employers Quality certifications - ISO 9001 certified, ISO 27001, SEI CMMi Level 5 assessed Operations covering Asia, North America, UK and the Middle East

Slide22: 

RMSI CLIENTS

Slide23: 

info@rmsi.com www.rmsi.com Delivering a world of solutions