Risk Assessment in Mozambique

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Risk Assessment in Mozambique

• Carlos Villacis
• GRIP Coordinator

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Contents

• Background
• Risk assessment at National Level
• Risk Assessment at Urban Level
• Governance
• Assistance from GRIP

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Background

• JOINT POSC-DRT mission (August 2007). GRIP and
  GMI
• To support to the development of the One-UN Joint
  programme STRENGTHENING DISASTER RISK REDUCTION
  AND EMERGENCY PREPAREDNESS
• JP OUTCOME 1 Mainstreaming of disaster risk and
  vulnerability reduction in national development
  plans and programmes, including development of
  policy and norms.
• JP OUTCOME 2 Government and Civil Society
  capacities for disaster risk reduction
  strengthened at central, provincial and local
  levels.
• JP OUTCOME 3 National Information System
  including Early Warning System, inter-sectoral
  information sharing and knowledge management set
  up for disaster risk reduction.

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Background (cont)

• New BCPR project in Mozambique Strengthening
  Local Risk Management and Mainstreaming Disaster
  Risk Reduction
• The three same outputs than the JP
• Total budget 1.850.000 for two years

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Risk Assessment Package

• National Level
• National Risk Assessment
• National Disaster Loss Data Observatory
• Revision, guidelines for DRR Master Plan
• Enhanced EWS
• Local Level (Maputo)
• Risk assessment
• Contingency plan
• DRR Action Plan
• Pre-Disaster Shelter Plan

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GRIP-Mozambique Launching
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National Risk Assessment

• Users/beneficiaries
• National Government
• National agencies
• International Organizations
• Applications
• National Planning ? Development programs
• Resource allocations
• National strategies for DRR

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Scope Multi-hazard

• Geological hazards
• Earthquakes
• Landslides (secondary)
• Scale150,000, Special cases 15,000 to 10,000.
• Hidro-meteorological hazards
• Floods - Scale 1150,000
• Droughts Scale 150,000
• Tropical Cyclones - Scale 1100,000

Results will be presented at the District Level
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Plan of Activities
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National Loss Data Observatory
Example of the contents of a Disaster loss
database typical in a National Observatory. This
example using DesInventar
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Disasters
Disasters
Disasters
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Mozambique National Loss Data Observatory

• Implementation Phases of an Observatory
• Training workshop (5 days)
• Historical Research phase (30 years data)
• Production of Preliminary Analysis
• Start of day by day collection
• Continuous improvement and quality control
• Mainstreaming Analysis into national DRR

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Most Disaster Prone Districts
Spatial analysis

• The districts of Kalutara, Ratnapura, Puttalam,
  Kurunegala, and Anuradhapura have been the
  districts most prone to disasters

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Risk Assessment for Maputo
Training
Risk Assessment
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Building classification
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Preliminary results
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Incorporation in Development plans
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Long-term view

• Capacity building is priority
• INGC district units
• Risk Assessment of main cities
• 10 15 main urban areas (2 years)
• National Urban Risk Report
• National Policy
• Local action plans

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Governance
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Assistance provided by GRIP

• Assistance Provided by GRIP
• Methodologies and tools
• Training
• Technical advice technical, policy making
• Coordination and overview
• Interaction w/other countries
• Seed money

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www.gripweb.org
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Thank you!!