Second UN-SPIDER Workshop 13-15 October 2008
Session II:
\"Advancing Knowledge for Human Security and Development“
Vulnerability and Risk
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Institute for Environment and
Assessment
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Human Security
- Introduction -
(UNU-EHS)
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Dr.-Ing. Jörn Birkmann & Dr. Juan Carlos Villagran de Leon
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Goals of the Session II
 How to use remote sensing data for vulnerability
and risk assessment?
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 How to combine remote sensing data and
statistical data regarding vulnerability and risk?
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 How to use remote sensing data for vulnerability
and risk assessment at different scales?
 Who can benefit and use the data?
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Institute for Environment & Human Security The STERN Report
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Risk f = hazard and vulnerability
life-lines buildings
technical
critical infrastructure
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Hazard Risk Vulnerability
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socio-economic
environmental
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Dimensions of Vulnerability
Social Dimension
Vulnerability of different social groups,
Role of social networks (coping)
Economic Dimension
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Vulnerability of different economic sectors, such
as fishery and hotel business in Sri Lanka
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Environmental Dimension
Environmental fragility (groundwater, land)
Dependency on environmental services
Institutional Dimension
Effectiveness and failure of structures and
institutions
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BBC-framework Institute for Environment & Human Security
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Source: Bogardi/Birkmann (2004) and Cardona (1999/2001)
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Vulnerability and Risk Assessment
Hazard
Update data
vulnerability components
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Determine,
quantify
and combine
indicators stage of short time
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and early warning before
components disaster
stage of pre- and
risk managment postdisaster
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Key Cooperation Partners Indonesia
LIPI UNU-EHS
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BPS +
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local authorities from pilot areas
(U Andalas, UGM Yogjakarta, BAPPEDA
Padang, Cilacap, Badung – Bali, GTZ)
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BBC framework Thematic areas for indicator
categories development
Hazard Degree of hazard impact
Population in the exposed zone
Exposed People day and night
Exposure
Exposed critical infrastructures
V
Receiving the warning Proportion of population without
U access to mobile phones
Susceptibility
L
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Proportion of population 5+
N Understanding the warning without primary school education
E
R Decision to evacuate
Proportion of population 5+
without high school education
A
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B Demographic susceptibility
Coping Capacity Capability to evacuate index
I
L
Health maintenance
I
& rehabilitation capability
T
Y
Livelihood rehabilitation
Rehabilitation
Intervention Tools /
Adaptation
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Example: Sub-National VA Indonesia

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Example Sub-national VA Indonesia

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Local Assessment – Padang (LAST-MILE)
Inundation modelling
Socio-economic
vulnerability assessment
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Geodatabase, physical vulnerability
Class A
Class B
Class C
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Evacuation analysis
Evacuation Strategies and Plans
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SUB-GROUPS

3 Sub-Groups
 A) Vulnerability / Dr. Jörn Birkmann
 B) Hazard and Risk / Dr. Peter Zeil
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 C) Information for disaster preparedness and
response / Dr. Juan C. Villagran
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Goals of the Sub-Groups
 Improved understanding on how remote sensing data is
used in vulnerability and risk assessment
 Systematization of lessons learnt: what has worked,
what not?
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 Development of ideas on the web-based platfrom – what
to share…
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Question for each Sub-Group
 How is the vulnerability and risk assessment structured?
 Which elements at risk can be assessed with remote
sensing (RS) information?
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 Hot to assess exposure, fragility and response capacities
with RS and statistical data
 How to integrate remote sensing information and census
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data within one assessment?
 How should the information platform incorporate
information regarding vulnerability and risk?
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The End
Thank you
for your attention!
Institute for Environment & Human Security
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birkmann@ehs.unu.edu
villagran@ehs.unu.edu
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