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Conference * Date
Vulnerability Assessment, Risk Management and Adaptive Planning
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PD. Dr.-Ing. Jörn BirkmannAcademic Programme OfficerHead of SectionBonn, [email protected]
“Assessing Vulnerability in the Context of Multiple-Stressors”
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Global Approaches
Concept for a World Risk & Vul. Index
2Source: Birkmann et al. 2010b
Formular
3Source: Birkmann et al. 2010b
Susceptibility
4Source: Birkmann et al. 2010b
Susceptibility (hazard independent)
5Source: Birkmann et al. 2010b
Coping Capacity
6Source: Birkmann et al. 2010b
Limited Coping Capacity
7Source: Birkmann et al. 2010b
Identification of Structural Problems
Country Risk Vulnerability Exposure Susceptibility Coping Capacity Adaptation
Haiti
0,209;
Rank 37
0,727;
Rank 9
0,29;
Rank 77
0,665;
Rank 15
0,910;
Rank 8
0,629;
Rank 20
0,138; 0,648; 0,22; 0,431; 0,869; 0,662;
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Pakistan
0,138;
Rank 85
0,648;
Rank 41
0,22;
Rank 143
0,431;
Rank 58
0,869;
Rank 28
0,662;
Rank 9
Total number of countries 246
max. value 1
Source: Birkmann et al. 2010b
Vulnerability and Adaptation Strategies
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Adaptation Strategies
Case Study Mekong Delta
Indicators selected
g 39,000 km2
g 18 million inhabitants
g 2/3 of the area are used foragricultural production
g National importance :
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g National importance :
• 50% of the rice production
• Over 50% of the fish production
• 60% of the fruit production
Source: Image/Sensor: MODIS Picture: Birkmann 2009
Climate Change: Sea Level Rise
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Legend:
Source: Carew-Reid, 2008 - Rapid Assessment of the Extent and Impact of Sea Level Rise in Viet Nam. ICEM
Natural Hazards: VN Mekong Delta
Vietnamese Mekong Delta- Floods (Inland)
- Salinization processes- Storms and Strom Surges (Intensity)
- Sea Level Rise
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(Interrelations Tide and Estuarine Dynamics)
Flood Disasters
Year Affected Households
Deads (Children)
Damages(only direct damage)
2000 900.000 501 (347) 270 million USD
2001 300.000 407 (321) 100 million USD
Source: Neefjes, 2002; Picture: Birkmann 2008
Consequences: SLR
g Approx. 5 million people in the Vietnamese Mekong Delta (approx. 18% of the population) would be affected by sea level rise of one meter (Carew-Reid 2008)
g Indirect: degradation of environmental services and environmental functions, e.g. soils – important implications of livelihood strategies
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g Most likely „socio-ecological tipping points“ will be reached
g Economic liberalization processes (Doi Moi) will cause most likely a further reduction of social protection regimes
Ho Chi Minh City
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ICEM Study for Ho Chi Minh City
Map: Predicted extent of flooding in extreme events under the A2 scenario for HCMC
g Temperature increase of 1-2°C until 2050
g It is expected that a SLR of 1 m would imply a loss of 40% of the city area
15Source: International Centre for Environmental Management, 2009: 26; Pictures: Bach 2008/09
g Until 2070 it is expected that approx. 70% of the urban area of Ho Chi Minh City might be affected by floods and inundations (without adaptation)
g Current planning activities consider a SLR of 30 cm
g Salinization and saltwater intrusion due to SLR
Limits of Adaptation
Impacts of extreme floods and sea level rise on lan d use in HCMC (2050 extreme events)
Land use Affected area without new dykes and flood protection
Affected area with dykes and flood protection
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Urban Areas 61% 49%
Industrial 67% 63%
Open Space 77% 76%
Source: International Centre for Environmental Management, 2009:
Protection/ Intervention Measures
Sluice Gates
Interventions
Resettlement
Dykes
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Houses on pillars
Mini Dykes
Pictures: Birkmann 2009
Salinization Floods
Adaptation at Household Level
Case Study Can Tho:
71% of all households interviewed elevated their house/floor at least once over the last 50 years
18Source: Garschagen, 2010
Who is paying the costs of adaptation?
19Source: Garschagen, 2010
Indicators selected
Case I
Adaptive and resilient system
Case II Adaptive system, lack of
resilience
Case III Lack of adaptive capacities
and resilience
New State I no resilience and no adaptation potential
State before adaptation
New State I stronger, more resilient and adapted than before, but lacks resources for
further adaptation
State before adaptation
New State I due to availability and proper use
of resources stronger, more resilient and adapted than before
State before adaptation
First order adaptation
Limited or no ability to adapt
at all
Different adaptation measures like dykes,
relocation, etc.
Different adaptation measures like dykes,
relocation etc.
1st Phase
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Source: own figure
New State II -
problems increase
New State II adjusted, problems
reduced
Second order adaptation Different adaptation
measures to adapt to the consequences of first order measures
Limited or no ability to adapt to the consequences
of first order measures
Ability to live with the changes
Inability to live with the changes introduced by first order adaptation
measures
Inability to implement any
adaption measures
Outcome
2nd Phase
Source: Birkmann, 2010c
First Conclusions
g Vulnerability mapping needs to go beyond the analysis of exposure to hazards.
g Exposure mapping might privilege structural measures (exposure reduction through physical structures)
Vulnerability assessment requires the consideration of exposure,
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g Vulnerability assessment requires the consideration of exposure, susceptibility, coping and adaptation as well as spatial and temporal dynamics
g Disasters can also function as a catalyst for change (see in detail Birkmann et al. 2009)
g Adaptation: We need to promote a paradigm shift to move from the dominant focus on the adjustment of physical structures towards the improvement of planning and governance processes (see Birkmann et al. 2010a)
Challenges: Mapping Vulnerability
Scale-Dimension- Linking data from different scales- Capturing different temporal scales- Balancing different functional scales
Normative-Dimension- Thresholds versus scenarios- Guiding visions
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Access-Dimension- Access to information
and resources- Target groups
Knowledge-Dimension- Combination of different data
and knowledge sources - Acknowledgement of the limits of information
Information forAdaptive Governance
Source: Birkmann et al. 2010a
g Birkmann, J. (2006) Measuring Vulnerability to Natural Hazards – Towards Disaster Resilient Societies, UNU-Press, New York, Tokyo
g Birkmann, J., Buckle, P; Jäger,, J.; Pelling, M.; Setiadi, N.; Garschagen, M.; Fernando, N.; Kropp, J.; (2009) Extreme Events and Disasters: A Window of Opportunity for Change? – Analysis of Changes, Formal and Informal Responses After Mega Disasters, Natural Hazards, DOI 10.1007/s11069-008-9319-2
g Birkmann, J; Garschagen, M; Kraas, F.; Quang, N. (2010a): Adaptive urban governance: new challenges for the second generation of urban adaptation strategies to climate change, Sustainability Science 5(2), p. 185-206
Bibliography
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g Birkmann, J (2010) First and Second Order Adaptation to Natural Hazards and Extreme Events in the Context of Climate Change, Natural Hazards (submitted)
g Birkmann, J.; Krause, D; Welle, T.; Suarez, D.; Wolfertz, J.; (2010b): A concept for a world risk index, Study for the Bündnis Entwicklung Hilft, Bonn
g Carew-Reid, J. (2008) Rapid Assessment of the Extent and Impact of Sea Level Rise in Viet Nam. International Centre for Environmental Management (ICEM), Hanoi, Viet Nam.
g Garschagen, M. (2010) Assessing Present and Future Vulnerabilities to Water-Related Hazards in the Mekong Delta’s Urban Areas – The Challenge to Factor-In Dynamic Trends Under Conditions of Transformation and Climate Change, presentation given at: 3rd WISDOM PhD Scientific Seminar in Bonn, 27-29 January 2010.
g International Centre for Environmental Management (ICEM) (2009) Ho Chi Minh City Adaptation to Climate Change, Volume 2.
g Neefjes, K. (2002) Lessons from the floods: Voices of the people, local authorities, and disaster management agencies from the Mekong Delta in Vietnam – Summary. Hanoi: Vietnam Red Cross and the International Federation of Red Cross and Red Crescent Societies