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Centre for Geoinformatics | Salzburg University | www.zgis.atStefan Kienberger | Researcher | [email protected]
Community based vulnerability assessment
The case of flood risk reduction in Central Mozambique
Stefan Kienberger
Second UN-SPIDER WorkshopOctober 13 – 15, 2008
Bonn, Germany
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Mozambique - Hazards
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Flood 2000: Impressions
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Disaster Risk Reduction in Mozambique
Strong support through INGC (=national authority responsible for disaster risk reduction, response & relief)
Decentralisation efforts disaster risk reduction measures done at the district/community level
Specific role of traditional communities
National/international policies and ‚experiences‘ ask for community integration, support & participation
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
SIDPABB - Community based early warning system Búzi
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Case study area: Búzi
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability mapping at the community level
Get an understanding of vulnerabilities to floods/droughts in communities
Facilitate and enhance the process of vulnerability reduction at the community level Integration of PRA practices
Provide maps for enhanced decision making
Identify indicators for the specific area of interest to allow further investigation about the spatial characteristic of vulnerability
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Spatial scale of vulnerability
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Workflow
Vulnerability Prioritisation
Community Mapping
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
PRA Community Mapping
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Field Work Mapping exercise
Working with Quickbird satellite imagery (resolution ~0,6m)
Identify/Mark important features and get an understanding of the community Risk zones (as perceived by the community) Populated areas (settlements) Agricultural zones Critical infrastructure Boundaries …
Additional collection of locations with GPS device (photographs)
2 copies one remained, one with me
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability prioritisation
Get an understanding of the driving forces from a perspective of the communities (3 communities)
Quantification of factors (Scoring, ‚Delphi exercise‘,…) With beans, … Within hazard itself (drought and flood) (40) Comparing hazards (10)
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability scoring
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability scoring
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability scoring
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability scoring
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Results
Vulnerability Map
Satellite Map & District Map
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
‚Vulnerability‘ map
Map elements:
- Main map: Community map- Land Use/Land Cover- Community Infrastructure (water wells, markets, disaster response kit,…) - Settlement area- Risk Zones (community identified)
- Small map: Surrounding area- Satellite Map- Infrastructure - Flood extend year 2000
- Additional information- Legend- Results of vulnerability identification- Analysis on exposure
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
‚Vulnerability‘ map
Small map: Surrounding area
- Community location- Accomodation centres (yr 2000)
- Flood extend yr 2000- Health facilities- Markets- Streets- Major villages
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Satellite map
Georeferenced photos of characteristic community features
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Outlook: District Level
-Identification of vulnerability indicators- integration of RS and census data
- Weighting of indicators according to ‚expert knowledge‘
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Conclusions & Challenges
Targeting the planning, decision making process, within the communities through the integration of maps as planning instruments
Identification of gaps between the perceptions of experts, stakeholders and (affected) community members
Awareness about geospatial products at all levels needed
Integration of ‘participatory’ maps within NSDI an open issue
‘Disaster Risk Reduction’ data access as within response phase?
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Thank YOU very much!
Contact:
www.uni-salzburg.at/zgis/kienberger
http://projects.stefankienberger.at/vulmoz/
Acknowledgments:
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Major findings Vulnerability prioritisation
Significant difference between prioritisation of flood vs drought small distance
Floods (highly ranked)Destruction of dams (Avg. 8; Std Dev. 2,8)Lack of dam management (Avg. 6; Std Dev. 2,2)Living in flood zones (Avg. 6; Std Dev. 2,2)
General factors (highly ranked)Transport (Avg. 4,5; Std Dev. 2,5)Lack of health services (Avg. 3,3; Std Dev. 2,5)Lack of education (Avg. 4,5; Std Dev. 1,8)
Droughts (highly ranked)Lack of irrigation system (Avg. 9,6; Std Dev. 0,5)Uncontrolled fire (Avg. 3; Std Dev. 0,8)Lack of rainfall (Avg. 3; Std Dev. 1,4)
Centre for Geoinformatics – Salzburg University www.zgis.at – [email protected]
Vulnerability assessment
Vulnerability is the intrinsic and dynamic feature of an element at risk (community, region, state, infrastructure, environment etc.) that determines the expected damage/harm resulting from a given
hazardous event and is often even affected by the harmful event itself. V. changes continuously over time and is driven by physical, social,
economic and environmental factors. (UNU-EHS)
Vulnerability assessments are policy and action oriented with the overall objective to mitigate/avoid the
negative impacts of disasters
