Second UN-SPIDER Workshop
                                           October 13 – 15, 2008
                               ...
Mozambique - Hazards




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Flood 2000: Impressions




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Disaster Risk Reduction in
                         Mozambique
 Strong support through INGC (=national authority
  respon...
SIDPABB - Community based
  early warning system Búzi




    Centre for Geoinformatics – Salzburg University  www.zgis.a...
Elements




               Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
...
Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

7
Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

8
Case study area: Búzi




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Vulnerability mapping at the
                   community level

 Get an understanding of vulnerabilities to
  floods/dro...
Spatial scale of vulnerability




    Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger...
Workflow



                                              Vulnerability Prioritisation



                                ...
PRA
                Community Mapping




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienber...
Field Work
                                               Mapping exercise
   Working with Quickbird satellite imagery (r...
Community mapping




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Community mapping




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Community mapping




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Community mapping




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Vulnerability prioritisation


 Get an understanding of the driving forces
  from a perspective of the communities (3
  c...
Vulnerability scoring




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Vulnerability scoring




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Vulnerability scoring




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Vulnerability scoring




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Results



                                 Vulnerability Map




                            Satellite Map &
            ...
‚Vulnerability‘ map

Map elements:

- Main map: Community map
     - Land Use/Land Cover
     - Community Infrastructure (...
‚Vulnerability‘ map




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
‚Vulnerability‘ map




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
‚Vulnerability‘ map



Small map: Surrounding area

-   Community location
-   Accomodation centres   (yr 2000)
-   Flood ...
‚Vulnerability‘ map




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
‚Vulnerability‘ map




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Satellite map




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Satellite map

                                                                  Georeferenced
                           ...
Outlook: District Level

-Identification of vulnerability indicators
    - integration of RS and census data

- Weighting ...
Requirements




Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
Conclusions & Challenges

 Targeting the planning, decision making process, within the
  communities through the integrat...
Thank YOU very much!

http://projects.stefankienberger.at/vulmoz/

                                                       ...
Major findings
                 Vulnerability prioritisation
      Significant difference between prioritisation of flood ...
Vulnerability assessment

Vulnerability is the intrinsic and dynamic feature of an element at risk
      (community, regio...
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Community based vulnerability assessment

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Community based vulnerability assessment

  1. 1. Second UN-SPIDER Workshop October 13 – 15, 2008 Bonn, Germany Community based vulnerability assessment The case of flood risk reduction in Central Mozambique Stefan Kienberger Centre for Geoinformatics | Salzburg University | www.zgis.at Stefan Kienberger | Researcher | stefan.kienberger@sbg.ac.at
  2. 2. Mozambique - Hazards Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  3. 3. Flood 2000: Impressions Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  4. 4. 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 –  stefan.kienberger@sbg.ac.at
  5. 5. SIDPABB - Community based early warning system Búzi Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  6. 6. Elements Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at 6
  7. 7. Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at 7
  8. 8. Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at 8
  9. 9. Case study area: Búzi Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  10. 10. 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 –  stefan.kienberger@sbg.ac.at
  11. 11. Spatial scale of vulnerability Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  12. 12. Workflow Vulnerability Prioritisation Community Mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  13. 13. PRA Community Mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  14. 14. 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 –  stefan.kienberger@sbg.ac.at
  15. 15. Community mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  16. 16. Community mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  17. 17. Community mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  18. 18. Community mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  19. 19. 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 –  stefan.kienberger@sbg.ac.at
  20. 20. Vulnerability scoring Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  21. 21. Vulnerability scoring Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  22. 22. Vulnerability scoring Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  23. 23. Vulnerability scoring Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  24. 24. Results Vulnerability Map Satellite Map & District Map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  25. 25. ‚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 –  stefan.kienberger@sbg.ac.at
  26. 26. ‚Vulnerability‘ map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  27. 27. ‚Vulnerability‘ map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  28. 28. ‚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 –  stefan.kienberger@sbg.ac.at
  29. 29. ‚Vulnerability‘ map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  30. 30. ‚Vulnerability‘ map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  31. 31. Satellite map Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  32. 32. Satellite map Georeferenced photos of characteristic community features Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  33. 33. 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 –  stefan.kienberger@sbg.ac.at
  34. 34. Requirements Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  35. 35. 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 –  stefan.kienberger@sbg.ac.at
  36. 36. Thank YOU very much! http://projects.stefankienberger.at/vulmoz/ Contact: stefan.kienberger@sbg.ac.at www.uni-salzburg.at/zgis/kienberger Acknowledgments: Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  37. 37. Major findings Vulnerability prioritisation Significant difference between prioritisation of flood vs drought  small distance 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) Floods (highly ranked) Droughts (highly ranked) Destruction of dams (Avg. 8; Std Lack of irrigation system (Avg. 9,6; Dev. 2,8) Std Dev. 0,5) Lack of dam management (Avg. 6; Uncontrolled fire (Avg. 3; Std Dev. Std Dev. 2,2) 0,8) Living in flood zones (Avg. 6; Std Lack of rainfall (Avg. 3; Std Dev. Dev. 2,2) 1,4) Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at
  38. 38. 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 Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

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