Community based vulnerability assessment

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Information about Community based vulnerability assessment
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Published on November 28, 2008

Author: ISCRAM

Source: slideshare.net

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UN-SPIDER Workshop presentation

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

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 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

SIDPABB - Community based early warning system Búzi Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

Elements Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at 6

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/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

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

Workflow Vulnerability Prioritisation Community Mapping Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

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

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

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 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

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

‚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

‚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 extend yr 2000 - Health facilities - Markets - Streets - Major villages 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 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 photos of characteristic community features Centre for Geoinformatics – Salzburg University  www.zgis.at –  stefan.kienberger@sbg.ac.at

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

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 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

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

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

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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