National Seminar on Climate Change Impact and Adaptation, 2012CLIMATE CHANGE VULNERABLE COMMUNITY: A CASE OF             C...
IntroductionIt has been now widely accepted that community in the low elevation coastal zone (LECZ: 0-10m) will be largely...
Problem statementInterior coast >> Severe drainage congestion / water loggingExterior coast >> Storm surge          inunda...
Problem statement                                                 Impact of SLR on human settlement:Permanent inundation  ...
Vulnerability of coastal communityHistorically the coastal community of Bangladesh is exposed to the risk of Bio-physical ...
Vulnerability of coastal communityAs predicated by IWM and CEGIS (2007),1. Interior coast of southwest region may experien...
Storm surge inundation risk for predicated climate change context by the year 2050                                        ...
Vulnerability of coastal communityChang (1968) viewed settlement as proxy of community. He defined settlement as “the phys...
ObjectivesThe study aims to identify key vulnerability of coastal community in terms of risk exposure andresilience capaci...
Identification of key variables1. Settlement pattern and density :   - People who lived in scattered settlements near to t...
Study Area: Dhulasar Union , Kalapara Upazila                                                                  CHAR GANGAM...
Assessment of VulnerabilityOperational Definition : Vulnerability is a composite index of settlements exposure togeophysic...
Assessment of Vulnerability                     Vulnerability of settlement             Exposure to Geo-        Resilience...
Assessment of Vulnerability                                      Indicators                             Proxy variablesExp...
METHOD   Analysis Grid                                                           HIGH                                     ...
Step 01        Measuring Geo-physical riskStorm surge inundation risk map of Kalapara Upazila. (MoFDM, 2009)   Storm surge...
Step 02   Measuring Resilience Capacity of Housing Structure                                                              ...
Step 03   Measuring Infrastructural Capacity                               Selected variables with weighting value     Var...
Step 03   Measuring Infrastructural Capacity     Composite Infrastructural Capacity Index (CICi) = ∑ Wi * Access to servic...
Step 04     Composite Index of Settlement Capacity ( Housing + Infrastructure)  Housing index  Infrastructure index    Com...
Step 05        Comparison of results: Analyzing Geo-climatic Vulnerability of Settlement Baraharpara                      ...
Step 05         Comparison of results: Analyzing Geo-climatic Vulnerability of Settlement                      Degree of G...
Statistics of Highest and High vulnerable locality of Dhulasar union.Most vulnerable Storm      surge Household      % of ...
Filed verification : Char Gangamati  EmbankmentGangamati Forest                                                      m    ...
Filed verification : Char Gangamati                                                                           22      Clim...
Filed verification : Char Gangamati                                                                           23      Clim...
Filed verification : Char Gangamati                                                                           24      Clim...
Filed verification : Char Gangamati                                                                           25      Clim...
THANK YOU
Upcoming SlideShare
Loading in...5
×

Presentation climate change vulnerable community

250

Published on

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
250
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • The world has began to witness the consequences of climate change with the increased frequency of Tsunami, cyclones and devastating floods which is seriously affecting its helpless populace and leaving them in limitless miseries. For instance, Japan Tsunami, 2011 and Tsunami in Aceh, Indonesia, 2004, Cyclone Sidr in Bangladesh coast, 2007.
  • Presentation climate change vulnerable community

    1. 1. National Seminar on Climate Change Impact and Adaptation, 2012CLIMATE CHANGE VULNERABLE COMMUNITY: A CASE OF COASTAL BANGLADESH Authors: Saimum Kabir and Qazi Azizul Mowla
    2. 2. IntroductionIt has been now widely accepted that community in the low elevation coastal zone (LECZ: 0-10m) will be largely affected by the anticipated sea level rise (SLR). However, the extent ordegree of impact primarily depends on regional and local geo-morphology and socio-economiccontext. Being a densely populated low elevation coastal delta, Bangladesh stands to be the worstaffected one. Of the 40 deltas globally, the Ganges-Brahmaputra delta in Bangladesh is identifiedas an ‘extreme vulnerable’ coastal delta where more than 20 million population is estimated to bedisplaced by anticipated sea level trends to 2100 (IPCC,2007) . 01 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    3. 3. Problem statementInterior coast >> Severe drainage congestion / water loggingExterior coast >> Storm surge inundation, seasonalinundation due to rainfall, increased intensity of cyclone,Both areas>> Increase in water and soil salinity 02 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    4. 4. Problem statement Impact of SLR on human settlement:Permanent inundation Loss of habitable land and ecosystem in directly affected area The rehabilitation of the displacedMass displacement of population population will exert additional pressure to the settlement in relatively safe area. 02 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    5. 5. Vulnerability of coastal communityHistorically the coastal community of Bangladesh is exposed to the risk of Bio-physical hazardslike cyclones, storm surge, salinity and tidal flooding. This multi-hazard proneness in togetherwith the limited capacity of communities and local authorities to respond to the existinghazards, weak preparedness, insufficient protection measures and lack of community basedorganizations makes the people more vulnerable to anticipated future risk. 02 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    6. 6. Vulnerability of coastal communityAs predicated by IWM and CEGIS (2007),1. Interior coast of southwest region may experience severe drainage congestion /waterlogging due to 62cm sea level rise ( SLR). About 32% more area will be deeplyinundated due to overtopping of embankment.2. Exposed coast of central and eastern region will experience increased intensity of cycloneand seasonal inundation due to increased rainfall in addition to 62 cm sea level rise. Beside thisarea will be severely exposed to storm surge inundation. About 16% more area in Patukahaliand 18% of Chittagong district will be inundated seasonally due to sea level rise and high tide.3. In both areas salinity problem will be increased from the existing situation. 03 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    7. 7. Storm surge inundation risk for predicated climate change context by the year 2050 04 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    8. 8. Vulnerability of coastal communityChang (1968) viewed settlement as proxy of community. He defined settlement as “the physicallocale where the members of a community lived….” . So it can be asserted that vulnerability ofcoastal community is largely determined by the vulnerability of coastal settlement. According toPelling (2003) “ Vulnerability of settlement is measured on the scale of nature and severity of theevent as well as the physical and socio economic factors that determine the degree of settlementresilience; how they are affected and capacity of settlement component or community to recover” 05 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    9. 9. ObjectivesThe study aims to identify key vulnerability of coastal community in terms of risk exposure andresilience capacity of the settlement. 06 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    10. 10. Identification of key variables1. Settlement pattern and density : - People who lived in scattered settlements near to the coast and in linear settlements along the coastal embankment are more susceptible to cyclonic sea surge. -The more dense the settlement , the more people is at risk.2. Housing characteristics -Jupri and katcha house lack proper jointing and anchorage details to withstand high and sudden loading generated by cyclone induced tidal surges and thus is most vulnerable among all .3. Access to community shelter - shelter can save life in extreme hazard situation.4. Access to high land or pacca road -Good road communication can save life in two ways – i) proving safe route from community to shelter earlier to hazard event ; ii) ensuring post disaster outside assistance and transportation of relief goods.5. Access to emergency health facility -Health facilities are emergency Medicare provider and important post-event source of relief.6. Access to primary education facility -Illiteracy constrains the ability of a person to understand early warning and access to recovery information. 07 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    11. 11. Study Area: Dhulasar Union , Kalapara Upazila CHAR GANGAMATI BAY OF BENGAL 08 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    12. 12. Assessment of VulnerabilityOperational Definition : Vulnerability is a composite index of settlements exposure togeophysical risk and capacity of settlement’s physical components i.e. housing and infrastructureto cope with.In this study spatial vulnerability of Dhulasar union at community level is analyzed based onselective indicators following ‘Analysis grid’ (250mx250m) method. 09 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    13. 13. Assessment of Vulnerability Vulnerability of settlement Exposure to Geo- Resilience capacity of climatic risk settlement features Housing Infrastructure 10 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    14. 14. Assessment of Vulnerability Indicators Proxy variablesExposure to Geophysical Wind Wind speed *risk Storm surge inundation Depth of inundationResilience capacity of Housing Density of katcha housesettlement pattern Infrastructure Proximity to nearest cyclone shelter Proximity to nearest pacca road / high land Proximity to nearest health care facility Proximity to nearest primary school* Exposure to wind risk is measured on the basis of cyclone risk zone as identified in the study of MultipurposeCyclone Shelter Program ( MCSP) ( BUET & BIDS , 1993). According to MCSP study the Dhulasar union ofKalapara upazila falls in High Risk Area ( HRA) and thus the exposure to wind risk is considered same in all partsof the union. 11 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    15. 15. METHOD Analysis Grid HIGH LOW 12 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    16. 16. Step 01 Measuring Geo-physical riskStorm surge inundation risk map of Kalapara Upazila. (MoFDM, 2009) Storm surge inundation risk map of Dhulasar Union adopted from MoFDM, 2009 13 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    17. 17. Step 02 Measuring Resilience Capacity of Housing Structure More Resilient Less Resilient Housing Capacity Index (HCi ) = Ratio Index (Ri) _katcha house / Ri max _katcha house 14 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    18. 18. Step 03 Measuring Infrastructural Capacity Selected variables with weighting value Variables weight comments Contributing period Proximity to nearest 0.40 Most desired destination. Shelter can During disaster Cyclone shelter act as safe house for the affected. safety Proximity to nearest 0.30 Provide safe evacuation route and During and post high land / pacca road temporary shelter for refugee and disaster safety and livestock rehabilitation Proximity to nearest 0.20 source of emergency medicare and Post disaster Health facility relief recovery Proximity to nearest 0.10 Raise awareness and provide Pre disaster primary school information for early recovery preparedness Total 1.00 15 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    19. 19. Step 03 Measuring Infrastructural Capacity Composite Infrastructural Capacity Index (CICi) = ∑ Wi * Access to service Index (ASi) / n 16 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    20. 20. Step 04 Composite Index of Settlement Capacity ( Housing + Infrastructure) Housing index Infrastructure index Composite Settlement Capacity Index (CSCi)= Housing Index (HCi )X 0.6 + Infrastructure Index (CICi )X 0.4 17 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    21. 21. Step 05 Comparison of results: Analyzing Geo-climatic Vulnerability of Settlement Baraharpara Baraharpara Char Gangamati Char Gangamati Geo-physical risk exposure of Dhulasar Union Resilience capacity of settlement of Dhulasar Union 18 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    22. 22. Step 05 Comparison of results: Analyzing Geo-climatic Vulnerability of Settlement Degree of Geo-climatic vulnerability and pattern of settlement in Dhulasar Union. Village/ locality Settlements Settlements Settlement Settlement pattern Exposure to Geo- resilience vulnerability Rn physical risk (-) capacity (+) Char Dhulasar Highest Moderate High dispersed 1.04 Char Gangamti Highest Lowest Highest semi dispersed 0.56 Kawar Char High Moderate High dispersed 1.00 East Dhulasar High Low High semi dispersed 0.79 West Dhulasar Moderate Moderate Moderate dispersed 1.00 Ananta para Moderate Highest Low dispersed 1.34 Baultali Moderate Lowest High semi linear 0.49 Muslim para Moderate Lowest High dispersed 1.49 Nayakata Moderate Moderate Moderate semi dispersed 0.95 Tarikata Moderate Low Moderate semi dispersed 0.95 Char Chapli Low Highest Lowest dispersed 1.13 West Char Chapli Low High Low semi dispersed 0.97 Gangamti Low Moderate Low semi linear 0.42 Barahpara Lowest Lowest Low semi dispersed 0.67 Nutan para Lowest Low Low dispersed 1.13 0.00-0.09 – absolute cluster/ nucleated, 0.10-0.22 semi nucleated, 0.23-0.39linear, 0.40- .49 semi linear, 0.50 –.99 semi-dispersed, 1.00- 1.50 dispersed/ scattered 19 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    23. 23. Statistics of Highest and High vulnerable locality of Dhulasar union.Most vulnerable Storm surge Household % of Nearest high Nearest Nearest NearestLocality Inundation depth density (per katcha land /pacca cyclone health care educational (m) sqkm) house road shelter facility facility Min Max (km) (km) (km) (Primary school) (km)Char Dhulasar 2.00* 6.00 120 89% 0.26 0.81 4.84 0.48 .01 .78 0.1 2.0 4.0 6.7 .09 .98Char 2.00 5.00 65 81% 0.50 0.97 2.53 0.97Gangamati .01 1.13 .12 1.8 1.8 3.4 .12 1.8Kawar Char 1.00** 6.00 57 95% 0.39 0.95 2.19 0.71 .01 .86 .09 2.7 .66 3.8 .50 1.7East Dhulasar 2.00** 4.00 110 69% 0.16 1.76 5.44 0.79 .01 .55 .69 2.8 4.0 6.7 0.1 1.46*Area along the Embankment remains partly inundated (0-1.0 m)** Area along the Embankment remains inundation free 20 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    24. 24. Filed verification : Char Gangamati EmbankmentGangamati Forest m 500 B a y o f B e n g a l 21 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    25. 25. Filed verification : Char Gangamati 22 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    26. 26. Filed verification : Char Gangamati 23 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    27. 27. Filed verification : Char Gangamati 24 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    28. 28. Filed verification : Char Gangamati 25 Climate Change Vulnerable Community : A Case of Coastal Bangladesh
    29. 29. THANK YOU

    ×