Overview of Presentation

Transcription

1 Data Needs of the National Disaster Management Office (NDMO)Solomon Islands Workshop on Geo DRM systems Cook Islands 2 nd 6 th September 2013 by Samson Kanamoli (Solomon Islands NDMO Rep) Overview of Presentation Functions of the NDMO Type of data we currently have Type of data we require Organisations that may have the data we need Problems in accessing and using required data 1

2 Functions of the NDMO First a definition Disaster Risk Management (DRM) refers to: Risk reduction Disaster preparedness Disaster response Recovery and rehabilitation Functions of the NDMO Provide advice to the Minister and the Council on all matters relating to DRM Develop policy and provide leadership and advocacy across the DRM sector Provide planning, and establish arrangements, for DRM at the national level Coordinate, support and monitor planning and arrangements for DRM at the sector, provincial and community level 2

3 Functions of the NDMO Coordinate and manage the national response to and recovery from disaster events when they occur Develop and support public awareness of DRM and their role within it Engage with partners, NGO s and civil society to ensure their involvement in DRM is effectively integrated with the arrangements of the NDRM Plan Establish and maintain databases for DRM information including hazard and vulnerability maps, planning documents and disaster information Monitor DRM development and activity and report to Council. Type of data we currently have Historical data of hazard events Reports from past disaster response activities Topographic maps Pacific Catastrophe and Risk Financing Initiative (PCRAFI) data measuring exposure to cyclone and earthquake hazards and estimating economic losses. 3

4 Example of PCRAFI output Type of data we require Risk = Hazards x Vulnerability Vulnerability refers to social factors as much as it does to the physical exposure of buildings or environment We need to combine the information we have about physical vulnerability with information that tells us about social vulnerability Is there a way to marry data from GIS initiatives with social vulnerability data? 4

5 Type of data we require Gender Age Employment Livelihood Social Vulnerability Land ownership Population Density Literacy Environment & Natural resource mngmt Type of data we require This information is important for all aspects of DRM Some contextual examples: Risk reduction knowledge of livelihood strategies and natural resource management is necessary for reducing risk Disaster preparedness effective means of delivering key messages shaped by level of literacy and age Disaster response population density & gender disaggregated data for delivering appropriate assistance Recovery and rehabilitation employment options and land ownership are critical factors 5

6 Organisations that may have the data we need SIG Ministries (Health, Education, Statistics, Lands, Agriculture, Fisheries, Forestry etc) Regional Organisations (SPC/SOPAC, SPREP) International NGO s (Red Cross, World Vision, Oxfam, Save the Children, Act for Peace) National Civil Society (SIDT, Kastom Gaden, Church groups, Women in Business) Donor Organisations (UN, AusAid, NZAid, World Bank, EU, ADB) Data available for flooding Prone and Tsunami Prone Area 5 meters contour for Honiara Urban Area which determines Population and Hholds living within 5 m range for Tsunami prone 6

7 HONIARA URBAN AREA Data show as example available in Geo Population. Coastal part of Mataniko ward buffer as community by total number (10) of people. Mataniko ward Household with more than 10 people per household. Problems in accessing and using required data We don t always trust other people s data We are reluctant to share what we have with others Are the various data sets compatible? Knowledge = power..who should control it and have access to sensitive information? Information requires regular updating in order to be useful Expertise and equipment for handling data in-country is difficult to find and maintain Biggest challenges for NDMO Access to other Government agencies for National Data Data specialist, e.g.. Data interpreters, data analysis 7

8 Questions or comments? THANK. YOU!!! And Tagio tumas 8