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Disaster Information Systems

From sujit29, 5 months ago Add as contact

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  1. Slide 1: Disaster Information Systems The Indian vision Ministry of Home Affairs, Government of India & United Nations Development Programme, India
  2. Slide 2: Mission Statement Creation of a knowledge base under the proposed National Mission for Disaster Risk Reduction to facilitate planning & policy decisions for preparedness, response, recovery and mitigation at all levels.
  3. Slide 3: Information systems framework for Disaster Management Reducing disaster losses & conserving developmental gains Planning & Policy decision for Quick emergency response & Facilitating disaster preparedness & recovery mitigation Hazard mapping & 1 Human & material response 1 resources Vulnerability Assessment 2 Database of disaster history Database of Infrastructure, 2 elements for trend & pattern analysis lifelines & critical facilities. 3 Database of disaster management plan. Database of trained human Awareness & training 3 4 resources. materials Inventory of legal, 5 Demographic information techno legal, administrative 4 GIS based information and institutional framework 5 system Knowledge base for disaster management
  4. Slide 4: Components of Knowledge based portal in India Today’s focus • India National Disaster Database (InDisData) • India Disaster Resource Network (IDRN) • Disaster Management expertise database • District Disaster Management Plans • Virtual Risk Management Knowledge net
  5. Slide 5: Components of Knowledge based portal in India For benchmarking risk, vulnerability and associated trends • India National Disaster Database (InDisData) • India Disaster Resource Network (IDRN) • Disaster Management expertise database • District Disaster Management Plans • Virtual Risk Management Knowledge net
  6. Slide 6: Components of Knowledge based portal in India An effective decision making tool for emergency preparedness & response planning • India National Disaster Database (InDisData) • India Disaster Resource Network (IDRN) • Disaster Management expertise database • District Disaster Management Plans • Virtual Risk Management Knowledge net
  7. Slide 7: Role of Disaster information system in various phases of Disaster Management • Risk & vulnerability • Preparedness for identification response & recovery ● Database of existing skilled ● A database of past human & material disasters effects to resources for emergency determine the risks in response. particular geographic ● Database on human location. resources trained on ● Zoning of hazards various aspects of disaster using GIS. management. ● Validating the disaster ● Develop preparedness history database with plans based on risk, hazard maps and available skill & resources. other external data for ● Converting Disaster accuracy in risk • Mitigation strategies and policies Management plans into assessment. electronic documents for ● Mitigation strategies, policies and easy accessibility and easy legislation based on statistical facts & updating. figures from various databases. ● Development of a virtual knowledge net for creation of a network of institutions, developmental organizations and Government dept. for information sharing and preserving the research efforts.
  8. Slide 8: InDisData in risk & vulnerability A tool to identify trends Objective • Create an inventory database of disasters that facilitates understanding of disaster patterns to improve disaster management. • Analysis of a systematic geo-referenced inventory of small, medium and large-scale disasters for past 30 years. • Creating political and bureaucratic will to manage disaster risk before the occurrence. • To rationalize decision making for disaster preparedness, as well as providing an objective base for vulnerability assessment and priority setting. • To support planning & policy decisions for disaster preparedness and mitigation.
  9. Slide 9: Building systematic disaster inventory • A methodological tool to inventorize data about characteristics and effects of diverse type of disasters known as ‘DesIneventar’ is used by many countries in the Latin America and now being tested in India. • The inventory focuses not only on big disasters but causes and effects of small & medium scale disasters at the local level. • It allows analysis of the data for local level and gives a holistic view at State and National level. • The database of disaster location, its effects, and its causes will in turn support the generation of Vulnerability indices for the country. • ‘InDisData’ pilot initiative has been taken up in Orissa to collate the above for the past 32 years has been built.
  10. Slide 10: DesInventar Desinventar methodology includes two software modules DesInventar: • A relational database through which parameters like events, causes, data DesConsultar: sources, and effects are captured • A decision making tool which uses the DesInventar database to query and analyze the database through maps, tables and thematic maps.
  11. Slide 11: Orissa pilot Out come & findings • Data collected for 30 districts and 314 blocks from News Papers. • Last 32 years data collected from media & Government records. • Institutionalization with Government for sustainability. • Interpretation and analysis of the data shows new dimensions of risk & vulnerabilities of the State. • Orissa ‘Vulnerability Analysis Report’ is being prepared in association with ‘Center for Development Studies’.
  12. Slide 12: Orissa- Outcomes… Effect on Lives lost Effect on Livelihood • Death due to epidemic is maximum •. The number of victims are higher during followed by cyclone and drought. floods in comparison to those under fire. • Epidemics generally follow floods and •Fire makes people more vulnerable in terms more disastrous because of low economic of property and life but flood makes them level and accessibility of medical facilities. more vulnerable in terms of livelihood, since agricultural lands get inundated. And Orissa being a predominantly agricultural economy gets shattered in times of floods.
  13. Slide 13: Seasonality of Disasters Trend of epidemic in Orissa 300 250 200 No. of reports 150 100 50 0 Jan F eb M ar A pr M ay Jun Jul A ug S ep Oct Nov Dec
  14. Slide 14: Seasonality of Disasters Trend of floods in Orissa 300 250 200 No. of reports 150 100 50 0 Jan F eb M ar A pr M ay Jun Jul A ug S ep Oct Nov Dec
  15. Slide 15: Inter District analysis of trends of epidemics in Orissa
  16. Slide 17: Trend of damage to housing due to fire
  17. Slide 18: The regional approach • Initiative has been taken for building a disaster inventory in Nepal & Vietnam as part of a PA from BCPR. • A methodological training has been carried out in Nepal with participation from Govt., NGOs and UNDP. • Government is taking a lead along with UNDP and NSET. • Data collection, collation and validation is being carried out by a group of researchers. • Initial preparation is being initiated at Vietnam.
  18. Slide 19: India National Disaster Database Way Forward… • Replication in other states of India in partnership with social science research institutions such as ‘Center for Development Studies’ and Government of India. • Implementation of online version for prospective data base creation. • Institutionalization through IDRN and DRM programme of Govt. of India. • Sub-national & National level vulnerability analysis report (annual) to be institutionalized by 2005
  19. Slide 20: Online resource inventory for disaster management • National initiative under the Govt. of India-UNDP DRM programme in collaboration with National Informatics Center, Government of India. • A database to minimize emergency response time by effective decision making on mobilization of human & material resources. • Online database for capturing the countrywide inventory of equipments and skilled human resources for emergency response. • Systematic data collection & collation from Govt. line departments ,Public Sector Units etc at the district level.
  20. Slide 21: Enabling key decision makers in block, district, State and national level to make quick decision on mobilizing equipments/ skilled human resources during emergencies. • Decentralized inventory data collection and compilation at the District level. • Network of 600 districts of 35 States contributing in building a national database of resources. • User friendly interfaces for ease of data entry & database maintenance. • Powerful database query module enabling the decision makers easily locating information. • Various access level ensuring security of the data.
  21. Slide 22: Together towards a safer world…