готтфрид конечный


Published on

Published in: Technology
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

готтфрид конечный

  1. 1. Geoinformation Technologyand Disaster ManagementPaper to the Interexpo Geo-Siberia-2012 by Gottfried Konecny Emeritus Professor Leibniz University Hannover, Germany
  2. 2. Geoinformation Technology and Disaster Management1. Introduction – the Role of ISPRS and EARSeL2. Possible Actors in Disaster Management National Actors (EMERCOM) International Actors (UNOOSA & Space Agencies)3. Conclusion
  3. 3. ISPRS and EARSeL Experiences- The Oder (Odra) Flood with impacts for Poland, Czech Republic and Germany (EU application)- Council of Europe Support to EMERCOM, Ministry of the Russian Federation (Review)- UN-OOSA Charter for Disasters and cooperation with the Space Agencies
  4. 4. Successful Model 1: a powerful national agencywith the needed infrastructure
  5. 5. Required Disaster Mitigation Infrastructure of EMERCOM1. Central Emergency Decision Centre2. Real Time Satellite Imagery Reception (NOAA, etc.)3. Seismic Networks4. GIS Information of all endangered regions based on: - digital topographic maps - population data as a GIS layer - evacuation routes - layer on building material type used5. Fire, Contamination or Accident reporting system6. Computer enhanced Analysis capabilities7. Studies on frequency of disasters8. Preparation of Manuals for Disaster Actions
  6. 6. Natural Disasters in Russia
  7. 7. TechnicalDisastersIn Russia1996 &1997
  8. 8. Human Induced Hazards:Nuclear Power PlantsChemical HazardsIndustrial FiresPipelinesTransportHydraulic Stuctures (dams)Municipal engineering constructionMunicipal engineering energy and water supplyCombined effects (water, oil or gas extraction causing subsidence, earth quake damages)
  9. 9. Seismic Danger Zones in Russia
  10. 10. Decision Support Room at EMERCOM, Moscow
  11. 11. Lessons Learnt from past disasters:Examples: Indian OceanTsunami 2004 New Orleans Flood 2005 Wenchuan Earthquake 2008 Sendai Tsunami and Fukushima 2011Attempts for bilateral technical cooperation: India refused foreign cooperation, it claimed to have national facilities, while Sri Lanka, Thailand and Indonesia did not have them German (GFZ) installation of Tsunami Early Warning system for Indonesia difficulties: complexity of system operations, local acceptance?
  12. 12. Wenchuan Earthquake, China, 2008
  13. 13. Satellite Images before and after Tsunami in Japan 2011
  14. 14. SO2 Distribution after Volcanic Eruption in Iceland May 2010
  15. 15. Tsunami Early Warning SystemSeismometer Tidal Stations Pressure Gauges GPS Buoys Earthand GPS Observation Datacontinuous continuous after significant seismic event post eventUse in Decision Support System for - prediction - determination of risk areas - evacuation plans - use of earth observation data for emergeny mapping
  16. 16. Successful Model 2:Cooperation with the United Nations(International Charter for Disasters) and the Space Agencies
  17. 17. Bridging the Gap From Data to Information calibrate, georeference, retrieve, map, validate, assimilate, model, analyze, assess, archive, access, Utilize
  18. 18. Over 40 Analysis Products and Maps in Two Weeks
  19. 19. Elbe Flood, Torgau, Germany
  20. 20. Pre and Post Disaster Image Banda Aceh, Indonesia
  21. 21. Earthquake Damage Assessment Muzaffarabad, Pakistan
  22. 22. Monitoring of Refugee Camps, Camp Mille, Chad
  23. 23. Conclusion:the two operational models discussed are effectiveModel 1: a national model has the advantages: the entire chain of disaster aspects, from prediction, preparedness, obervation, relief strategies to damage assessment. It needs a national infrastructure backed by politics, finances and a strong relief forceModel 2: an international model restricted to observation, managed by the UN and by specialized global agencies (e.g. for rapid observation from space in cooperation)