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Training school (5-9 October)

Training school (5-9 October) . Sisi Zlatanova Associate Professor OTB, Delft University of Technology Section GIS technology The Netherlands. 3D Geo-information for Disaster Management . Learning Goals:

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Training school (5-9 October)

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  1. Training school (5-9 October) Sisi Zlatanova Associate Professor OTB, Delft University of Technology Section GIS technology The Netherlands

  2. 3D Geo-information for Disaster Management Learning Goals: To examine the different phases and characteristics of risk and disaster management and the demands for 3D GIS - technology that is derived from these characteristics. To understand the roles and responsibilities of actors involved in risk and disaster management and to be able to understand and define the domain semantic. To get familiar with 3D applications for risk and disaster management To analyse the potential of current 3D GIS technology to support decision making. To be able to suggest new 3D GIS technologies when appropriate To analyze to which extent a semantic enrichment could overcome the current limitations and which semantics would be suitable to risk and disaster management issues

  3. Place • Delft (3), • Arnhem (1), • Amsterdam (1)

  4. Participants • 18 Lecturers: TUD (2), ITC (1), VU (3), other Dutch lectures (4), Geodan (1), e-Semble (1), invited lectures (2), COST (4) • 26 Students: MSc (2), PhD (23) and young researchers (1) • 16 countries: Austria (1), Belgium (2), Bosnia and Hercegovina (1), Bulgaria (1), Czech Republic (1), Germany(4), Italy (2), Korea (1), Latvia (1), Netherlands (3), Portugal (2), Romania (2), Slovenia (1), Spain (2), Sweden (1) and UK (1) • 22 fellowships from COST, 3 own expences, 1 used STSM • Selected from 38 candidates (35+3 from dutch organisations) • +2 visited separate days (2 and day 4)

  5. Day 1, Delft In the morning 3 Lectures: “Risk and Emergency Management Basics” In the afternoon: Group Assignments (fire, flood, buildings, earthquake) In the evening: Dinner

  6. Dinner

  7. Day 2, Delft • In the morning: 3 Lectures “3D Geo-information technology” • In the afternoon: Lecture and Demo E-Semble

  8. Day 3, Arnhem Travel to Arnhem (7:30-10:00), The Netherlands Institute of safety (NIVF) In the morning lectures: Importance of Geo-information for disaster management Lunch In the afternoon: Exercise Dyke Break Travel to Delft (17:00-19:30)

  9. Dyke Break

  10. Day 4, Delft In the Morning lectures: Semantic interoperability In the afternoon: workshop on Ontology (work with Protégé and Racer

  11. Day 5, Amsterdam • In the morning: lectures on “ Geo-inromation for disaster managemnet” • In the afternoon: • Student group presentations • Award ceremony • Visit Geodan

  12. Final presentations Group work presentations Flood Fire Buildings Earthquake Award ceremony

  13. Visit Geodan

  14. Conclusions (education) • Students are very enthusiastic about it • Active all the time (working also in the hotels) • Some of the groups are preparing papers • More time for exercises (depends on the students) • Lectures have to be given in advance • The students have to prepare for the school • More time for presentations and analysis of the work • Next: School on semantic an ontology!?

  15. Conclusions for the COST action (1/2) Based on the Lectures: Emergency response is a rich case for the goals of the COST action: • many users with different terminology are involved (related to creating ontologies) • many different models are needed (mapping between ontologies) • 3D city models are of interest but not actively used, because the 3D models are not easily available and the semantics of the existing ones is very poor (only for 3D visualisation) • context-aware aspect of information is very important, i.e. information related to a specific task (to reduce overload of information) => directly related to linking ontologies

  16. Conclusions for the COST action (2/2) Based on student work: All of the cases studies showed advantages in use of 3D semantically enriched models: • Forest fire: 3D modelling of the fire (smoke and air pollution especially when it is in the visinity of cities); enriching current 3Dcity models with air pollution models (sensor information) • Flood: flood models considering indoor structures, underground construction (tunnels, shops); enriching 3D city models with sensor information • Earthquake: 3D models with semantic information about the structure and construction of the building (BIM were given as an example of a needed model for damage assessment and rescue of people) • Emergencies in buildings: 3D indoor models were pointed of a great importance, enrichment with information about facilities (pipes and data about people in buildings, evacuation plans, event situation, construction and material used in the building.

  17. It is a lot of work to organize a school but …but it is very pleasant to work with the students.

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