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Emergency planning and optimizations based on dam break flood risk maps visualized with open source web-GIS tool

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
Języki publikacji
EN
Abstrakty
EN
Nowadays technologies are changing every day and with them all services and tools in cases of disaster situations increase. However some sectors such as emergency planning and response are still having difficulties to implement the new technologies. In our paper we will present idea on how new technologies in flood risk mapping visualization can give more options to the first responders and optimize their time for reaction. The test area is located in Armenia, where exist a special dam constructed for mining purposes. It is built in earthquake vulnerable area and we evaluate the risk of dam break at that location. The final results which are flood risk maps are implemented in specially developed open source web-GIS tool. This tool is applicable for decision making in operational room or any other first responder facilities.
Rocznik
Tom
Strony
3--7
Opis fizyczny
Bibliogr. 6 poz., tab., il.
Twórcy
  • Institute of Information and Communication Technologies – BAS, Bulgaria
  • Institute of Information and Communication Technologies – BAS, Bulgaria
  • Institute of Information and Communication Technologies – BAS, Bulgaria
  • Center for National Security and Defence Research, Bulgaria
  • American University in Armenia
  • American University in Armenia
  • American University in Armenia
  • National Observatory of Athens – Greece
  • National Observatory of Athens – Greece
  • National Observatory of Athens – Greece
  • European University Cyprus – Cyprus
  • National Observatory of Athens – Greece
  • European University Cyprus – Cyprus
Bibliografia
  • 1. Georisk CJSC (2017) Assessment of the Multi-Component Risk Determined by the Maximum Seismic Impact on the Kapan City (Multi-Hazard City Scenario). Project # ARM 10-0000005849, Final Report.
  • 2. Gevorgyan A., Minasyan R., Khondkaryan V., Antonyan A. (2014) The Prediction of Possible Flooding of the Territory as a Result of the Accident of the Geghi Reservoir Dam.
  • 3. Costa, John E., 1985. Floods from Dam Failures. United States Department of the Interior, Geological Survey, Open-File Report 85-560, Denver, CO.
  • 4. Atallah, Tony A., 2002. A Review on Dams and Breach Parameters Estimation. Master of Science in Hydrosystems Engineering, Virginia Polytechnic Institute & State University, Blacksburg, VA, January 2002.
  • 5. Wahl, Tony L., "Dam Breach Modeling – an Overview of Analysis Methods". Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling. June 27 - July 1, 2010, Las Vegas, NV.
  • 6. Schlaffer S., Harutyunyan A. (2018) Working Paper: LCLU Voghji River Basin AUA Acopian Center for the Environment, AUA GIS and Remote Sensing Lab.
Uwagi
1. Track 1: Artificial Intelligence and Applications
2. Technical Session: 12th International Workshop on Computational Optimization
3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3246197b-d6be-465f-a8b3-ba5e894c1a15
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