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Presentation @ ISCRAM 2014

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Presentation @ ISCRAM 2014

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HORITA, F. E. A., FAVA, M. C., MENDIONDO, E. M., ROTAVA, J., SOUZA, V. C., UEYAMA, J., ALBUQUERQUE, J. P. (2014). AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring. In 11th International ISCRAM Conference – University Park, Pennsylvania, USA.

HORITA, F. E. A., FAVA, M. C., MENDIONDO, E. M., ROTAVA, J., SOUZA, V. C., UEYAMA, J., ALBUQUERQUE, J. P. (2014). AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring. In 11th International ISCRAM Conference – University Park, Pennsylvania, USA.

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Presentation @ ISCRAM 2014

  1. 1. AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring Flávio E. A. Horita Institute of Mathematics and Computer Science (ICMC) – University of São Paulo (USP) - Brazil horita@icmc.usp.br http://www.agora.icmc.usp.br | http://www.flaviohorita.com
  2. 2. Agenda • Background • Digital Dashboards • Research Problem • AGORA-GeoDash • Deployment • Evaluation • Conclusion 2
  3. 3. Background • Disasters in Brazil 3 Duque de Caxias/Rio de Janeiro on Jan, 2013
  4. 4. Background • Disasters in Brazil 4 Porto Velho/Rondônia on Fev, 2014
  5. 5. Background • Disaster in Brazil 5 Flood in São Carlos/São Paulo on Oct 22, 2013 2h20min – 105mm
  6. 6. Background • Disasters in Brazil 6 EM-DAT – The International Disaster Database 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 1991-2000 2001-2010 2011-2013 Flood Drought Storms Landslide
  7. 7. Background • Numbers of floods in Brazil 7 Report 2013 of Brazilian Institute of Geography and Statistics (IBGE) Communities Affected 5.570 cities 1.543 affected
  8. 8. Background • Numbers of floods in Brazil 8 Report 2013 of Brazilian Institute of Geography and Statistics (IBGE) Communities Affected 5.570 cities 1.543 affected
  9. 9. Background • Numbers of floods in Brazil 9 Report 2013 of Brazilian Institute of Geography and Statistics (IBGE) Communities Affected 5.570 cities 1.543 affected
  10. 10. Digital Dashboards • Most important management information needed to support strategic activities (Few, 2006; Liang and Miranda, 2001) • Single Screen • Performance Indicators • User-friendly • Drill-down function (Vasiliu, 2006) • Decision-making faster 10
  11. 11. Digital Dashboards • Digital Dashboards 11http://www.theomegagroup.com/fire/omega_dashboard_fire.html
  12. 12. Research Problem • Brazil faces a lot of structural problems: – Traditional performance indicators are not sufficient – Real-time information is not easily available – There is not a standard to connect the information system available 12
  13. 13. Research Problem • Main research question How to support the real-time decision-making in flood situations through the rivers monitoring? 13
  14. 14. AGORA-GeoDash • Processes real-time information • Enables the interoperability among other information systems (OGC standards) • Provides performance indicators essentials for flood risk monitoring 14
  15. 15. AGORA-GeoDash • Layer Structure 15
  16. 16. AGORA-GeoDash • The Geosensor Dashboard 16
  17. 17. AGORA-GeoDash • The Hazard Index – Uses depth and water velocity to identify if an adult can be dragged by the water (Rotava et al., 2013) 17
  18. 18. Deployment • Deployment context 18
  19. 19. Deployment • Deployment context 19 • Wireless Sensor Network with three sensors using ZigBee for the Data Source Layer • Communication among sensors and base station via JSON
  20. 20. Deployment • Deployment context 20 • The Service layer uses JSP to process and PostGIS to storage the data provided by the previous layer. • The communication with the Visualization Layer uses SOS Specification specifically the 52 north framework (Jirka et al., 2012). PostGIS
  21. 21. Deployment • Deployment context 21 • Geosensor Dashboard • The Visualization Layer uses ExtJS with OpenLayers framework to handle the geographic data and integrate with OGC services.
  22. 22. Evaluation • Flood event on Oct 22-23, 2013 – 2h20m of rain with an amount of 105mm (all Dec) 22
  23. 23. Evaluation • Rainfall on Nov 4, 2013 23
  24. 24. Conclusion • Real-time information is essential • The AGORA-GeoDash presents itself as an important approach to support decision- making • Hazard Index is an important performance indicator to aid in flood situations 24
  25. 25. Future Work • Improve the dashboard with other performance indicators • Integrate Volunteered Geographic Information (VGI) with other sources to provide real-time information (Degrossi & Albuquerque, 2014) • Interface and usability analysis 25
  26. 26. AGORA-GeoDash: A Geosensor Dashboard for Real- time Flood Risk Monitoring Flávio E. A. Horita1, Maria C. Fava2, Jairo Rotava2, Eduardo M. Mendiondo2, Vladimir C. Souza3, Jó Ueyama1, and João Porto de Albuquerque1 1Institute of Mathematics and Computer Science (ICMC/USP), 2Department of Hydraulic (DHS/USP), 3Center for Technology (CTEC/UFAL)
  27. 27. AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring Flávio E. A. Horita Institute of Mathematics and Computer Science (ICMC) – University of São Paulo (USP) - Brazil horita@icmc.usp.br http://www.agora.icmc.usp.br | http://www.flaviohorita.com

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