0
DISASTER EARLY WARNINGAND RESPONSE SYSTEM(DEWRS)Supervisor: Dr. MbaleName: Raymond MuntuumoStudent Number: 200811282
Content Introduction Literaturereview System architecture Methodology Project Requirements Conclusion References1  ...
Background Natural   disasters have become frequent and    more devastating. Early   warning systems (EWS) can provide  ...
DEWRS Project Will   integrate the existing emergency    response systems and the environmental    monitoring stations in...
Objectives Collect   data on indicators of disasters. Predict   disaster. Disseminate    warnings of impending disaster...
Motivation      Floods            in northern      Namibia                       Japan   earthquake                     ...
Problem Statement No   existing multi-disaster EWS in Namibia. There   is need for a mechanism to deliver    critical al...
Major Research QuestionHow can fuzzy case-based reasoning be used in     the development of affordable and reliable       ...
Support Research Questions   How will the risk assessment and mapping be    conducted to provide information on the disas...
Support Research Questions (contd.)   Which media will be used to communicate the alerts    and warnings to the threatene...
Literature ReviewHumanitarian Early Warning Service (HEWS) Web-based   warning service inter-agency             project ...
Literature Review (contd.)Information Technology for HumanitarianAssistance, Cooperation and Action (ITHACA) located   in...
Literature Review (contd.)Global Disaster Alert and Coordination System(GDACS) Cooperation   framework under the UN faci...
System Architecture                  HAZARD MONITORING                                         EMERGENCY DISPATCH      MET...
MethodologyDesign Phase Model   defining the critical indicators Design   of database – ER diagrams Data   structures d...
Design Phase (contd.) 15                     Thursday, 02 August 2012
Project Schedule  16               Thursday, 02 August 2012
Project Requirements Standard    personal computer Internet access Oracle 11g database Microsoft Visual Studio 2010 A...
Conclusion comprehensive    investigation in the application of AI in the development of reliable low-cost disaster early...
References   Bates, P.D., De Roo A.P.J. (2001). A simple raster-based model for flood    inundation simulation. Journal o...
References (contd.)   Maryam Golnaraghi, Ph.D. (2011), Systematic Development of Multi-    Hazard Early Warning systems, ...
The End
Upcoming SlideShare
Loading in...5
×

DEWRS Project Proposal

166

Published on

Published in: Education, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
166
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "DEWRS Project Proposal"

  1. 1. DISASTER EARLY WARNINGAND RESPONSE SYSTEM(DEWRS)Supervisor: Dr. MbaleName: Raymond MuntuumoStudent Number: 200811282
  2. 2. Content Introduction Literaturereview System architecture Methodology Project Requirements Conclusion References1 Thursday, 02 August 2012
  3. 3. Background Natural disasters have become frequent and more devastating. Early warning systems (EWS) can provide near real-time alerts about natural disasters.2 Thursday, 02 August 2012
  4. 4. DEWRS Project Will integrate the existing emergency response systems and the environmental monitoring stations into a national disaster early warning and response system. Will provide tools to facilitate response coordination.3 Thursday, 02 August 2012
  5. 5. Objectives Collect data on indicators of disasters. Predict disaster. Disseminate warnings of impending disasters in a timely manner. Provide tools to assist in coordinating response to a disaster.4 Thursday, 02 August 2012
  6. 6. Motivation  Floods in northern Namibia  Japan earthquake and tsunami 5 Thursday, 02 August 2012
  7. 7. Problem Statement No existing multi-disaster EWS in Namibia. There is need for a mechanism to deliver critical alerts to the threatened areas in time for the local authorities to take action. Such mechanism needs to be accurate, easy to maintain and accessible to non-technical personnel6 Thursday, 02 August 2012
  8. 8. Major Research QuestionHow can fuzzy case-based reasoning be used in the development of affordable and reliable disaster early warning systems? 7 Thursday, 02 August 2012
  9. 9. Support Research Questions How will the risk assessment and mapping be conducted to provide information on the disaster indicators to be monitored in the system? In what ways can concepts of neural networks be used to integrate systems with monitoring and predicting capabilities to provide timely estimates of the potential risk faced by communities? 8 Thursday, 02 August 2012
  10. 10. Support Research Questions (contd.) Which media will be used to communicate the alerts and warnings to the threatened areas in a timely manner? What response coordination and mitigation tools will be made available to the local authorities to respond to a disaster alert? 9 Thursday, 02 August 2012
  11. 11. Literature ReviewHumanitarian Early Warning Service (HEWS) Web-based warning service inter-agency project for humanitarian early warnings and forecasts for natural hazards. developedby the World Food Programme (WFP) on behalf of the IASC 10 Thursday, 02 August 2012
  12. 12. Literature Review (contd.)Information Technology for HumanitarianAssistance, Cooperation and Action (ITHACA) located in the Politecnico of Torino campus partnership with the WFP offers a web-based service provides early impact analysis, localized aerial surveys 11 Thursday, 02 August 2012
  13. 13. Literature Review (contd.)Global Disaster Alert and Coordination System(GDACS) Cooperation framework under the UN facilitates coordination and decision-making among bilateral responders and the affected country Subscription required 12 Thursday, 02 August 2012
  14. 14. System Architecture HAZARD MONITORING EMERGENCY DISPATCH MET OFFICE HYDROLOGICAL SEISMIC ENVIRONMENTAL FIRE POLICE PARAMEDICS TRANSPORT DATA PROCESSING PREDICTION/EARLY DATABASE SIMULATOR WARNING INFORMATION EXCHANGE ALERT BROADCAST/MULTICAST CENTRAL MONITORING UNIT RESPONSE UNIT CLUSTERED BROADCAST/TV PSTN COMMUNICATION NETWORK INTERNET SYSTEMS WIRELESS TRANSPORT NETWORKS NETWORKS LOCAL FIRE AUTHORITIES POLICE DISASTER GOVERNMENT PUBLIC PARAMEDICS TRANSPORT RELIEF UNIT ADMINISTRATION EDUCATION SAFETY13 Thursday, 02 August 2012
  15. 15. MethodologyDesign Phase Model defining the critical indicators Design of database – ER diagrams Data structures design – UML diagrams Design of neural networks User interface design 14 Thursday, 02 August 2012
  16. 16. Design Phase (contd.) 15 Thursday, 02 August 2012
  17. 17. Project Schedule 16 Thursday, 02 August 2012
  18. 18. Project Requirements Standard personal computer Internet access Oracle 11g database Microsoft Visual Studio 2010 Artificial Intelligence programming IDE GoldSim simulator WebMaker or Dreamweaver Microsoft Office 2010 17 Thursday, 02 August 2012
  19. 19. Conclusion comprehensive investigation in the application of AI in the development of reliable low-cost disaster early warning systems. the creation of an EWS for Namibia. insight into possible improvements in applications of artificial intelligence in developing countries. 18 Thursday, 02 August 2012
  20. 20. References Bates, P.D., De Roo A.P.J. (2001). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236: 54-77. Denis Riordan and Bjarne K Hansen (2002). A fuzzy case-based system for weather prediction. Eng. Int. Syst. 3: 139–146, CRL Publishing Ltd Government of Namibia (1998). National Disaster Plan. Humanitarian Early Warning Service (HEWS), Retrieved from http://www.hewsweb.org Information Technology for Humanitarian Assistance, Cooperation and Action (ITHACA). Retrieved from http://www.ithaca.polito.it 19 Thursday, 02 August 2012
  21. 21. References (contd.) Maryam Golnaraghi, Ph.D. (2011), Systematic Development of Multi- Hazard Early Warning systems, WIS-CAP Implementation Workshop 6- 7 April 2011, World Meteorological Organization HQ. Microsoft Research (2008). Wireless Sensor Network Provides Early Flood Detection for Underserved Countries Ministry of Environment and Tourism - African Adaptation Project Namibia (2011). AAP NAM CCA Decision Makers Training. Servaas Van Den Bosch (2011, March 29), Heaviest floods ever in Namibia, The Namibia. Retrieved from http://www.namibian.com.na 20 Thursday, 02 August 2012
  22. 22. The End
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×