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DISASTER EARLY WARNING &
RESPONSE SYSTEM
Supervisor: Dr. J. Mbale
Name: Raymond Muntuumo
Student Number: 200811282
Thursday, 02 August 2012 1
Thursday, 02 August 2012
Content
Introduction
Literature review
System architecture
Methodology
Project Requirements
Conclusion
References
2
DEWRS Project
Provide near real-time alerts about natural
disasters.
Will integrate the existing emergency response
systems and the environmental monitoring
stations into a national disaster early warning and
response system.
Thursday, 02 August 2012 3
Objectives
Collect data on indicators of disasters.
Use collected data to predict disaster.
Disseminate warnings of impending disasters in a
timely manner.
Provide tools to assist in coordinating response to a
disaster.
Thursday, 02 August 2012 4
Problem Statement
No existing multi-disaster EWS in Namibia.
Need for a mechanism to deliver critical warnings
of impending disaster
Needs to be accurate, easy to maintain and
accessible to non-technical personnel
Thursday, 02 August 2012 5
Major Research Question
How can search algorithms be used to design reliable
low-cost Early Warning Systems?
Thursday, 02 August 2012 6
Literature Review
Humanitarian Early Warning Service (HEWS)
Information Technology for Humanitarian
Assistance, Cooperation and Action (ITHACA)
Global Disaster Alert and Coordination
System (GDACS)
Thursday, 02 August 2012 7
Requirements
Database Design
User Interface
Coding & Testing
Thursday, 02 August 2012
Methodology
8
INTERNET PSTN
WIRELESS NETWORKS
CLUSTERED COMMUNICATION
SYSTEMS
BROADCAST/TV NETWORK
TRANSPORT NETWORKS
FIRE
POLICE PARAMEDICS DISASTER RELIEF UNIT
PUBLIC EDUCATION TRANSPORT
SAFETY
GOVERNMENT ADMINISTRATION
LOCAL AUTHORITIES
ALERT BROADCAST/MULTICAST CENTRAL MONITORING UNIT RESPONSE UNIT
INFORMATION EXCHANGE
DATABASE PREDICTION/EARLY WARNING SIMULATOR
DATA PROCESSING
MET OFFICE HYDROLOGICAL SEISMIC ENVIRONMENTAL
HAZARD MONITORING
FIRE POLICE PARAMEDICS TRANSPORT
EMERGENCY DISPATCH
Proposed System Architecture
Thursday, 02 August 2012 9
Implemented Architecture
Thursday, 02 August 2012
DATABASE ALERT/EARLY WARNING
DATA PROCESSING
MET OFFICE HYDROLOGICAL
HAZARD MONITORING
FIRE POLICE
EMERGENCY DISPATCH
10
Workflow
Thursday, 02 August 2012 11
Has
disaster
occurred?
START
Read data from
monitoring stations
END
Deploy or test
response plan
Raise and send
disaster alert!
Raise and send
warning alert
Analyze indicators in
relation to history
Is disaster
likely?
Database
Are indicators
above normal
levels?
Database Design
Thursday, 02 August 2012 12
Thursday, 02 August 2012 13
Dataset
User Interface
Thursday, 02 August 2012 14
Development Environment
Standard personal computer
.NET Framework 4.0
Oracle 10g database Express Edition
Microsoft Visual Studio 2010
Visual C#
Microsoft Office 2010
Thursday, 02 August 2012 15
Thursday, 02 August 2012
How the DERWS works
Monitoring stations
Records
16
Thursday, 02 August 2012
How the DERWS works – contd.
User Management
17
Thursday, 02 August 2012
How the DERWS works –contd.
Alerts
18
Limitations
Unavailability of a large historic database
Changing developing environment
Suffered a major setback with .NET Framework
changes on developer’s computer in the weeks
leading up to presentation
Thursday, 02 August 2012 19
Conclusion
DERWS demonstrated a very affordable and viable
approach to developing EWSs
The project re-emphasized the need of integrating
single disaster EWSs into a multiple disaster EWS
Drew attention to how AI can be applied as a set of
fast queries on large databases
Re-enforced the core concept of AI
Simulating learning
Thursday, 02 August 2012 20
Future works
Deploy faster scripts in place of queries
Integrate with broadcasting media for quick alert
dissemination
Web implementation (distributed systems are the
future)
Integrate with satellite weather monitoring systems
to get real time alerts and warning
Build on the DEWRS with a versatile disaster
simulation and response coordination package
Thursday, 02 August 2012 21
References
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
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
Thursday, 02 August 2012 22
End