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DISASTER EARLY WARNING & RESPONSE SYSTEM Supervisor: Dr. J. Mbale Name: Raymond Muntuumo Student Number: 200811282 Thursday, 02 August 2012 1

DEWRS Project Report

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Page 1: DEWRS Project Report

DISASTER EARLY WARNING &

RESPONSE SYSTEM

Supervisor: Dr. J. Mbale

Name: Raymond Muntuumo

Student Number: 200811282

Thursday, 02 August 2012 1

Page 2: DEWRS Project Report

Thursday, 02 August 2012

Content

Introduction

Literature review

System architecture

Methodology

Project Requirements

Conclusion

References

2

Page 3: DEWRS Project Report

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.

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Page 4: DEWRS Project Report

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.

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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

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Major Research Question

How can search algorithms be used to design reliable

low-cost Early Warning Systems?

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Literature Review

Humanitarian Early Warning Service (HEWS)

Information Technology for Humanitarian

Assistance, Cooperation and Action (ITHACA)

Global Disaster Alert and Coordination

System (GDACS)

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Page 8: DEWRS Project Report

Requirements

Database Design

User Interface

Coding & Testing

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Methodology

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Page 9: DEWRS Project Report

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

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Page 10: DEWRS Project Report

Implemented Architecture

Thursday, 02 August 2012

DATABASE ALERT/EARLY WARNING

DATA PROCESSING

MET OFFICE HYDROLOGICAL

HAZARD MONITORING

FIRE POLICE

EMERGENCY DISPATCH

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Page 11: DEWRS Project Report

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?

Page 12: DEWRS Project Report

Database Design

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Page 13: DEWRS Project Report

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Dataset

Page 14: DEWRS Project Report

User Interface

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Page 15: DEWRS Project Report

Development Environment

Standard personal computer

.NET Framework 4.0

Oracle 10g database Express Edition

Microsoft Visual Studio 2010

Visual C#

Microsoft Office 2010

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How the DERWS works

Monitoring stations

Records

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Thursday, 02 August 2012

How the DERWS works – contd.

User Management

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Thursday, 02 August 2012

How the DERWS works –contd.

Alerts

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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

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Page 20: DEWRS Project Report

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

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Page 21: DEWRS Project Report

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

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Page 22: DEWRS Project Report

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

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End