Disaster early warning and risk management

An integrated and interdisciplinary approach to Early Warning and Risk Management is described in this paper as well as the general technical implementation of Early Warning and Risk Management Systems. Based on this systems approach, a concept has been developed for the design of an Integrated System for Coastal Protection. In addition to this, as a prototype implementation of a modern environmental monitoring and surveillance system, a system for the Remote Monitoring of Nuclear Power Plants is presented here in more detail, including a Web Portal to allow for public access. The concept, the architectural design and the user interface of Early Warning and Risk Management Systems have to meet high demands. It is shown that only a close cooperation of all related disciplines and an integrated systems approach is able to fulfil the catalogue of requirements and to provide a suitable solution for environmental monitoring and surveillance, for early warning and for emergency management.

Download Full-text

An Integrated Systems Approach for Early Warning and Risk Management Systems

International Journal of Information Technologies and Systems Approach ◽

10.4018/jitsa.2010070104 ◽

2010 ◽

Vol 3 (2) ◽

pp. 46-56 ◽

Cited By ~ 2

Author(s):

Walter Hürster ◽

Thomas Wilbois ◽

Fernando Chaves

Keyword(s):

Risk Management ◽

Environmental Monitoring ◽

Early Warning ◽

Power Plants ◽

Systems Approach ◽

Integrated System ◽

Integrated Systems ◽

Management Systems ◽

Coastal Protection ◽

Monitoring And Surveillance

An integrated and interdisciplinary approach to Early Warning and Risk Management is described in this paper as well as the general technical implementation of Early Warning and Risk Management Systems. Based on this systems approach, a concept has been developed for the design of an Integrated System for Coastal Protection. In addition to this, as a prototype implementation of a modern environmental monitoring and surveillance system, a system for the Remote Monitoring of Nuclear Power Plants is presented here in more detail, including a Web Portal to allow for public access. The concept, the architectural design and the user interface of Early Warning and Risk Management Systems have to meet high demands. It is shown that only a close cooperation of all related disciplines and an integrated systems approach is able to fulfil the catalogue of requirements and to provide a suitable solution for environmental monitoring and surveillance, for early warning and for emergency management.

Download Full-text

Early Warning System for SMEs as a Financial Risk Detector

Data Mining Applications for Empowering Knowledge Societies ◽

10.4018/978-1-59904-657-0.ch012 ◽

2009 ◽

pp. 220-238 ◽

Cited By ~ 8

Author(s):

Ali Serhan Koyuncugil

Keyword(s):

Data Mining ◽

Risk Management ◽

Early Warning ◽

Financial Management ◽

Early Warning System ◽

Quantitative Data ◽

Financial Risk ◽

Warning System ◽

Theoretical Background ◽

Effect Level

This chapter introduces an early warning system for SMEs (SEWS) as a financial risk detector which is based on data mining. In this study, the objective is to compose a system in which qualitative and quantitative data about the requirements of enterprises are taken into consideration, during the development of an early warning system. Furthermore, during the formation of system; an easy to understand, easy to interpret and easy to apply utilitarian model that is far from the requirement of theoretical background is targeted by the discovery of the implicit relationships between the data and the identification of effect level of every factor. Using the system, SME managers could easily reach financial management, risk management knowledge without any prior knowledge and expertise. In other words, experts share their knowledge with the help of data mining based and automated EWS.

Download Full-text

Black-Necked Swans and Active Risk Management

Surveillance Technologies and Early Warning Systems ◽

10.4018/978-1-61692-865-0.ch004 ◽

2011 ◽

pp. 64-74

Author(s):

Tze Leung Lai ◽

Bo Shen

Keyword(s):

Risk Management ◽

Early Warning ◽

Detection Systems ◽

Black Swans ◽

Recent Developments ◽

Close Relatives

This chapter gives a review of recent developments in sequential surveillance and modeling of default probabilities of corporate and retail loans, and relates them to the development of early warning or quick detection systems for managing the risk associated with the so-called “black swans” or their close relatives, the black-necked swans.

Download Full-text

Early warning system on extreme weather events for disaster risk reduction

Revista Facultad de Ingeniería Universidad de Antioquia ◽

10.17533/udea.redin.20190628 ◽

2019 ◽

pp. 80-87

Author(s):

Jacipt Alexander Ramón-Valencia ◽

Jordi Rafael Palacios-González ◽

Germán Rircardo Santos-Granados ◽

Jarol Derley Ramón-Valencia

Keyword(s):

Risk Management ◽

Risk Reduction ◽

Early Warning ◽

Early Warning System ◽

Disaster Risk Reduction ◽

Warning System ◽

Disaster Risk ◽

Extreme Weather ◽

Extreme Weather Events ◽

Weather Events

The objective of this research was to propose a strategy based on the design and implementation of an early warning system (EWS) for extreme weather events. This project had the following phases: training for municipal and regional actors, preliminary technical diagnosis of the study areas, monitoring network, and the weather forecasts using numerical models WRF and GFS. This EWS is the result of the Macro-project EWS for Climate Events in the basins of the Pamplonita River and Zulia in the North of Santander (SATC), executed by the University of Pamplona and financed by the National Risk Management Unit (UNGRD) and the German Cooperation Agency (GIZ). The research concluded that the application of a disaster risk reduction strategy through an EWS for extreme weather events is an important tool and instrument for the planning of higher risk management because it helps anticipate disasters and consequently preserve lives.

Download Full-text

The Value of Modified Early Warning Score (MEWS) in Surgical In-Patients: A Prospective Observational Study

Annals of The Royal College of Surgeons of England ◽

10.1308/003588406x130615 ◽

2006 ◽

Vol 88 (6) ◽

pp. 571-575 ◽

Cited By ~ 171

Author(s):

J Gardner-Thorpe ◽

N Love ◽

J Wrightson ◽

S Walsh ◽

N Keeling

Keyword(s):

Risk Management ◽

Observational Study ◽

Critically Ill ◽

Early Warning ◽

Critically Ill Patients ◽

Prospective Observational Study ◽

Early Warning Score ◽

Management Tool ◽

Quality And Safety ◽

Surgical Ward

INTRODUCTION The Modified Early Warning Score (MEWS) is a simple, physiological score that may allow improvement in the quality and safety of management provided to surgical ward patients. The primary purpose is to prevent delay in intervention or transfer of critically ill patients. PATIENTS AND METHODS A total of 334 consecutive ward patients were prospectively studied. MEWS were recorded on all patients and the primary end-point was transfer to ITU or HDU. RESULTS Fifty-seven (17%) ward patients triggered the call-out algorithm by scoring four or more on MEWS. Emergency patients were more likely to trigger the system than elective patients. Sixteen (5% of the total) patients were admitted to the ITU or HDU. MEWS with a threshold of four or more was 75% sensitive and 83% specific for patients who required transfer to ITU or HDU. CONCLUSIONS The MEWS in association with a call-out algorithm is a useful and appropriate risk-management tool that should be implemented for all surgical in-patients.

Download Full-text