A Study on the Public-private Governance on Risk Management for the 4th Industrial Revolution - Focusing on the Role of Private Experts in the Early Warning System -

2018 ◽  
Vol 14 (1) ◽  
pp. 57-75
Author(s):  
Jai Ho Oh ◽  
Keyword(s):  
Risk Management ◽  
Early Warning ◽  
Early Warning System ◽  
Industrial Revolution ◽  
Warning System ◽  
Private Governance ◽  
The Public

scholarly journals Assessment of the warning system against floods on a rural area: the case of the lower Siret River (Romania)

2013 ◽  
Vol 13 (2) ◽  
pp. 409-416 ◽  
Author(s):  
F. Salit ◽  
L. Zaharia ◽  
G. Beltrando
Keyword(s):  
Risk Management ◽  
Rural Area ◽  
Early Warning ◽  
Flood Risk ◽  
Early Warning System ◽  
Warning System ◽  
Flood Risk Management ◽  
Event Tree ◽  
The Public ◽  
Risk Education

Abstract. The development of non-structural measures such as an early warning system, across the Europe, in flood risk management, requires a better understanding of the public involved and of the territory threatened. This paper aims to conduct an assessment of early warning and information to people with an analysis of the population's behaviour, presented in a form of an event tree. The objective is to understand the strengths and weaknesses of the warning system during a deadly flood in the lower Siret River (Romania) in 2005 and to demonstrate that each warning system has to be adapted to the territory in which it is effective. The behavioural model aims to determine to what extent the warning system can be improved but also to suggest ways to adapt risk education to the study area.

scholarly journals KELAYAKAN SISTEM EVAKUASI KAWASAN RAWAN BENCANA LETUSAN GUNUNG MERAPI DI KABUPATEN SLEMAN

Arsitektura ◽  
2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Dicky Setya Adi W ◽  
Kusumastuti Kusumastuti ◽  
Isti Andini
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Quantitative Method ◽  
Warning System ◽  
Average Score ◽  
Qualitative And Quantitative ◽  
Meeting Point ◽  
Evacuation Route ◽  
Evacuation System

<em>Evacuation system in Mount Merapi eruption area consist of evacuation component, such early warning system, meeting point, evacuation lane, evacuation route, barrack, communication and transportation. The role of the goverment is to give services for refugees who live in scenario evacuation area. But there are some constrains, for example damaged road, evacuation lane crossover the bridge, people don’t heard the early warning system and high density of barracks. Based on those phenomenons, this research objected is to measure the feasibility of Mount Merapi evacuation system in Sleman district by using qualitative and quantitative method. The results of this research, some of evacuation systems don’t have perfect score. Early warning system has score 49%,  meeting point score 96,2%, evacuation lane 88,7%, evacuation route 100%, barracks 60,7%, transportation and communication 51,8%. From that components, the average score is 75% which means the system of evacuation in Mount Merapi Eruption Area not feasible yet.</em>

Early Warning System for SMEs as a Financial Risk Detector

2009 ◽  
pp. 220-238 ◽  
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.

scholarly journals Early warning system on extreme weather events for disaster risk reduction

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.

Modeling of Information Flow for Early Warning in Mount Merapi Area, Indonesia

2016 ◽  
Vol 11 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Leslie Jamie Cobar ◽  
◽  
Djoko Legono ◽  
Kuniaki Miyamoto ◽  
Keyword(s):  
Information Flow ◽  
Early Warning ◽  
Early Warning System ◽  
Information Transfer ◽  
Data Transfer ◽  
Warning System ◽  
Volcanic Eruptions ◽  
Flow Network ◽  
The Public ◽  
Flow Through

Indonesia’s Mount Merapi is one of the world’s most active, dangerous volcanoes. Its 2010 eruption – the largest following the 20th century – and succeeding 2011 lahar events killed 389 persons and injured and displaced many more. One way to mitigate a disaster’s impact is the provision of reliable information to the public through a well-established early warning system (EWS). A well-managed information flow network is the key to delivering early warning information, however, there is a lack of understanding on the information transfer down to the citizens. In addition, implementing the 2007 disaster management law may have affected Merapi’s EWS. This study reinvestigates Merapi’s EWS information flow through the construction of an information flow network. A single information flow network was difficult to construct due to the inconsistency of structures per district. Different networks had to be constructed for volcanic eruptions and lahars in each district. Inconsistencies were also found in the roles of the agencies that determine when evacuation orders would be issued. The system also had data transfer gaps and vulnerabilities such as redundancies, mistransfers and bottlenecks. Its use of forecasting information as a basis for decision-making must be reviewed for lahar information flow networks. Improving Merapi’s EWS must involve handling these issues.

A Patent Application for NEXTGEN Flood Early Warning System

2021 ◽  
Vol 5 (GROUP) ◽  
pp. 1-16
Author(s):  
Robert Soden ◽  
Nicolas James LaLone ◽  
Dharma Dailey
Keyword(s):  
Crisis Management ◽  
Early Warning ◽  
Early Warning System ◽  
Patent Application ◽  
Warning System ◽  
Warning Systems ◽  
Communication Tool ◽  
Crisis Informatics ◽  
Design Fiction

This design fiction re-imagines an important informational element of the flood early warning system in order to unpack some of the questionable assumptions that society makes about disaster. In presenting an updated, ironic, vision of an alternative system, we highlight some of the ways that received ideas about the root causes of disaster, who is responsible for public safety, and the role of private sector innovation, are so embedded in the design of technologies used in crisis management that they have become taken for granted. This work demonstrates the potential for design fiction to serve as a tool in the evaluation and critique of safety-critical information systems and as a communication tool for conveying the complex findings of disaster research. It also points to new avenues of exploration for crisis informatics work on public warning systems.

scholarly journals The Early Warning System: how frontline evidence helps us understand the UK’s social security response to COVID-19

2021 ◽  
Author(s):  
Katie Pybus ◽  
Geoff Page ◽  
Lynsey Dalton ◽  
Ruth Patrick
Keyword(s):  
Social Security ◽  
Policy Change ◽  
Low Income ◽  
Early Warning ◽  
Early Warning System ◽  
Child Poverty ◽  
Warning System ◽  
Security Issues ◽  
The Social

This article reports on the Child Poverty Action Group Early Warning System (EWS), a database of case studies representing social security issues reported directly by frontline benefits advice workers and benefit claimants. It outlines what data from the EWS can tell us about how the social security system is functioning and how it has responded during the pandemic. It further details how insights from the EWS can be used by researchers and policymakers seeking to understand the role of social security in supporting families living on a low income and in advocating for short- and longer-term policy change.

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