The use of climatologies and Bayesian models to link observations to outcomes; an example from the Torres Strait

2014 ◽  
Vol 16 (5) ◽  
pp. 1041-1049 ◽  
Author(s):  
Scott Bainbridge ◽  
Ray Berkelmans
Keyword(s):  
Coral Bleaching ◽  
Early Warning System ◽  
Bayesian Models ◽  
Monitoring Program ◽  
Warning System ◽  
Risk Indicators ◽  
Time Data ◽  
Real Time Data ◽  
Torres Strait ◽  
Ocean Monitoring

In response to coral bleaching in the Torres Strait in 2009–10 an ocean monitoring program was established. This included a bleaching early warning system that uses real time data, climatologies and Bayesian models to deliver risk indicators linked to management outcomes.

scholarly journals Near real-time GPS applications for tsunami early warning systems

2010 ◽  
Vol 10 (2) ◽  
pp. 181-189 ◽  
Author(s):  
C. Falck ◽  
M. Ramatschi ◽  
C. Subarya ◽  
M. Bartsch ◽  
A. Merx ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Tide Gauge ◽  
Warning System ◽  
Early Warning Systems ◽  
Time Data ◽  
Essential Information ◽  
Tsunami Early Warning ◽  
Land Mass

Abstract. GPS (Global Positioning System) technology is widely used for positioning applications. Many of them have high requirements with respect to precision, reliability or fast product delivery, but usually not all at the same time as it is the case for early warning applications. The tasks for the GPS-based components within the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) are to support the determination of sea levels (measured onshore and offshore) and to detect co-seismic land mass displacements with the lowest possible latency (design goal: first reliable results after 5 min). The completed system was designed to fulfil these tasks in near real-time, rather than for scientific research requirements. The obtained data products (movements of GPS antennas) are supporting the warning process in different ways. The measurements from GPS instruments on buoys allow the earliest possible detection or confirmation of tsunami waves on the ocean. Onshore GPS measurements are made collocated with tide gauges or seismological stations and give information about co-seismic land mass movements as recorded, e.g., during the great Sumatra-Andaman earthquake of 2004 (Subarya et al., 2006). This information is important to separate tsunami-caused sea height movements from apparent sea height changes at tide gauge locations (sensor station movement) and also as additional information about earthquakes' mechanisms, as this is an essential information to predict a tsunami (Sobolev et al., 2007). This article gives an end-to-end overview of the GITEWS GPS-component system, from the GPS sensors (GPS receiver with GPS antenna and auxiliary systems, either onshore or offshore) to the early warning centre displays. We describe how the GPS sensors have been installed, how they are operated and the methods used to collect, transfer and process the GPS data in near real-time. This includes the sensor system design, the communication system layout with real-time data streaming, the data processing strategy and the final products of the GPS-based early warning system components.

scholarly journals BIG DATA ON DIGITAL LOGISTICS IN SUPPLY CHAIN RISK PERSPECTIVE

2018 ◽  
Vol 2 (1) ◽  
pp. 21-30
Author(s):  
Resista Vikaliana
Keyword(s):  
Big Data ◽  
Early Warning System ◽  
Industry 4.0 ◽  
Warning System ◽  
Digital Transformation ◽  
Risk Indicators ◽  
Decision Making Process ◽  
Supply Chain Risk ◽  
Web Based ◽  
Wide Range

In Industry 4.0, digital transformation moves quickly, flexibly and efficiently. Logistics and supply chains have transformed into web-based. Internet of things (IoT) and Big Data are important in the decision making process.  The importance of big data doesn’t revolve around how much data you have, but what you do with it. In addition to the opportunities to use big data, there are possible risks that must be anticipated. The wide range of data that can be obtained, so that in practice key risk indicators will act as an early warning system for the entity. Key risk indicators and their parameters.

scholarly journals Toward an Early Warning System for Health Issues Related to Particulate Matter Exposure in Brazil: The Feasibility of Using Global PM2.5 Concentration Forecast Products

2020 ◽  
Vol 12 (24) ◽  
pp. 4074
Author(s):  
Emmanuel Roux ◽  
Eliane Ignotti ◽  
Nelson Bègue ◽  
Hassan Bencherif ◽  
Thibault Catry ◽  
...  
Keyword(s):  
Human Health ◽  
Early Warning ◽  
Early Warning System ◽  
Viral Infections ◽  
Warning System ◽  
Risk Indicators ◽  
Population Exposure ◽  
Linear Regression Models ◽  
The South ◽  
Pm2.5 Concentration

PM2.5 severely affects human health. Remotely sensed (RS) data can be used to estimate PM2.5 concentrations and population exposure, and therefore to explain acute respiratory disorders. However, available global PM2.5 concentration forecast products derived from models assimilating RS data have not yet been exploited to generate early alerts for respiratory problems in Brazil. We investigated the feasibility of building such an early warning system. For this, PM2.5 concentrations on a 4-day horizon forecast were provided by the Copernicus Atmosphere Monitoring Service (CAMS) and compared with the number of severe acute respiratory disease (SARD) cases. Confounding effects of the meteorological conditions were considered by selecting the best linear regression models in terms of Akaike Information Criterion (AIC), with meteorological features and their two-way interactions as explanatory variables and PM2.5 concentrations and SARD cases, taken separately, as response variables. Pearson and Spearman correlation coefficients were then computed between the residuals of the models for PM2.5 concentration and SARD cases. The results show a clear tendency to positive correlations between PM2.5 and SARD in all regions of Brazil but the South one, with Spearman’s correlation coefficient reaching 0.52 (p < 0.01). Positive significant correlations were also found in the South region by previously correcting the effects of viral infections on the SARD case dynamics. The possibility of using CAMS global PM2.5 concentration forecast products to build an early warning system for pollution-related effects on human health in Brazil was therefore established. Further investigations should be performed to determine alert threshold(s) and possibly build combined risk indicators involving other risk factors for human respiratory diseases. This is of particular interest in Brazil, where the COVID-19 pandemic and biomass burning are occurring concomitantly, to help minimize the effects of PM emissions and implement mitigation actions within populations.

scholarly journals Real-time earthquake monitoring for tsunami warning in the Indian Ocean and beyond

2010 ◽  
Vol 10 (12) ◽  
pp. 2611-2622 ◽  
Author(s):  
W. Hanka ◽  
J. Saul ◽  
B. Weber ◽  
J. Becker ◽  
P. Harjadi ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Real Time ◽  
Monitoring System ◽  
Warning System ◽  
Seismic Network ◽  
Tsunami Warning ◽  
Time Data ◽  
Real Time Data ◽  
Earthquake Monitoring ◽  
The Indian Ocean

Abstract. The Mw = 9.3 Sumatra earthquake of 26 December 2004 generated a tsunami that affected the entire Indian Ocean region and caused approximately 230 000 fatalities. In the response to this tragedy the German government funded the German Indonesian Tsunami Early Warning System (GITEWS) Project. The task of the GEOFON group of GFZ Potsdam was to develop and implement the seismological component. In this paper we describe the concept of the GITEWS earthquake monitoring system and report on its present status. The major challenge for earthquake monitoring within a tsunami warning system is to deliver rapid information about location, depth, size and possibly other source parameters. This is particularly true for coast lines adjacent to the potential source areas such as the Sunda trench where these parameters are required within a few minutes after the event in order to be able to warn the population before the potential tsunami hits the neighbouring coastal areas. Therefore, the key for a seismic monitoring system with short warning times adequate for Indonesia is a dense real-time seismic network across Indonesia with densifications close to the Sunda trench. A substantial number of supplementary stations in other Indian Ocean rim countries are added to strengthen the teleseismic monitoring capabilities. The installation of the new GITEWS seismic network – consisting of 31 combined broadband and strong motion stations – out of these 21 stations in Indonesia – is almost completed. The real-time data collection is using a private VSAT communication system with hubs in Jakarta and Vienna. In addition, all available seismic real-time data from the other seismic networks in Indonesia and other Indian Ocean rim countries are acquired also directly by VSAT or by Internet at the Indonesian Tsunami Warning Centre in Jakarta and the resulting "virtual" network of more than 230 stations can jointly be used for seismic data processing. The seismological processing software as part of the GITEWS tsunami control centre is an enhanced version of the widely used SeisComP software and the well established GEOFON earthquake information system operated at GFZ in Potsdam (http://geofon.gfz-potsdam.de/db/eqinfo.php). This recently developed software package (SeisComP3) is reliable, fast and can provide fully automatic earthquake location and magnitude estimates. It uses innovative visualization tools, offers the possibility for manual correction and re-calculation, flexible configuration, support for distributed processing and data and parameter exchange with external monitoring systems. SeisComP3 is not only used for tsunami warning in Indonesia but also in most other Tsunami Warning Centres in the Indian Ocean and Euro-Med regions and in many seismic services worldwide.

scholarly journals DEVELOPMENT OF A SENSOR-BASED DIKE MONITORING SYSTEM FOR COASTAL DIKES

2017 ◽  
pp. 35 ◽  
Author(s):  
Verena Krebs ◽  
Till Quadflieg ◽  
Christian Grimm ◽  
Max Schwab ◽  
Holger Schüttrumpf
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Decision Makers ◽  
Coastal Protection ◽  
Disaster Prevention ◽  
Wave Load ◽  
Time Data ◽  
Web Based ◽  
Interdisciplinary Research Project

Sea and estuarine dikes are one of the most important structures when it comes to coastal protection in Germany. Therefore, the implementation of sea dike monitoring systems is of great value to improve the reliability of flood protection. The interdisciplinary research project, EarlyDike, attempts to develop an innovative early warning system, which works not only based on water level forecasts, but also considers wave load, improved storm surge monitoring, and inner dike conditions. The implementation of a web-based Geo-Portal, which integrates the information generated by sensors and numerical simulations, enables decision makers to access reliable real-time data. Thereby, the intended sensor- and risk-based early warning system allows in time warnings and improves present disaster prevention and management. Objective of this paper is to depict the integration of sensor-based dike monitoring within the project.

scholarly journals PENGARUH EDUKASI EARLY WARNING SYSTEM (EWS) TERHADAP RESPON TIME PERAWAT DI IGD BRSUD KABUPATEN TABANAN

2021 ◽  
Vol 16 (2) ◽  
pp. 358-363
Author(s):  
Ni Made Budiari ◽  
I Made Dwie Pradnya Susila ◽  
Gede Arya Bagus Arisudhana
Keyword(s):  
Response Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Sampling Technique ◽  
Fast Response ◽  
Bivariate Analysis ◽  
Time Data ◽  
Process Indicator ◽  
Computerized System

Emergency patient care is a service that requires immediate service, namely fast, precise, and accurate to prevent death or disability. One of the indicators of service quality is in the form of response time, which is a process indicator to achieve the outcome indicator, namely survival. To achieve a fast response time, a systematic approach system is needed in dealing with patients who experience emergencies, one of which is by using the Early Warning System (EWS). This study aims to determine the effect of early warning system education on the response time of nurses in Emergency Room Tabanan Hospital. This study used an experimental method with a pre-experimental design (one-group pre-test-posttest design) involving 39 samples selected by total sampling technique. Data collection in providing EWS education is in the form of modules, and the research material is in the form of a clock used to measure the response time. Data analysis uses a computerized system with univariate and bivariate analysis. This study showed that the response time for nurses before the early warning system education was fast, namely 15 (39.5%). Most of the nurses' response time after the early warning system education was 26 (66.7%). The results of this study can be concluded that there is an effect of early warning system nurse education on the response time of nurses with a significance value (p) of 0.000.

scholarly journals Prototipo de un sistema para monitoreo de niveles de cauces

2019 ◽  
pp. 30-39
Author(s):  
Omar Espinosa-Guerra ◽  
Dalia Rosario Hernández-López ◽  
Hugo René Lárraga-Altamirano ◽  
Ana María Piedad-Rubio
Keyword(s):  
Data Transmission ◽  
Early Warning System ◽  
Warning System ◽  
Monitoring Network ◽  
Continuous Operation ◽  
Controlled Environment ◽  
Main Function ◽  
Functional Tests ◽  
Wireless Technology ◽  
Time Data

It’s presented the prototype of a monitoring system to measure the increase in the level of course of rivers for the timely prevention before a contingency of flooding. Are used hardware and software open platforms, which allow the integration and exchange of sensor modules to increase the functionality and scope, they also employ standard communication protocols that facilitate the scalability and reconfigurability of the nodes. It’s considered a solar system cells to supply energy ensuring continuous operation, also includes a real-time data transmission using wireless technology. As an Early warning System its main function is to reduce or prevent the damage caused by threats of floods. The Huasteca area has a large amount of rivers, which tend to be near populated areas or settlements, in times of rain, the majority are likely to grow suddenly and exponentially. The functional tests of the prototype were conducted in a controlled environment, identifying the appropriate process for the collection, reading and transfer of data, as well as their interpretation. The technology presented is feasible for their deployment, it allows the integration of more sensors that could form a monitoring network of larger scope.

Geo-Hazards Monitoring and Early Warning System Based on JSP Technology

2013 ◽  
Vol 421 ◽  
pp. 838-843
Author(s):  
Feng Ling Peng ◽  
Hong Hui Wang ◽  
Xian Guo Tuo ◽  
Jian Hua Pu ◽  
Jun Ren ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Traditional Method ◽  
Warning System ◽  
Time Data ◽  
Implementation Method ◽  
Jsp Technology ◽  
Web Platform ◽  
Different Levels ◽  
Monitoring And Early Warning

This paper proposes an implementation method and technique of Geo-hazards monitoring and early warning system. By analyzing the deficiencies of traditional method about early warning system, we propose a web platform structure based on JSP file to design and achieve an early warning system which integrates real-time data receiving, processing, mapping, managing and automatic alarm .The system uses tomcat as web server, and the platform structure is divided into several modules which are designed as owning scientific and rigorous algorithm respectively. After the actual tests the system not only can display data diversely, but also can send SMS to different people for early warning on different levels according to the changes of the data received by SMS cat. The results prove that the system has good stability, reliability, scalability and maintainability.

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