Evaluation of NEAMWave12 and discussion on NEAMWave14
ICG/NEAMTWS-X, Rome, Italy, November 19-21, 2013
Event: http://www.ioc-unesco.org/index.php?option=com_oe&task=viewEventRecord&eventID=1376
Related paper: http://www.ioc-unesco.org/index.php?option=com_oe&task=viewDocumentRecord&docID=12084
Implementation and integration of GPU-accelerated easyWave for instant tsunam...Martin Hammitzsch
An alternative way to quickly access simulated tsunami wave propagations in early warning systems based on the actual earthquake parameters is the on-demand computation with feasible algorithms, high performance hardware, and optimized code. Thus one simulation, or several simulations with varying granularity, covering several hours of tsunami wave propagation, and tailored to the actual situation can be computed within seconds. Since the main uncertainty in early warning is originated from the source parameters, furthermore, the on-demand computation allows fast re-computation in case of updated parameters.
Mathematical Modelling for Tsunami Early Warning Systems, Malaga, April 9-11, 2014
https://edanya.uma.es/tsumamos2014/
http://youtu.be/6xFJZzWNi7o
The Seven Main Challenges of an Early Warning System Architecturestreamspotter
J. Moßgraber, F. Chaves, S. Middleton, Z. Zlatev, and R. Tao on "The Seven Main Challenges of an Early Warning System Architecture" at ISCRAM 2013 in Baden-Baden.
10th International Conference on Information Systems for Crisis Response and Management
12-15 May 2013, Baden-Baden, Germany
TSUNAMI EARLY WARNING SYSTEM ALONG THE GUJARAT COAST, INDIAIAEME Publication
The great Sumatra earthquake (Mw 9.3) of 26th December, 2004, was rated as the world’s second largest recorded earthquake. The tsunami was considered as one of the deadliest natural hazards in the history, killing over 225,000 people in fourteen countries. In response to this disaster, the government of India took up the task of establishing an Early Warning System for Tsunamis. The Makran coast is extremely vulnerable to tsunamis and earthquakes due to the presence of three very active tectonic plates namely, the Arabian, Eurasian and Indian plates. On 28 November 1945 at 21:56 UTC, a massive Makran earthquake generated a destructive tsunami in the Northern Arabian Sea and the Indian Ocean. The tsunami was responsible for loss of life and great destruction along the coasts of Pakistan, Iran, India and Oman. In this paper NAMI-DANCE numerical model has been used to simulate 1945 Makran tsunamigenic source.
TSUNAMI EMERGENCY RESPONSE SYSTEM USING GEO-INFORMATION TECHNOLOGY ALONG THE ...IAEME Publication
The Makran coast is extremely vulnerable to tsunamis and earthquakes due to the presence of three very active tectonic plates namely, the Arabian, Eurasian and Indian plates. On 28 November 1945 at 21:56 UTC, a massive Makran earthquake generated a destructive tsunami in the Northern Arabian Sea and the Indian Ocean. The tsunami was responsible for loss of life and great destruction along the coasts of Pakistan, Iran, India and Oman. In this paper tsunami early response system created using classification of tsunami susceptibility along the western coast of India. Based on the coastal topographical features of selected part of the western India, we have prepared regions susceptible to flooding in case of a mega-tsunami. Geo-information techniques have proven their usefulness for the purposes of early warning and emergency response.
Implementation and integration of GPU-accelerated easyWave for instant tsunam...Martin Hammitzsch
An alternative way to quickly access simulated tsunami wave propagations in early warning systems based on the actual earthquake parameters is the on-demand computation with feasible algorithms, high performance hardware, and optimized code. Thus one simulation, or several simulations with varying granularity, covering several hours of tsunami wave propagation, and tailored to the actual situation can be computed within seconds. Since the main uncertainty in early warning is originated from the source parameters, furthermore, the on-demand computation allows fast re-computation in case of updated parameters.
Mathematical Modelling for Tsunami Early Warning Systems, Malaga, April 9-11, 2014
https://edanya.uma.es/tsumamos2014/
http://youtu.be/6xFJZzWNi7o
The Seven Main Challenges of an Early Warning System Architecturestreamspotter
J. Moßgraber, F. Chaves, S. Middleton, Z. Zlatev, and R. Tao on "The Seven Main Challenges of an Early Warning System Architecture" at ISCRAM 2013 in Baden-Baden.
10th International Conference on Information Systems for Crisis Response and Management
12-15 May 2013, Baden-Baden, Germany
TSUNAMI EARLY WARNING SYSTEM ALONG THE GUJARAT COAST, INDIAIAEME Publication
The great Sumatra earthquake (Mw 9.3) of 26th December, 2004, was rated as the world’s second largest recorded earthquake. The tsunami was considered as one of the deadliest natural hazards in the history, killing over 225,000 people in fourteen countries. In response to this disaster, the government of India took up the task of establishing an Early Warning System for Tsunamis. The Makran coast is extremely vulnerable to tsunamis and earthquakes due to the presence of three very active tectonic plates namely, the Arabian, Eurasian and Indian plates. On 28 November 1945 at 21:56 UTC, a massive Makran earthquake generated a destructive tsunami in the Northern Arabian Sea and the Indian Ocean. The tsunami was responsible for loss of life and great destruction along the coasts of Pakistan, Iran, India and Oman. In this paper NAMI-DANCE numerical model has been used to simulate 1945 Makran tsunamigenic source.
TSUNAMI EMERGENCY RESPONSE SYSTEM USING GEO-INFORMATION TECHNOLOGY ALONG THE ...IAEME Publication
The Makran coast is extremely vulnerable to tsunamis and earthquakes due to the presence of three very active tectonic plates namely, the Arabian, Eurasian and Indian plates. On 28 November 1945 at 21:56 UTC, a massive Makran earthquake generated a destructive tsunami in the Northern Arabian Sea and the Indian Ocean. The tsunami was responsible for loss of life and great destruction along the coasts of Pakistan, Iran, India and Oman. In this paper tsunami early response system created using classification of tsunami susceptibility along the western coast of India. Based on the coastal topographical features of selected part of the western India, we have prepared regions susceptible to flooding in case of a mega-tsunami. Geo-information techniques have proven their usefulness for the purposes of early warning and emergency response.
The Evolution of Disaster Early Warning Systems in the TRIDEC Project Peter Löwe
The TRIDEC project (Collaborative, Complex, and Critical Decision Processes in Evolving Crises) focuses on real-time intelligent information management in the Earth management domain and its long-term applications. It is funded under the European Union’s seventh Framework Programme (FP7). The TRIDEC software framework is applied in two application environments, which include industrial subsurface drilling (ISD) and natural crisis management (NCM).
For each domain, three consecutive demonstrators with extended capabilities are developed and field-tested during the projects lifespan. This article focuses on the technical advances achieved by the light-, mid- and heavyweight NCM demonstrators for Tsunami Early Warning.
Early warning System Disaster ManagementVraj Pandya
Description on early warning technologies in Earth quake, flood cyclone and various other characteristics are provided here, it would be quite beneficial for you people to use it. there is no simple copy paste, its really amazing and useful
The Evolution of Disaster Early Warning Systems in the TRIDEC Project Peter Löwe
The TRIDEC project (Collaborative, Complex, and Critical Decision Processes in Evolving Crises) focuses on real-time intelligent information management in the Earth management domain and its long-term applications. It is funded under the European Union’s seventh Framework Programme (FP7). The TRIDEC software framework is applied in two application environments, which include industrial subsurface drilling (ISD) and natural crisis management (NCM).
For each domain, three consecutive demonstrators with extended capabilities are developed and field-tested during the projects lifespan. This article focuses on the technical advances achieved by the light-, mid- and heavyweight NCM demonstrators for Tsunami Early Warning.
Early warning System Disaster ManagementVraj Pandya
Description on early warning technologies in Earth quake, flood cyclone and various other characteristics are provided here, it would be quite beneficial for you people to use it. there is no simple copy paste, its really amazing and useful
Security and Defense – EU Space Week 2018
SATCEN and the Copernicus Service for Support to External Action, by Denis Bruckert, Head of Copernicus, EU Satellite Centre (SatCen)
Web-based, GPU-accelerated, Geospatial Platform for Real-time Monitoring, Hig...Martin Hammitzsch
In times of cloud computing and ubiquitous computing the use of concepts and paradigms, introduced by continuously evolving approaches in information and communications technology (ICT), have to be considered even for early warning and mitigation systems . Based on the experiences and the knowledge gained in three research projects new technologies are exploited to implement a cloud-based and web-based platform to open up new prospects for monitorin, analysis, and early warning.
The platform, named 'TRIDEC Cloud', merges several complementary external and in-house cloud-based services into one platform for automated background computation with graphics processing units (GPU), for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment. The platform is meant for researchers around the world to make use of cloud-based GPU computation, to analyze tsunamigenic events, and react upon the computed situation picture with a web-based GUI in a web browser at remote sites.
Providing warnings and alerts to citizens before an impending disaster in a timely manner is a key objective that is shared by many stakeholders. In this session experts in the area provided an update on the very latest technology and practices that are being used all over the world.
"EGNOS and Galileo: towards an Integrated European PNT Infrastructure", presentation at the International Workshop on "GNSS technologies advances in a multi-constellation framework“, SOGEI, Roma, 26 September 2014
My presentation "Global Navigation Satellite Systems and/or Multi-sensor Fusion Platform? A Look into the Future of Positioning, Navigation and Timing" at the 20th Ka-Band and Broadband Communications, Navigation and Earth Observation Conference, Vietri (Italy), 3-5 October 2014.
The Copernicus programme (REGULATION (EU) No 377/2014) is a cornerstone of the European Union´ efforts:
To monitor the Earth, its environment and ecosystems
To ensure its citizens are prepared and protected for crises, security risks and natural or man-made disasters
Copernicus as user driven Programme
Places a world of insight (data and information) about our planet at the disposal of citizens, public authorities and policy makers, scientists, entrepreneurs and businesses on a full, free and open basis
Is a tool for economic development and a driver for the digital economy
The GEOSS is a social and software ecosystem connecting a large array of observing systems, data systems and processing services to strengthen monitoring of the state of the Earth. It facilitates data and information accessibility and interoperability to support the Sustainable Development Goals (SDG) agenda and the Disaster Risk Reduction.
https://www.geoportal.org/about
Report on activities as Young Scientists (YS) / Early Career Scientist Representative (ECS) Representative of the European Geosciences Union (EGU) Division on Earth and Space Science Informatics (ESSI)
sciforge lightning talk at Collaborations Workshop 2015 (CW15)Martin Hammitzsch
Collaborations Workshop 2015 (CW15) - interdisciplinary working and its relationship to software
Oxford, March 25-27, 2015
http://www.software.ac.uk/cw15
Scientific software has become an indispensable commodity for the production, processing and analysis of empirical data but also for modelling and simulation of complex processes. Software has a significant influence on the quality of research results. For strengthening the recognition of the academic performance of scientific software development, for increasing its visibility and for promoting the reproducibility of research results, concepts for the publication of scientific software have to be developed, tested, evaluated, and then transferred into operations. For this, the publication and citability of scientific software have to fulfil scientific criteria by means of defined processes and the use of persistent identifiers, similar to data publications.
Die Android App Geohazard - Naturgefahren und Krisenmanagement mit Mobile AppsMartin Hammitzsch
Lange Nacht der Wissenschaften 2014
10. Mai 2014, Wissenschaftspark 'Albert Einstein, Potsdam
Aus der Vortragsreihe 'Digitale Gesellschaft: Chance und Risiko der weltweiten Vernetzung'
Die Android App Geohazard informiert über aktuelle Naturgefahren und liefert Informationen zu Erdbeben, Tsunamis, Überschwemmungen, Wirbelstürmen, und Vulkanaktivitäten. Aktuelle Informationen kommen von verschiedenen Behörden und Instituten auf der ganzen Welt, von denen derzeit mehr als 15 von der App genutzt werden. Vielfältige Konfigurationsoptionen ermöglichen Nutzern die Anpassung der App auf individuelle Bedürfnisse. Darüber hinaus ist mit der Geohazard App auch die Erfassung von Augenzeugenberichten und Schadensberichten in Kombination mit der Crowdsourcing-Plattform Ushahidi möglich. Reports werden von der Geohazard App mit geografischen Informationen, Schadensinformationen, einer Ereignisbeschreibung und Bildern versendet. Zu Demonstrationszwecken wird hierfür ein vorkonfigurierter Ushahidi-Server genutzt. Im Ernstfall muss ein dafür speziell eingerichteter Ushahidi-Server vom Nutzer konfiguriert werden.
Geohazard App on Smartphone - Videos: http://www.youtube.com/watch?v=2RzEyfX0t4Y&list=PLEeYv-mf7sAUEUgtWfDAfT20YQEOtVDY0
Geohazard App on Tablet - Videos: http://www.youtube.com/watch?v=QrnpTfLYTpk&list=PLEeYv-mf7sAX9b6VJBhz6wnvRnAqDx9ZK
The Android app Geohazard - Experiences with shared information on natural ha...Martin Hammitzsch
Linking Geospatial Data
5th - 6th March 2014, Campus London, Shoreditch
http://www.w3.org/2014/03/lgd/
Position paper: http://www.w3.org/2014/03/lgd/papers/lgd14_submission_7
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Key Trends Shaping the Future of Infrastructure.pdf
The TRIDEC system in the NEAMWave12 exercise
1. Collaborative, Complex and Critical
Decision-Support in Evolving Crisis
The TRIDEC system in the NEAMWave12 exercise
Martin Hammitzsch (1), Fernando José Carrilho (2), Ocal Necmioglu (3), Matthias Lendholt (1), Sven Reißland (1),
Jana Schulz (1), Rachid Omira (2), Mustafa Comoglu (3), Nurcan Meral Ozel (3), and Joachim Wächter (1)
(1) GFZ German Research Centre for Geosciences, Potsdam, Germany
(2) IPMA - Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
(3) KOERI - Kandilli Observatory and Earthquake Research Institute, Bogazici University, Istanbul, Turkey
Evaluation of NEAMWave12 and discussion on NEAMWave14
ICG/NEAMTWS-X – Rome, Italy, November 19-21, 2013
Co-funded by the European Commission under FP7 (Seventh Framework Programme)
ICT-2009.4.3 Intelligent Information Management - Project Reference: 258723
3. TRIDEC
• Focuses on new technologies for
real‐time intelligent information
management in collaborative, complex
critical decision processes
• Important application field of the
technology developed is management
of natural crises, i.e. tsunamis
• Based on the development of and
experiences in the German Indonesian
Tsunami Early Warning System
(GITEWS) and the Distant Early
Warning System (DEWS)
• In TRIDEC new developments extend
the existing platform for both, sensor
integration and warning dissemination
• Building distributed tsunami warning
systems for transnational deployment
based on a component-based
technology framework
3
6. CCUI Workflow cont’d
• “Perspectives” provide functionality associated with one
task of the workflow
– Monitoring Perspective is used to track running events
– Forecasting Perspective is used to analyse simulations
– Message Composition Perspective is used to prepare and
send warning messages
– Dissemination Perspective is used to observe all generated
and sent warning messages
• Perspectives are supported by wizards
– NEAMTWS Wizard accelerates the operator’s work with
automatic and relevant operations to
• Asses estimated impact based on pre-computed simulations,
• Identify and classify affected areas and points of interest, and
• Generate and release warning messages
6
15. A Tsunami Warning and Communication Exercise for the North-eastern
Atlantic, the Mediterranean, and Connected Seas Region
NEAMWAVE12
15
16. TRIDEC in NEAMWave12
• Tsunami warning chain tested to a full scale for the first time
with different systems
– TRIDEC system validated in this exercise among others by KOERI
and IPMA
– Simulated widespread Tsunami Watch situations throughout the
NEAM region
• Participating in 2 of the 4 scenarios
– Morning of November 27, 2012, first scenario initiated and played
by the Portuguese Institute for the Sea and Atmosphere (IPMA)
• Based on the devastating 1755 Lisbon event with the assumption
that the event represents the worst-case tsunami scenario impacting
the NE Atlantic region
– Afternoon of November 28, 2012, fourth scenario was performed
by Kandilli Observatory and Earthquake Research Institute (KOERI)
• Based on the 8 August 1303 Crete and Dodecanese Islands
earthquake with a Mw=8.4 worst-case interpretation resulting in
destructive inundation in the Eastern Mediterranean
16
19. Portuguese Phase A
• Sense the initial virtual earthquake and sea level data successively
• Assess and verify the occurrence of a tsunami based on the virtual
data sensed
• Generate pre-defined warning messages with customization
– Based on event’s specific parameters and analysis results
• Disseminate generated messages to
– ICG/NEAMTWS community via GTS, and Email
– Portuguese CPA via email, and
– Other registered message recipients via Fax, Email, and SMS
• Exercise direct center-to-center communication with TRIDEC system
deployed at KOERI
19
20. Turkish Extended Phase A
• Sense the initial virtual earthquake and sea level data successively
• Assess and verify the occurrence of a tsunami based on the virtual
data sensed
• Make use of unconventional, human sensors by integrating artificial
eye-witness reports
– Sent and geographically referenced by an Android app, and
– Collected and managed by a crisis-mapping platform
• Generate user-tailored warning messages with customization
– Based on recipients‘ vocabulary, language, subscribed region, criticality,
and channel
– Based on event’s specific parameters and analysis results
• Disseminate generated messages to
– Turkish CPA via email, and
– Other registered message recipients via FTP (imitating GTS), Fax, Email
SMS, twitter clone StatusNet, WordPress blog
• Exercise direct center-to-center communication with TRIDEC system
deployed at IPMA
20
21. Master Schedule of Events List
Portuguese Phase A, NEAMWave12
PORTUGUESE MSEL
21
34. System Architecture – Upstream
Simulation
database and
on-demand
computing
GUI
Decision support
Sensors integration, data repositories
Sensors data processing
Sensors
34
36. Detour – eyewitness reports
• Extending conventional sensors, i.e. seismic system, tide
gauges, buoys, and GPS, with unconventional sensors, e.g.
eyewitness reports
• In 2010 United States Institute of Peace
(USIP) examined role of crisis-mapping in
the disaster relief effort following the 2010
earthquake in Haiti
– An open-source crisis-mapping platform,
provided a way to capture, organize, and
share critical information coming directly
from Haitians
• Successive application and validation
– 2010 Chile earthquake
– 2010 BP’s Deepwater Horizon oil spill in the
Gulf of Mexico
– 2011 Christchurch earthquake and tsunami
in New Zealand
– 2011 Japan earthquake, tsunami, and
nuclear emergency
36
37. Detour cont’d
• For this purpose an crisismapping instance has been setup for the Turkish Extended
Phase A scenario together with
Android App ‘Geohazard’
– To validate and demonstrate
the feasibility of integrating
and using eyewitness reports
– Serving eyewitness reports to
the TRIDEC system
– Making them available via the
CCUI to the operators in case
of tsunamigenic earthquake
and tsunami events
• Thus eyewitness reports
provide rapid in-situ crowdsourced measurement by
people actually experiencing
the crisis event
37
38. Detour cont’d
• Primary purpose
– Extending conventional sensors, i.e. seismic system, tide gauges,
buoys, and GPS, with unconventional sensors, e.g. eyewitness
reports
– Decentralized collection of local reports using smartphone
technology
– Rapid in-situ crowd-sourced measurement by people actually
experiencing the crisis event
• Increase attractiveness for users – potential eyewitnesses
– Ability to access freely available public information from providers
around the world, e.g.
• Earthquake information services of KOERI, IPMA, USGS, GFZ, and
many more, but also
• Tsunami information services from NOAA
• Volcano information services from USGS, and GNS
• Cyclone and flood information services from GDACS
– Services are chosen by the user according to specific needs
– Freely available in Google Play Store http://goo.gl/CyZd0K
38
39. System Architecture – Downstream
GUI
Information
Logistics
Channel
Adapters
Generation of user-tailored warning messages
with customization based on recipients‘
vocabulary, language, subscribed region, criticality, and channel
Delivery of messages
to channel providers
via various interfaces
39
47. Standards applied
• OGC – Open Geospatial Consortium
– SWE (Sensor Web Enablement) Standards
• SAS (Sensor Alert Service)
• SOS (Sensor Observation Service)
• WNS (Web Notification Service)
Standardised
sensors integration
– OWS (OpenGIS Web Service) Standards
• WMS (Web Mapping Service)
• WPS (Web Processing Service)
• WFS (Web Feature Service)
Standardised
maps integration
• OASIS – Organization for the Advancement of Structured
Information Standards
– EM (Emergency Management),
TC (Technical Committee)
• CAP (Common Alerting Protocol)
• EDXL-DE (Emergency Data Exchange
Language - Distribution Element)
Standardised
message exchange
47
48. Free and Open Source Software (FOSS)
• The TRIDEC system is based to the largest extent on FOSS components
and industry standards
• Software produced is foreseen to be published on a publicly available
software repository thus
• Permitting others to reuse results achieved,
• Enabling further development, and
• Stimulating collaboration with a wide community including scientists,
developers, users and stakeholders
• Using FOSS appeals to stakeholders for three main reasons
– Low or no cost,
– Access to source code they can tailor themselves, and
– A broad community that ensures a generally robust code base, with
quick fixes for any new issues that surface.
• FOSS takes on the challenge of
– Steep learning curve to master concepts and source code, and
– Human resources to adopt the system, and/or
– Financing of services serving the required expertise and workforce
48
50. Conclusions
• Evaluation of TRIDEC systems in full from the initial virtual earthquake
sensed, to the analysis of virtual sea level sensor data, the use of
simulations, and finally to the dissemination of warning messages in 2 of 4
NEAMWave12 scenarios
– At IPMA demonstrating the conformance to international agreements in IPMA's
Phase A
– At KOERI demonstrating functionality beyond international agreements in KOERI's
Extended Phase A to demonstrate unique features
• Use of conventional sensors and sensor systems and unconventional sensors
– Use of seismic system and tide gauges
– Use of an App to immediately sent eyewitness reports, and
– Integration of a crisis-mapping platform to collect, organize eyewitness reports
• Communication
– Centre-to-Centre software system communication between Turkey and Portugal
– Conventional delivery of warning messages via email, fax, SMS and GTS
– Delivery of user-tailored warning messages with customization based on
recipients' vocabulary, language, subscribed region, criticality, and channel
– Social media channels have been used in order to demonstrate new
opportunities
50
51. Lessons learned – from tech. view point
• Gain experience – regular exercises in international context apply
pressure and push things forward
– NEAMWave exercise could influence internal trainings/workshops and
communication test exercises – differences could be small
• Connect scientific and professional skills with state-of-the-art in ICT
– Use standards – Reuse and transform content
– Allow system-to-system and centre-to-centre communication –
Recycle information in different context
– Let technology influence SOPs
– Play with new technological approaches – Use prototypes
• Let scenarios meet reality
–
–
–
–
Clarify what full-scale means and what a scenario is
Use systems behaviour to design realistic scenarios
Survey target state. Specify downscale state – Know what you miss
Announce (internal) exercises, but hide details
• Identify stakeholders, their involvement, and their needs
– Prioritize – Check against priorities
51
52. Further information
• YouTube videos and playlists
http://goo.gl/1ecM7l
• Publications
– Meeting UNESCO-IOC ICG/NEAMTWS Requirements
and beyond with TRIDEC's Crisis Management
Demonstrator for Tsunamis (2013, ISOPE)
http://goo.gl/dOvmdF
– Development of tsunami early warning systems and
future challenges (2012, NHESS)
http://goo.gl/9OSTUI
– Tsunami Early Warning in the Eastern Mediterranean,
Aegean and Black Sea (2012, ISOPE)
http://goo.gl/jaONM9
– User interface prototype for geospatial early warning
systems – a tsunami showcase (2012, NHESS)
http://goo.gl/yUJwlY
• TRIDEC website
http://www.tridec-online.eu/
52
53. Collaborative, Complex and Critical
Decision-Support in Evolving Crisis
The TRIDEC system in the NEAMWave12 exercise
Martin Hammitzsch (1), Fernando José Carrilho (2), Ocal Necmioglu (3), Matthias Lendholt (1), Sven Reißland (1),
Jana Schulz (1), Rachid Omira (2), Mustafa Comoglu (3), Nurcan Meral Ozel (3), and Joachim Wächter (1)
(1) GFZ German Research Centre for Geosciences, Potsdam, Germany
(2) IPMA - Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
(3) KOERI - Kandilli Observatory and Earthquake Research Institute, Bogazici University, Istanbul, Turkey
Evaluation of NEAMWave12 and discussion on NEAMWave14
ICG/NEAMTWS-X – Rome, Italy, November 19-21, 2013
Co-funded by the European Commission under FP7 (Seventh Framework Programme)
ICT-2009.4.3 Intelligent Information Management - Project Reference: 258723