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Risk Management for Tsunami-Related Disasters

Dr. Shunichi Koshimura (Tohoku Univ.)
Dr. Shunichi Koshimura (Tohoku Univ.)
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tsunami (1)
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Duration 5 weeks
Dedication 1 – 2 hours per week
Cost Free
Certificate $ 50
Language English
Subtitles Spanish
Evaluation Yes
Support material Yes
Institution World Federation of Engineers Organizations
Peruvian Engineers Association

Rationale

December 26th 2004 at 00:58:53 UTC, the world was overwhelmed to see in near-real time the shocking images of the big Indian Ocean earthquake and tsunami effects. It took more than 270,000 lives and caused loss of property and infrastructure along large coastal zones of Indonesia, India, Sri Lanka and Thailand. This quite unexpected event reminded us that nature could give bad surprises if we are not aware of the actual level of risk, wherever we are. About 30 events with total death toll of 150,000 had already occurred during the 20th century.

Tsunamis are defined as a series of large waves of extremely long wavelength and period usually generated by a violent, impulsive undersea disturbance or activity near the coast or in the ocean. They are usually associated with earthquake faulting of the sea floor, but may also be related to submarine landslides and volcanic activity.

Although the great progress achieved, and that tsunami early warning systems exist now for the most hazardous areas of the world, we are far from being fully prepared and resilient. Besides the 2004 Indian Ocean event, since the dawn of this 21st century, several other tsunamis have devastate coastal regions showing that there is still large room for improvement on tsunami-related disaster risk management.

In that context, the Committee on Disaster Risk Management of the World Federation of Engineering Organizations (CDRM-WFEO) seeks to contribute in the reduction of potential losses of life and property in tsunami prone areas through this first course aimed to strength capacities in DRM.

Objetives

To recognize the elements conferring a given tsunami hazard level to a study area or population, considering the regional framework of risk.

Learn the modern techniques for quick assessment of damage in affected areas useful for timely response and first aid.

To understand the basis of artificial intelligence using big data to support decisions during the phases of early warning and response.

Participant requirements

This course is intended for chief and operating officers of management/preparedness agencies, government authorities, engineers, and urban planners. Advanced students and professionals with fundamental skills in physics and natural sciences are also welcome.

Certificate

Certification as participant will be delivered to those having visited the platform and attended the lectures. Meanwhile, the mention of “has approved the course” will be given to those who fulfill the exercises and take the final exam.

Cost

The course is cost-free. Only the certification needs the payment of US$ 50.=

Additional information through the platform or write to:

wfeo-cdrm@cip.org.pe

Coordinator

Dr José Macharé Ordoñez (WFEO-CDRM member)

Asked questions

How can I ask questions or request clarifications?

You can ask your questions via the forums and messaging tool, as well as by emailing your course tutor

Who can I contact if I have technical difficulties?

For technical assistance, our support team is ready and available to help you 24 hours a day, 7 days a week. You can contact us at INDES-HELP; please be ready to explain in detail the problem you’re encountering.

What background knowledge is necessary?

Do I need to take the courses in a specific order?

Course Features

  • Lectures 5
  • Quizzes 0
  • Duration 6 semanas
  • Language English (Subtitulado en español)
  • Students 101
  • Assessments Yes
Risk Management for Tsunami-Related Disasters
  • Unit 1 - Lessons from the past tsunami events and future perspectives 1

    • Lecture1.1
      We revisit the lessons of the past catastrophic tsunami events, e.g. the 2011 Japan and 2004 Indian Ocean, specifically on the response and impact, and discuss the paradigm shift of tsunami disaster management policies and the perspectives for future tsunami disaster mitigation. Revisiting the modern histories of Tohoku tsunami disasters and pre-2011 tsunami countermeasures, we clarify how Japan’s coastal communities have prepared for tsunami. The discussion mainly focuses on structural measures such as seawalls and breakwaters and non-structural measures of hazard map and evacuation. The responses to the 2011 event are discussed specifically on the tsunami warning system and efforts to identify the tsunami impacts. The post tsunami survey results shed the light on the mechanisms of structural destruction, tsunami loads, and structural vulnerability to inform structural rehabilitation measures and land use planning.
  • Unit 2 - Tsunamis: modeling technology and its application for tsunami warning 1

    • Lecture2.1
      This lecture gives an overview of tsunami modeling and its application on monitoring and warning systems which are arranged to five sections: 1) Tsunami generation mechanism, 2) Numerical approach, 3) Tsunami monitoring system, 4) Tsunami warning system and 5) Lessons from recent tsunamis. Audiences of this lecture will understand limitation of the current tsunami modeling and warning system and be able to understand or convey proper tsunami warning message as well as perform safer evacuation related actions.
  • Unit 3 - Tsunami Effects on Infrastructure 1

    • Lecture3.1
      Extreme coastal floods such as the 2004 Indian Ocean Tsunami, the 2010 Chile Tsunami or the 2011 Tohoku Tsunami, as well as by the 2005 Katrina and 2012 Sandy hurricanes have shown that, hydrodynamic and debris loading are major contributors to the extreme damage experienced by coastal infrastructure. The course will provide an overview of the effects of tsunamis on coastal infrastructure and of the world’s first design standard for tsunami resistant structures. The new ASCE-7 Tsunami Loads and Effects Committee (of which Prof. Nistor is a Voting Member) has recognized the significant importance of tsunami-induced hydrodynamic and debris loading and proposed a comprehensive document (ASCE7 Chapter 6) for the design of critical infrastructure.
  • Unit 4 - Artificial Intelligence and Remote sensing technology for tsunami damage 1

    • Lecture4.1
      The focus of this lecture is on the application of artificial intelligence and Earth observation technologies for extracting tsunami-induced damage in urban areas. We will learn how the advance of machine learning framework together with multisource remote sensing imagery enables rapid and accurate damage recognition soon after tsunami disasters. Here, some of the state-of-the-art algorithms used for damage mapping will be explored. Finally, we will see examples of applications in previous disaster events such as the 2018 Sulawesi Tsunami in Indonesia.
  • Unit 5 - Modeling tsunami evacuations 1

    • Lecture5.1
      This course lecture presents the methodologies for assessing tsunami evacuation trough simulation and modeling. The discussion focuses on the use of agent based modeling (ABM) as a tool to assess the evacuation behavior and contribute to tsunami risk reduction. The lecture presents several cases of tsunami evacuation studies and applications to evacuation planning. In addition, an open-source agent based platform is presented and the steps to develop, modify and use it for evacuation simulation are briefly discussed. The lecture aims on giving a short introduction to the use of ABM in disaster research, and in particular, tsunami evacuation research.
Dr. Shunichi Koshimura (Tohoku Univ.)
Dr. Shunichi Koshimura (Tohoku Univ.)
Dr. Shunichi Koshimura is a professor of the International Research Institute of Disaster Science, Tohoku University. He received Ph.D. degree from the Graduate School of Engineering, Tohoku University in 2000. He started his career as a JSPS research fellow in Earthquake Research Institute, the University of Tokyo, and in Pacific Marine Environmental Laboratory (PMEL), NOAA, USA. In 2005, he joined the Graduate School of Engineering, Tohoku University as an associate professor, then in 2012, International Research Institute of Disaster Science, Tohoku University, as a professor. Dr. Koshimura carries out his research specifically on tsunami disaster. His main focus is on estimating impacts of tsunami inundation by integrating numerical modeling, earth observation and geo-informatics. He is also a co-Founder of RTi-cast, Inc,. a technology firm that offers real-time tsunami inundation damage forecast services to government organizations and commercial clients.
Dr. Ioan Nistor (University of Ottawa).
Dr. Ioan Nistor (University of Ottawa).
Dr. Ioan NISTOR is a Professor of Hydraulic and Coastal Engineering in the Department of Civil Engineering and Assistant Vice-Provost Graduate Studies of the University of Ottawa, Canada. He is researching hazards associated with extreme hydrodynamic and debris loading on infrastructure and is a Voting Member of the ASCE Tsunami Effects and Loads Committee and of Working Group 5 (Debris) of the Japan Society of Civil Engineers (JSCE). He is also a Fellow of the Canadian Society of Civil Engineering (CSCE). He won several research and teaching awards (Tsunami International Society Award, University of Ottawa Excellence in Education Award, Ontario Ministry of Infrastructure Award, Faculty of Engineering John Marsh Teaching Award) and published over 240 scientific papers.
Dr. Bruno Adriano (RIKEN)
Dr. Bruno Adriano (RIKEN)
Bruno Adriano received a Ph.D. degree in engineering from Tohoku University, Japan. He was engaged in studying the integration of remote sensing technologies and real-time computer simulations for tsunami-induced damage recognition. Currently, He is a researcher at the RIKEN Center for Advanced Intelligence Project (AIP). His primary research is the development and implementation of machine learning frameworks for building damage extraction. He is also a member of the Japan Society of Civil Engineers (JSCE), and the Peruvian Association of Engineers (CIP).
Dr. Erick Mas (Tohoku University)
Dr. Erick Mas (Tohoku University)
Dr. Erick Mas was born in Lima, Peru and graduated as a Civil Engineer from the National University of Engineering (UNI) in Peru. He has professional experience on disaster risk management at regional and local governments in Peru. Dr. Mas has a Master degree on Disaster Risk Management for Sustainable Development from UNI and a PhD degree on Tsunami Engineering from Tohoku University. Dr. Mas has on field experience after disasters such as the 2013 Super Typhoon Haiyan in the Philippines, the 2011 Tohoku tsunami in Japan and the 2010 Chile earthquake and tsunami in Concepcion, among others. He is Associate Professor at the Laboratory of Remote Sensing and Geoinformatics for Disaster Management and concurrent to the International Research Promotion Office, both at the International Research Institute of Disaster Science (IRIDeS). He is also appointed to the Graduate School of Engineering and the Tough Cyber Physical AI Research Center in Tohoku University. His research interests are related to agent based modeling, tsunami numerical simulation, evacuation simulation, UAV and remote sensing for tsunami damage and risk assessment.
Dr. Anawat Suppasri (Tohoku University)
Dr. Anawat Suppasri (Tohoku University)
Dr. Anawat Suppasri obtained PhD in Tsunami Engineering from Tohoku University in 2010. After that, he received research grant under the Willis Research Network to continue his research of tsunami risk assessment in Tohoku University. After the 2011 Tohoku tsunami, Tohoku University established the International Research Institute of Disaster Science (IRIDeS) in April 2012. He became Associate Professor at Hazard and Risk Evaluation Research Division. At present, his research focuses on tsunami numerical simulation, tsunami fragility analysis, tsunami evacuation and disaster mitigation education. His research publications received awards from Japan Society of Civil Engineers, Japan Foundation of Ocean Engineering, Japan Society for Natural Disaster Science and former Japanese prime minister Yasuhiro Nakasone. He was also awarded as outstanding reviewer by International Journal of Disaster Risk Reduction for many years. He is an editorial board member of Coastal Engineering Journal and International Journal of Disaster Risk Reduction.

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