Giant tsunami monitoring, early warning and hazard assessment

N Mori, K Satake, D Cox, K Goda, PA Catalan… - Nature Reviews Earth & …, 2022 - nature.com
Earthquake-triggered giant tsunamis can cause catastrophic disasters to coastal
populations, ecosystems and infrastructure on scales over thousands of kilometres. In …

Evolution of tsunami warning systems and products

E Bernard, V Titov - … Transactions of the Royal Society A …, 2015 - royalsocietypublishing.org
Each year, about 60 000 people and 4billion(US) in assets are exposed to the global
tsunami hazard. Accurate and reliable tsunami warning systems have been shown to …

Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting

R Dubey, A Gunasekaran, DJ Bryde… - … journal of Production …, 2020 - Taylor & Francis
There has been tremendous interest in blockchain technology (BT)(also known as
distributed ledger technology) around the globe and across sectors. Following significant …

Machine learning-based tsunami inundation prediction derived from offshore observations

IE Mulia, N Ueda, T Miyoshi, AR Gusman… - Nature …, 2022 - nature.com
The world's largest and densest tsunami observing system gives us the leverage to develop
a method for a real-time tsunami inundation prediction based on machine learning. Our …

[KİTAP][B] Environmental hazards: assessing risk and reducing disaster

K Smith, CJ Fearnley, D Dixon, DK Bird, I Kelman - 2023 - taylorfrancis.com
The seventh edition of Environmental Hazards provides a much expanded and fully up-to-
date overview of all the extreme environmental events that threaten people and what they …

Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks

F Makinoshima, Y Oishi, T Yamazaki… - Nature …, 2021 - nature.com
Rapid and accurate hazard forecasting is important for prompt evacuations and reducing
casualties during natural disasters. In the decade since the 2011 Tohoku tsunami, various …

Towards develo** a model for the evaluation of hospital disaster resilience: a systematic review

S Fallah-Aliabadi, A Ostadtaghizadeh… - BMC health services …, 2020 - Springer
Background Hospitals play a vital role in disaster stricken regions. The resilient hospitals will
be able to provide essential services to affected people and it can mitigate the risk of injuries …

Development of MOST for real-time tsunami forecasting

V Titov, U Kânoğlu, C Synolakis - Journal of Waterway, Port …, 2016 - ascelibrary.org
The development, testing, and implementation of a real-time tsunami forecast model, the
method of splitting tsunami (MOST), is described. MOST is now used as an operational …

[HTML][HTML] Tsunami evacuation processes based on human behaviour in past earthquakes and tsunamis: A literature review

F Makinoshima, F Imamura, Y Oishi - Progress in Disaster Science, 2020 - Elsevier
Understanding the evacuation behaviour in tsunamis offers important knowledge to consider
for evacuation, countermeasures and preparedness for future tsunamis. With this …

[HTML][HTML] Numerical modeling of tsunami: advances and future challenges after the 2011 Tohoku earthquake and tsunami

D Sugawara - Earth-Science Reviews, 2021 - Elsevier
This paper reviews achievements and findings from studies associated with numerical
modeling of tsunami since the 2011 Tohoku earthquake, and addresses challenges for …