4.8 Review

Giant tsunami monitoring, early warning and hazard assessment

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NATURE REVIEWS EARTH & ENVIRONMENT
卷 3, 期 9, 页码 557-572

出版社

SPRINGERNATURE
DOI: 10.1038/s43017-022-00327-3

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资金

  1. KAKENHI [20KK0095, 21H04508]
  2. JST/JICA SATREPS Indonesia
  3. DPRI-ERI Research Fund [2019-K-01, 2021-K-01]
  4. Canada Research Chair programme [950-232015]
  5. Natural Sciences and Engineering Research Council [RGPIN-2019-05898]
  6. ANID
  7. Chile Centro de Investigacion para la Gestion Integrada del Riesgo de Desastres (CIGIDEN) [ANID/FONDAP/15110017]
  8. Centro Cientifico Tecnologico de Valparaiso [ANID PIA/APOYO AFB180002]

向作者/读者索取更多资源

This review assesses the advancements in tsunami observation and monitoring, with a focus on rapid early warning and long-term hazard assessment. Real-time tsunami wave height data provided by ocean-bottom pressure gauges, combined with numerical and analogue modelling, have enabled accurate tsunami forecasts within minutes of an earthquake. This allows local communities to evacuate promptly and saves lives.
The scale and tragedy of the giant tsunamis in 2004, 2010 and 2011 led to a revolution in tsunami monitoring. This Review assesses the advances in tsunami observation, monitoring and hazard assessment, which have allowed near-real-time early warning systems to be developed. Earthquake-triggered giant tsunamis can cause catastrophic disasters to coastal populations, ecosystems and infrastructure on scales over thousands of kilometres. In particular, the scale and tragedy of the 2004 Indian Ocean (about 230,000 fatalities) and 2011 Japan (22,000 fatalities) tsunamis prompted global action to mitigate the impacts of future disasters. In this Review, we summarize progress in understanding tsunami generation, propagation and monitoring, with a particular focus on developments in rapid early warning and long-term hazard assessment. Dense arrays of ocean-bottom pressure gauges in offshore regions provide real-time data of incoming tsunami wave heights, which, combined with advances in numerical and analogue modelling, have enabled the development of rapid tsunami forecasts for near-shore regions (within 3 minutes of an earthquake in Japan). Such early warning is essential to give local communities time to evacuate and save lives. However, long-term assessments and mitigation of tsunami risk from probabilistic tsunami hazard analysis are also needed so that comprehensive disaster prevention planning and structural tsunami countermeasures can be implemented by governments, authorities and local populations. Future work should focus on improving tsunami inundation, damage risk and evacuation modelling, and on reducing the uncertainties of probabilistic tsunami hazard analysis associated with the unpredictable nature of megathrust earthquake occurrence and rupture characteristics.

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