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Integration of science and technology for evolutions of ocean science and natural disaster mitigation

机译:整合科学技术促进海洋科学发展和减轻自然灾害

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摘要

2011 East Japan Earthquake generated unprecedented tsunami damages to Japan. From this severe disaster by mega thrust earthquake, we recognized the importance of off shore real time monitoring. Actually, pressure gauges of Kamaishi ocean floor cable detected large tsunamis at 2011 East Japan earthquake earlier than land tide gauge stations. These facts indicate that off shore real time monitoring systems are quite important and indispensable for tsunami early warning. Around the Nankai trough, as real time monitoring systems, we have already developed and deployed DONET (Dense Oceanfloor Network System for Earthquakes and Tsunamis) and will deploy DONET2 system. Using these ocean floor networks, tsunami early warning system will be improved and become more reliable. DONET and DONET2 are very important and significant for not only contributions to early warning, but also for understandings of crustal activities. Furthermore, offshore real time data is necessary and indispensable for advanced recurrence cycle simulation of mega thrust earthquakes using data assimilation methods. The data assimilation method acts as prediction filters using data and results of simulations. This data assimilation method will be the key research tool for advanced simulation. This data assimilation method requires precise, high quality and stable data from real time monitoring systems. Therefore, DONET, DONET2 have been developed as precise and long term monitoring systems. Finally, integration of science and technology will be the driving force for the ocean science evolutions and natural disaster mitigations.
机译:2011年东日本大地震对日本造成了前所未有的海啸破坏。从这次特大推力地震造成的严重灾难中,我们认识到离岸实时监控的重要性。实际上,釜石海底电缆的压力表在2011年东日本大地震之前比陆地潮汐测量站更早地发现了海啸。这些事实表明,离岸实时监测系统对于海啸预警非常重要,必不可少。作为实时监视系统,在南海海槽附近,我们已经开发并部署了DONET(用于地震和海啸的密集海底网络系统),并将部署DONET2系统。利用这些海床网络,海啸预警系统将得到改善并变得更加可靠。 DONET和DONET2不仅对早期预警做出了贡献,而且对于了解地壳活动也非常重要和重要。此外,使用数据同化方法对大型逆冲地震的高级递归循环模拟来说,海上实时数据是必要和必不可少的。数据同化方法用作使用数据和模拟结果的预测过滤器。这种数据同化方法将成为高级仿真的关键研究工具。这种数据同化方法需要实时监控系统提供精确,高质量和稳定的数据。因此,DONET,DONET2已被开发为精确和长期的监视系统。最后,科学技术的融合将成为海洋科学发展和减轻自然灾害的动力。

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  • 来源
  • 会议地点 Tokyo(JP);Tokyo(JP)
  • 作者

    Kaneda Yoshiyuki;

  • 作者单位

    DONET research and development group, Japan Agency for Marine-Earth Science and Technology 3173-25 Showa-machi, Kanazawa-ku Yokohama, 236-0001, Japanc;

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  • 原文格式 PDF
  • 正文语种 eng
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