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

Y. Kaneda
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引用次数: 1

Abstract

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.
结合科技促进海洋科学发展和减轻自然灾害
2011年东日本地震给日本带来了前所未有的海啸损失。从这次特大逆冲地震造成的严重灾害中,我们认识到海上实时监测的重要性。事实上,2011年东日本地震时,釜石海底电缆的压力表比陆地潮汐测量站更早地检测到大海啸。这些事实表明,海上实时监测系统对于海啸预警是十分重要和不可或缺的。围绕南开海槽,作为实时监测系统,我们已经开发并部署了DONET(地震海啸密集海底网络系统),并将部署DONET2系统。利用这些海底网络,海啸预警系统将得到改进并变得更加可靠。DONET和DONET2不仅对早期预警有重要意义,而且对认识地壳活动也有重要意义。此外,利用数据同化方法模拟特大逆冲地震的高级重复周期,海上实时数据是必不可少的。数据同化方法利用模拟的数据和结果作为预测滤波器。这种数据同化方法将成为高级仿真的重要研究工具。这种数据同化方法需要实时监测系统提供精确、高质量和稳定的数据。因此,DONET, DONET2已被开发为精确和长期监测系统。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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