2:00 PM - 2:15 PM
[SCG53-02] Tsunami observation and development of real-time tsunami detection by using ocean surface radar
★Invited Papers
Keywords:Ocean surface radar, Tsunami, Tsunami mitigtation
Ocean surface radar is a land-based remote sensing instrument that emits radio waves toward the ocean and receives radio waves backscattered by ocean waves to measure ocean surface currents from the frequency difference between the transmitted and received waves. The advantage of this radar is that it enables observation from the vicinity of the continental shelf edge to a harbor area with high resolution (spatial resolution 0.5 to 3 km, time resolution 2 minutes). Ocean surface radar first succeeded in observing the flow velocity of the tsunami generated by the 2011 Tohoku-Oki earthquake (e.g., Hinata et al., 2011). Since this success, real-time tsunami detection using ocean surface radar has been developed (e.g., Grilli et al., 2016).
On the other hand, tsunami detection accuracy with ocean radar depends on the SNR (ratio of the intensity of the received signal to external noise), so the detection performance should be statistically evaluated based on tsunami measurement data under various SNR conditions. However, the only tsunamis for which observation data have been acquired by ocean surface radar thus far are the 2012 tsunami in Indonesia and the meteotsunami in the US, and the data were insufficient for statistical evaluation. To solve this problem, a method called a virtual tsunami observation experiment has been proposed (Fuji and Hinata, 2017), and real-time tsunami detection has been developed based on this method (Ogata et al., 2018).
In this presentation, we will introduce the method of tsunami observation using ocean surface radar and the development of real-time tsunami detection, and discuss the utilization of ocean radar in tsunami disaster mitigation.
On the other hand, tsunami detection accuracy with ocean radar depends on the SNR (ratio of the intensity of the received signal to external noise), so the detection performance should be statistically evaluated based on tsunami measurement data under various SNR conditions. However, the only tsunamis for which observation data have been acquired by ocean surface radar thus far are the 2012 tsunami in Indonesia and the meteotsunami in the US, and the data were insufficient for statistical evaluation. To solve this problem, a method called a virtual tsunami observation experiment has been proposed (Fuji and Hinata, 2017), and real-time tsunami detection has been developed based on this method (Ogata et al., 2018).
In this presentation, we will introduce the method of tsunami observation using ocean surface radar and the development of real-time tsunami detection, and discuss the utilization of ocean radar in tsunami disaster mitigation.