Potential for Tsunami Detection via CCTV Cameras in Northeastern Toyama Prefecture, Japan Following the 2024 Noto Peninsula Earthquake

Tomoki Shirai, Yota Enomoto, Keisuke Haga, Tatsuhiko Tokuta,Taro Arikawa,Nobuhito Mori,Fumihiko Imamura

crossref(2024)

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摘要
Abstract This study explored Closed-Circuit Television (CCTV) networks in northeastern Toyama Prefecture, Japan, as a new data source for tsunami detection following the 2024 Noto Peninsula earthquake. We analyzed CCTV footage and extracted time-series water level fluctuations at Yokoyama, Shimoiino, and Ekko. Spectral analysis of these waveforms revealed several long-period peaks (more than 100 seconds) in power spectral density (PSD), suggesting the presence of tsunami components. Notably, relatively large PSD peaks at approximately 5–10 minutes were observed at all CCTV locations in this study and at offshore wave observation points (Tanaka and Toyama). At Yokoyama, a maximum run-up of approximately 3 m was confirmed around 16:28. Although water level fluctuations at Shimoiino and Ekko were detected, identifying tsunami components proved challenging due to their small magnitude compared to other wave components. Despite these challenges, this study demonstrates the potential of CCTV networks for tsunami detection, and further research is needed to achieve real-time detection.
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