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Advancing earthquake prediction with an unmanned aerial vehicle

07.23.25 | Institute of Industrial Science, The University of Tokyo

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Tokyo, Japan - Megathrust earthquakes are large earthquakes that occur on faults found along the boundaries between tectonic plates. The Nankai Trough is a megathrust earthquake zone lying off the southwestern coast of Japan, and experts estimate that this zone could generate a potentially devastating (magnitude 8 or 9) large earthquake sometime in the next 30 years. In addition to the direct catastrophic impact of such powerful ground shaking, a seismic event of this magnitude could trigger cascading hazards such as destructive tsunamis.

Developing the technologies for efficient and reliable seafloor monitoring is paramount when considering the potential for socioeconomic harm represented by megathrust earthquakes. Traditionally, seafloor measurements have been obtained using transponder stations located on the seafloor that communicate with satellites via buoys or ocean-going vessels to produce accurate positional information. However, data collection using such systems has problems such as low efficiency and speed.

In a study published in Earth and Space Science , researchers at Institute of Industrial Science, The University of Tokyo, addressed the challenge of acquiring reliable, high-precision, real-time seafloor measurements by constructing a seaplane-type unmanned aerial vehicle (UAV) that can withstand ocean currents and wind. This vehicle is intended for use with the Global Navigation Satellite System–Acoustic (GNSS-A)―a system that uses satellites to determine locations on Earth―to provide a communication link with seafloor transponder stations.

“We conducted initial experiments in a water tank,” explains lead author of the study Yuto Yoshizumi, “and found that the proposed system can detect distances to an accuracy within 2.1 cm.”

To further evaluate the system, at-sea trial tests were performed by landing the UAV on the sea surface off the coast of Japan under optimal sea conditions. “The results were hugely encouraging,” says senior author Yusuke Yokota. “These seafloor positioning measurements are the first ever achieved using a UAV, and we attained a horizontal root mean square error of approximately 1–2 cm, which is easily comparable to that of existing vessel-based systems.”

The rapid real-time acquisition of seafloor information using the UAV system developed by the research team at Institute of Industrial Science, The University of Tokyo, is expected to provide the foundation for advanced research into earthquake disaster prevention. Such data are urgently needed given the speed and frequency of occurrence of megathrust earthquakes on the Nankai Trough.

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The article, “Construction and Demonstration of a Seaplane-type UAV-based High-Precision GNSS-A Seafloor Crustal Deformation Observation System,” was published in Earth and Space Science at DOI: <a href="https://doi.org/10.1029/2025EA004237" target="_blank">10.1029/2025EA004237</a>.

The Institute of Industrial Science, The University of Tokyo (UTokyo-IIS) is one of the largest university-attached research institutes in Japan. UTokyo-IIS is comprised of over 120 research laboratories—each headed by a faculty member—and has over 1,200 members (approximately 400 staff and 800 students) actively engaged in education and research. Its activities cover almost all areas of engineering. Since its foundation in 1949, UTokyo-IIS has worked to bridge the huge gaps that exist between academic disciplines and real-world applications.

Earth and Space Science

10.1029/2025EA004237

Construction and Demonstration of a Seaplane-type UAV-based High-Precision GNSS-A Seafloor Crustal Deformation Observation System

23-Jul-2025

Keywords

Article Information

Contact Information

Yusuke Yokota
Institute of Industrial Science, The University of Tokyo
yyokota@iis.u-tokyo.ac.jp

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How to Cite This Article

APA:
Institute of Industrial Science, The University of Tokyo. (2025, July 23). Advancing earthquake prediction with an unmanned aerial vehicle. Brightsurf News. https://www.brightsurf.com/news/LKNW59WL/advancing-earthquake-prediction-with-an-unmanned-aerial-vehicle.html
MLA:
"Advancing earthquake prediction with an unmanned aerial vehicle." Brightsurf News, Jul. 23 2025, https://www.brightsurf.com/news/LKNW59WL/advancing-earthquake-prediction-with-an-unmanned-aerial-vehicle.html.