Estimating 3D shallow S-wave velocity models from geophysical data based on machine learning in urban areas

Koichi Hayashi

Presentation information

[E] Oral

U (Union ) » Union

[U-09] The Future of Urban Engineering Geology

Fri. May 29, 2026 1:45 PM - 3:15 PM Exhibition Hall Special Setting (1) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Kitada Naoko(Geo-Research Institute), Takeshita Toru(Adviser, Land Infrastructure Division, Pacific Consultants Co., Ltd.)

3:00 PM - 3:15 PM

[U09-06] Estimating 3D shallow S-wave velocity models from geophysical data based on machine learning in urban areas

*Koichi Hayashi¹, Toru Suzuki², Tomio Inazaki³, Chisato Konishi⁴, Haruhiko Suzuki⁴, Hisanori Matsuyama⁴ (1. Kyoto University, Disaster Prevention Research Institute, 2. Mony Exploration Corporation, 3. Non-affiliated, 4. OYO Corporation)

Keywords:S-wave velocity, Machine learning, Three-dimensional, Urban areas, Surface wave method, Microtremors