Kimiyuki Asano

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准教授 / Associate Professor

Kyoto University

Japan

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Kimiyuki Asano is an Associate Professor at Kyoto University in Japan. His research focuses on seismic activity and earthquake processes, as evidenced by his recent articles on topics such as the source rupture process of earthquakes in the Noto Peninsula and the seismic moment tensor analysis of the Kyoto-Osaka border region. His work also includes validation of velocity structures and investigations into stress changes related to significant seismic events, contributing to a deeper understanding of earthquake dynamics.

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Elucidation of Strong Motion Generation Mechanism Controlled by Hierarchical Structure in Source Heterogeneity of Subduction Plate-Boundary Earthquakes

Open Date: 2013-04-01

Close Date: 2018-03-31

Articles (9)

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2021

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2020

Collaborators (1)

Ken Miyakoshi

JAPAN

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Kimiyuki Asano

Research Interests

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Recent Grants

Articles (9)

Source rupture process of the MW 6.2 earthquake in the Noto Peninsula, central Japan, on May 5, 2023

Softening and Recovery of Near‐Surface Layers During the 2024 M7.6 Noto Earthquake

Seismic Moment Tensor and Focal Mechanism of the MW3.3 earthquake of May 11, 2021 in the Kyoto-Osaka Border Region Determined by Waweform Inversion

Validation of Deep Velocity Structure Model in the Kyoto and Nara Basins Using Autocorrelation Functions of Strong Motion Records

Constraint on the background stress in the source region of the 2016 Kumamoto earthquake sequence based on temporal changes in elastic strain energies and coseismic stress rotation

Variation in Rake Angles of Heterogeneous Source Models

Microtremor array surveys and development of the velocity model in the Hakodate Plain, Hokkaido, Japan

Revisiting the Source Rupture Process of the Mainshock of the 2016 Kumamoto Earthquake and Implications for the Generation of Near-Fault Ground Motions and Forward-Directivity Pulse

Along‐Dip Variation in Seismic Radiation of the 2011 Ibaraki‐Oki, Japan, Earthquake (Mw 7.9) Inferred Using a Multiple‐Period‐Band Source Inversion Approach

Collaborators (1)

Ken Miyakoshi

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