Yoshimitsu Tajima

Professor

University of Tokyo

Japan

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Yoshimitsu Tajima is a Professor at The University of Tokyo, Japan. His research focuses on coastal processes, tsunami dynamics, and climate change impacts. Recent publications include studies on tsunami characteristics, sediment transport, and real-time tsunami forecasting systems. He is also involved in numerical investigations related to coastal hazards and adaptation strategies in response to climate change.

Articles (17)

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (5)

Yoshinao Matsuba

Assistant Professor

University of Tokyo

JAPAN

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Takenori Shimozono

JAPAN

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Yusuke Yamanaka

Lecturer

Hokkaido University

JAPAN

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Andrew Kennedy

Associate Professor

University of Notre Dame

UNITED STATES

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Takayuki Suzuki

Yokohama National University

JAPAN

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Yoshimitsu Tajima

Research Interests

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About

Articles (17)

Estimation of tsunami characteristics under rough wind waves in the 2024 Noto Peninsula Earthquake

Wave-gravity-induced sediment transport on steep shoreface

Real-time tsunami forecasting system with nonlinear effects using Green’s functions: application to near-shore tsunami behavior in complex bay topography

Coastal adaptation to climate change in Japan: a review

Impacts of Particle Shape, Skeletal Porosity and Density on the Settling Velocity of Gravel-Size Coral Debris

Influence of the permeability of submerged breakwaters on surrounding wave and current fields

Numerical investigation on characteristics of long wave components amplified under the 2018 Typhoons Jebi and Trami observed along the coast of Wakayama, Japan

Application of Particle Swarm Optimization for Auto-Tuning of the Urban Flood Model

A novel approach for determining integrated water discharge from the ground surface to trunk sewer networks for fast prediction of urban floods

Special issue on coastal hazards and risks due to tropical cyclones

Application of Particle Swarm Optimization for Auto-Tuning of the Urban Flood Model

Development of a Shoreline Detection Method Using an Artificial Neural Network Based on Satellite SAR Imagery

Application of recurrent neural network for prediction of the time-varying storm surge

Tidal modulation of infragravity wave dynamics on a reflective barred beach

Numerical Simulation of Volume Change of the Backshore Induced by Cross-Shore Aeolian Sediment Transport

Numerical simulation of volume change of the backshore induced by cross-shore aeolian sediment transport

Coastal impacts of super typhoon Hagibis on Greater Tokyo and Shizuoka areas, Japan

Collaborators (5)

Yoshinao Matsuba

Takenori Shimozono

Yusuke Yamanaka

Andrew Kennedy

Takayuki Suzuki

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