Shunichi Koshimura

Probabilistic tsunami fragility: an uncertainty-aware framework for disaggregated building damage estimation

Ruben Vescovo, Bruno Adriano, Erick Mas, Shunichi Koshimura

Abstract Tsunamis, while infrequent, can be some of the most damaging natural hazards to coastal communities. The unpredictable nature of tsunamis necessitates the development of robust methods that quantify probable damage and inform the development of mitigation strategies. While this critical need …

Global Tsunami Evacuation Model (GTEM)

Erick Mas, Luis Moya, Jheyder Whitman Pérez Aguinaga, Shunichi Koshimura

The Global Tsunami Evacuation Model (GTEM) is an open-source, agent-based simulation model developed to support tsunami evacuation planning and disaster risk reduction in coastal communities. GTEM represents individual evacuation behavior, population characteristics, road networks, shelter locations, tsunami hazard conditions, and warning or …

jp, pe, cn (code pays fourni par la source)

Global Tsunami Evacuation Model (GTEM)

Erick Mas, Luis Moya, Jheyder Whitman Pérez Aguinaga, Shunichi Koshimura

The Global Tsunami Evacuation Model (GTEM) is an open-source, agent-based simulation model developed to support tsunami evacuation planning and disaster risk reduction in coastal communities. GTEM represents individual evacuation behavior, population characteristics, road networks, shelter locations, tsunami hazard conditions, and warning or …

jp, pe, cn (code pays fourni par la source)

Lattice Boltzmann method for tsunami modeling part II: A review of the shallow-water flow model

Kenta Sato, Shunichi Koshimura

jp (code pays fourni par la source)

The 08 December 2025 Aomori earthquake and tsunami: Event characteristics, building impacts, and social response

An-Chi Cheng, Anawat Suppasri, Yutaro Okada, Fumiaki Tomita et autres

A large earthquake occurred off Aomori Prefecture, Japan, at 23:15 (JST) on 08 December 2025. This study investigates the event characteristics, building impacts, and social responses using a multidisciplinary approach that integrates GNSS observations, strong-motion records, tsunami data, government reports, and numerical …

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Kinematic Characteristics and Risk Analysis of Potential Rockfall based on 3D Point Clouds

Wei Yuan, Changqing Liu, Han Bao, Weihang Ran et autres

Abstract. Rockfall hazard on steep rock slopes is strongly controlled by the geometry of in-situ blocks bounded by intersecting discontinuities. In practice, however, source blocks are still commonly identified by field observation and manual interpretation, which is difficult to apply consistently on …

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A numerical study of pressure calculation in a two-phase lattice kinetic scheme: A comparison between explicit and implicit methods

Kenta Sato, Shunichi Koshimura

In this study, we numerically evaluate a characteristic explicit pressure calculation method for the improved lattice kinetic scheme (LKS) for two-phase flows. The explicit scheme utilizes a pressure evolution equation and incorporates inner iterations to increase computational stability. For the comparative analysis, …

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Flood Depth Mapping from SAR Imagery Using CS-Mamba with DEM Sensitivity Analysis

Zhongyuan Yang, Wei Yuan, Weihang Ran, Changqing Liu et autres

Abstract. Accurate flood extent and depth information are essential to emergency response, yet most existing studies treat these tasks separately. This work introduces an integrated SAR-to-depth framework that combines water body semantic segmentation with DEM-based geometric depth estimation to generate both flood-extent …

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Tsunami evacuation planning for Camana, Peru: insights from agent-based modeling

Joan Perez, Luis Moya, Julio Ramirez, Edgard Gonzales et autres

Abstract Coastal communities within the Ring of Fire, such as Camana, Peru, face significant risks from tsunamis due to their proximity to tectonic plate boundaries. This study employs agent-based modeling (ABM) integrated with reinforcement learning (RL) to assess and optimize tsunami evacuation …

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Leveraging LLMs for rapid disaster impacts assessment through News Media: A case study of the 2025 Myanmar Earthquake

Ruben Vescovo, Xuanyan Dong, Sesa Wiguna, Chia Yee Ho et autres

After a disaster strikes, information starts pouring in. However, beyond the initial seismic analysis, it is primarily through local reporting, distributed media, and testimony that an initial appraisal of the situation is gained. Satellite-based remote sensing, although powerful, can be significantly delayed. …

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Digital Twin for Tsunami Disaster Resilience - Development of TsunamiCast : Real-time Impact-based Tsunami Forecast Facility

Shunichi Koshimura, Yuichiro Tanioka, Erick Mas, Akihiro Musa et autres

Digital Twin for Tsunami Disaster Resilience - Development of TsunamiCast:Real-time Impact-based Tsunami Forecast FacilityDigital twin is generally defined as a digital representation of physical objects in the real world, stored in cyberspace and used to simulate processes and consequences of target phenomena. …

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Digital Twin for tsunami disaster resilience, incorporating data Assimilation of ocean bottom pressure data

Yuichiro Tanioka, Rinda Nita Ratnasari, Yota Atobe, Takayuki Suzuki et autres

Digital twin is recognized as a digital copy of a physical world stored in a digital space and used to simulate the sequences and consequences of a target phenomenon. By incorporating observed data into the digital twin, a full view of the …

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