Details of the Researcher

PHOTO

Mas Samanez Erick Arturo
Section
International Research Institute of Disaster Science
Job title
Associate Professor
Degree

  • 博士（工学）（東北大学）

  • 修士（工学）（National University of Engineering Peru）

e-Rad No.
30648374
Researcher ID
T-2660-2019
Profile

Dr. Erick Mas is an expert in disaster risk management, specializing in agent-based modeling, tsunami numerical simulation, evacuation modeling, and remote sensing for damage assessment. He developed TUNAMI-EVAC, an open-source tsunami evacuation model using NetLogo, helping improve evacuation planning and risk reduction strategies.

Beyond academia, Dr. Mas serves as a Technical Consultant for RTi-cast, contributing to real-time tsunami inundation and damage forecasting technologies. His work bridges cutting-edge research with practical applications to enhance societal resilience against large-scale disasters.

He holds a Ph.D. in Civil Engineering (Tsunami Engineering) from Tohoku University, following an M.Sc. in Disaster Risk Management and a B.S. in Civil Engineering from the National University of Engineering (UNI) in Peru. Currently, he is an Associate Professor at the International Research Institute of Disaster Science (IRIDeS), Tohoku University. His extensive field experience includes disaster response studies in major events such as the 2010 Chile earthquake and tsunami, the 2011 Tohoku tsunami, and the 2013 Super Typhoon Haiyan.

With a strong interdisciplinary approach, Dr. Mas integrates technology, modeling, and field expertise to advance disaster risk reduction, making him a valuable collaborator for researchers and an inspiring mentor for students.

Research History 5

  • 2016/06 - Present
    Tohoku University　International Research Institute of Disaster Science　Associate Professor

  • 2019/04 - Present
    Tohoku University　Tough Cyberphysical AI Research Center　Associate Professor

  • 2012/10 - 2016/05
    Tohoku University　International Research Institute of Disaster Science　Assistant Professor

  • 2007/09 - 2009/03
    Municipality of La Punta, Callao, Peru

  • 2005/06 - 2009/03
    Government of Callao, Peru

Education 3

  • Tohoku University　Department of Civil and Environmental Engineering, Graduate School of Engineering

    - 2012/09

  • National University of Engineering　Graduate School, Division of Engineering　Master Program on Disaster Risk Management and Sustainable Development

    - 2009/08/05

  • National University of Engineering　Faculty of Civil Engineering

    - 2004/12

Professional Memberships 4

  • Japan Society of Civil Engineers

    2013/01 - Present

  • Council of Engineering of Peru

    2005/01 - Present

  • American Geophysical Union

    2012/08 - 2016/12

  • Japan Geoscience Union

    2009/08 - 2012/12

Research Interests 4

  • Agent Based Modeling

  • Tsunami Engineering

  • Evacuation Simulation

  • Numerical Modeling

Research Areas 4

  • Natural sciences / Human geoscience /

  • Natural sciences / Solid earth science /

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Social systems engineering /

  • Social infrastructure (civil Engineering, architecture, disaster prevention) / Disaster prevention engineering /

Awards 10

  1. 土木学会東北支部研究奨励賞

    2023/05　土木学会東北支部　津波避難時の渋滞緩和のための徒歩避難促進手法の提案：宮城県石巻市における実践例

  2. Docomo Mobile Science Award - Advanced Technology Prize

    2021/10　Mobile Communication Fund　Fusion of Real-time Simulation and Advanced Sensing, towards Real-time Disaster Science

  3. Construction Engineering Research Award

    2018/06　Society for the Promotion of Construction Engineering

  4. NRC Merit Award for Scientific Publication

    2017/12　National Research Council of Sri Lanka

  5. Excellent Young Researcher Award

    2017/11　16th International Symposium on New Technologies for Urban Safety of Mega Cities in Asia

  6. Excellent Young Researcher Award

    2017/11　16th International Symposium on New Technologies for Urban Safety of Mega Cities in Asia

  7. Poster Award in Academic Research

    2017/11　World Bosai Forum

  8. Costal Engineering Journal Citation Award

    2017/10　Costal Engineering Journal

  9. Hazard 2000 International Award

    2013/09　Japan Society for Natural Disaster Science

  10. Best Presentation Awards for Young Researchers

    2012/03　9th CUEE and 4th ACEE Joint Conference

Show all ︎Show 5

Papers 95

  1. Understanding the relationship between building damage and tsunami inundation due to the 2024 Noto Peninsula Earthquake

    Bruno Adriano, Hideomi Gokon, Ayumu Mizutani, Erick Mas, Shunichi Koshimura

    Ocean Engineering　2025/11

    DOI： 10.1016/j.oceaneng.2025.122179 　

  2. Towards real-time extraction of cascading effect and spatiotemporal analysis using social media data

    Xuanyan Dong, Erick Mas, Bruno Adriano, Shunichi Koshimura

    International Journal of Disaster Risk Reduction　2025/07

    DOI： 10.1016/j.ijdrr.2025.105512 　

  3. Revising the seismic source of the 1979 Tumaco-Colombia earthquake (Mw = 8.1) for future tsunami hazard assessment Peer-reviewed

    Bruno Adriano, Cesar Jimenez, Erick Mas, Shunichi Koshimura

    Physics of the Earth and Planetary Interiors　362　107344-107344　2025/05

    Publisher: Elsevier BV

    DOI： 10.1016/j.pepi.2025.107344 　

    ISSN： 0031-9201

  4. The 2024 Noto Peninsula earthquake building damage dataset: Multi-source visual assessment Peer-reviewed

    Ruben Vescovo, Bruno Adriano, Sesa Wiguna, Chia Yee Ho, Jorge Morales, Xuanyan Dong, Shin Ishii, Kazuki Wako, Yudai Ezaki, Ayumu Mizutani, Erick Mas, Satoshi Tanaka, Shunichi Koshimura

    Earth Syst. Sci. Data Discuss. [preprint]　2025/03/05

    Publisher: Copernicus GmbH

    DOI： 10.5194/essd-2024-363 　

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    Abstract. We present a building damage dataset following the 2024 Noto Peninsula Earthquake. The database was compiled from freely available, multi-source, remote sensing data, verified through opt-in crowd-sourced information. The dataset consists of geo-referenced vector polygons representing the pre-event building footprints of 140,208 structures. Each building was classified through visual inspection using pre-disaster and post disaster vertical, oblique, survey, and verifiable news reporting imagery. Entries were validated using voluntary-submission data sourced through a web-API hosting a live version of the database. We calculate classification metrics for a subset of the database where ground survey photographs were provided by independent surveyors. An average F1-score of 0.94 suggests that the proposed assessment is consistent and high quality. We aim to inform future disaster research such as disaster dynamics models; statistical and machine learning damage models; logistics and evacuation studies. The present work describes the data collection process, damage assessment methodology, and rationale; including limitations encountered, the crowd sourcing validation process, and the dataset structure.

  5. The 2004 Noto Peninsula Earthquake Tsunami - It's Generation, Propagation, Inundation, and Impact

    Shunichi Koshimura, Bruno Adriano, Ayumu Mizutani, Erick Mas, Yusaku Ohta, Shohei Nagata, Yuriko Takeda, Ruben Vescovo, Sesa Wiguna, Takashi Abe, Takayuki Suzuki

    2025/01/20

    DOI： 10.5194/egusphere-egu24-22527 　

  6. The Impact of the 2024 Noto Peninsula Earthquake Tsunami

    Shunichi Koshimura, Bruno Adriano, Ayumu Mizutani, Erick Mas, Yusaku Ohta, Shohei Nagata, Yuriko Takeda, Ruben Vescovo, Sesa Wiguna, Takashi Abe, Takayuki Suzuki

    2025/01/20

    DOI： 10.5194/egusphere-egu24-22523 　

  7. Tsunami Digital Twin – Concept, Progress, and Application to the 2024 Noto Peninsula Earthquake Tsunami Disaster, Japan

    Shunichi Koshimura, Bruno Adriano, Erick Mas, Shohei Nagata, Yuriko Takeda

    2025/01/20

    DOI： 10.5194/egusphere-egu24-14673 　

  8. Digital twin paradigm for coastal disaster risk reduction and resilience

    Shunichi Koshimura, Nobuhito Mori, Naotaka Chikasada, Keiko Udo, Junichi Ninomiya, Yoshihiro Okumura, Erick Mas

    Probabilistic Tsunami Hazard and Risk Analysis　543-559　2025

    Publisher: Elsevier

    DOI： 10.1016/b978-0-443-18987-6.00024-5 　

  9. Reinforcement learning-based tsunami evacuation guidance system

    Erick Mas, Luis Moya, Edgard Gonzales, Shunichi Koshimura

    International Journal of Disaster Risk Reduction　2024/12

    DOI： 10.1016/j.ijdrr.2024.105023 　

  10. Feasibility of anomalous event detection based on Mobile Spatial Statistics: A study of six cases in Japan

    Erick Mas, Shunichi Koshimura

    International Journal of Disaster Risk Reduction　2024/08

    DOI： 10.1016/j.ijdrr.2024.104625 　

  11. Understanding Tsunami Evacuation via a Social Force Model While Considering Stress Levels Using Agent-Based Modelling

    Constanza Flores, Han Soo Lee, Erick Mas

    Sustainability　2024/05/20

    DOI： 10.3390/su16104307 　

  12. Evaluation of Simulated SAR images for building damage classification

    Yudai Ezaki, Chia Yee Ho, Bruno Adriano, Erick Mas, Shunichi Koshimura

    IEEE Geoscience and Remote Sensing Letters　2024

    DOI： 10.1109/LGRS.2024.3520251 　

  13. Multiple Hazards and Population Change in Japan's Suzu City after the 2024 Noto Peninsula Earthquake

    Shohei Nagata, Erick Mas, Yuriko Takeda, Tomoki Nakaya, Shunichi Koshimura

    2024

    Publisher: Elsevier BV

    DOI： 10.2139/ssrn.4853994 　

  14. A Study on Digital Model for Decision-Making in Crisis Response

    Naoko Kosaka, Shuji Moriguchi, Akihiro Shibayama, Tsuneko Kura, Naoko Shigematsu, Kazuki Okumura, Erick Mas, Makoto Okumura, Shunichi Koshimura, Kenjiro Terada, Akinori Fujino, Hiroshi Matsubara, Masaki Hisada

    Journal of Disaster Research　19　(3)　489-500　2024

    DOI： 10.20965/jdr.2024.p0489 　

    ISSN： 1881-2473

    eISSN： 1883-8030

  15. Exploring the feasibility of Ray Tracing SAR simulation on building damage assessment

    Chia Yee Ho, Erick Mas, Bruno Adriano, Shunichi Koshimura

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing　1-15　2024

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI： 10.1109/jstars.2024.3418412 　

    ISSN： 1939-1404

    eISSN： 2151-1535

  16. Building Damage Mapping of the 2024 Noto Peninsula Earthquake, Japan, Using Semi-Supervised Learning and VHR Optical Imagery

    Sesa Wiguna, Bruno Adriano, Ruben Vescovo, Erick Mas, Ayumu Mizutani, Shunichi Koshimura

    IEEE Geoscience and Remote Sensing Letters　21　1-5　2024

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI： 10.1109/lgrs.2024.3407725 　

    ISSN： 1545-598X

    eISSN： 1558-0571

  17. Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings

    Sesa Wiguna, Bruno Adriano, Erick Mas, Shunichi Koshimura

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing　2024

    DOI： 10.1109/JSTARS.2024.3367853 　

  18. Estimation of the Seismic Source of the 1974 Lima Peru Earthquake and Tsunami (Mw 8.1)

    Cesar Jimenez, Jorge Morales, Miguel Estrada, Bruno Adriano, Erick Mas, Shunichi Koshimura

    Journal of Disaster Research　18　(8)　825-834　2023/12/01

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2023.p0825 　

    ISSN： 1881-2473

    eISSN： 1883-8030

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    In this investigation, we have conducted a long period teleseismic and tsunami waveform inversion to obtain the slip distribution of the 1974 Lima-Perú earthquake occurred in the central region of Peru. According to teleseismic inversion, the rupture process was complex with a duration of 90 s approximately and the main asperity was located in the northern side of the rupture geometry, offshore Lima and Callao. According to tsunami waveform inversion the main asperity was located in the southern side of the fault plane, offshore Cañete. However, a joint inversion of teleseismic and tsunami waveforms averaged the contribution of the two datasets and could give a better result. The maximum slip from the joint inversion was 7.25 m, and the moment magnitude was Mw 8.1. Despite the occurrence of this earthquake (almost 50 years ago), there is a high seismic potential to trigger a tsunamigenic earthquake in the central region of Peru. According to the interseismic coupling the next earthquake in the central region of Peru is ready to occur and it would be of 8.5–8.8 Mw.

  19. Beyond tsunami fragility functions: experimental assessment for building damage estimation

    Ruben Vescovo, Bruno Adriano, Erick Mas, Shunichi Koshimura

    Scientific Reports　13　(1)　2023/08/31

    Publisher: Springer Science and Business Media LLC

    DOI： 10.1038/s41598-023-41047-y 　

    eISSN： 2045-2322

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    Abstract Tsunami fragility functions (TFF) are statistical models that relate a tsunami intensity measure to a given building damage state, expressed as cumulative probability. Advances in computational and data retrieval speeds, coupled with novel deep learning applications to disaster science, have shifted research focus away from statistical estimators. TFFs offer a “disaster signature” with comparative value, though these models are seldom applied to generate damage estimates. With applicability in mind, we challenge this notion and investigate a portion of TFF literature, selecting three TFFs and two application methodologies to generate a building damage estimation baseline. Further, we propose a simple machine learning method, trained on physical parameters inspired by, but expanded beyond, TFF intensity measures. We test these three methods on the 2011 Ishinomaki dataset after the Great East Japan Earthquake and Tsunami in both binary and multi-class cases. We explore: (1) the quality of building damage estimation using TFF application methods; (2) whether TFF can generalize to out-of-domain building damage datasets; (3) a novel machine learning approach to perform the same task. Our findings suggest that: both TFF methods and our model have the potential to achieve good binary results; TFF methods struggle with multiple classes and out-of-domain tasks, while our proposed method appears to generalize better.

  20. Digital twin computing for enhancing resilience of disaster response system

    Shunichi Koshimura, Erick Mas

    2023/05/15

    DOI： 10.5194/egusphere-egu23-11756 　

  21. A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies

    Daiki Hachiya, Erick Mas, Shunichi Koshimura

    Applied Sciences　12　(20)　10427-10427　2022/10/16

    Publisher: MDPI AG

    DOI： 10.3390/app122010427 　

    eISSN： 2076-3417

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    In large-scale disasters, such as earthquakes and tsunamis, quick and sufficient transportation of emergency relief supplies is required. Logistics activities conducted to quickly provide appropriate aid supplies (relief goods) to people affected by disasters are known as humanitarian logistics (HL), and play an important role in terms of saving the lives of those affected. In the previous last-mile distribution of HL, supplies are transported by trucks and helicopters, but these transport methods are sometimes not feasible. Therefore, the use of unmanned aerial vehicles (UAVs) to transport supplies is attracting attention due to their convenience regardless of the disaster conditions. However, existing transportation planning that utilizes UAVs may not meet some of the requirements for post-disaster transport of supplies. Equitable distribution of supplies among affected shelters is particularly important in a crisis situation, but it has not been a major consideration in the logistics of UAVs in the existing study. Therefore, this study proposes transportation planning by introducing three crucial performance metrics: (1) the rapidity of supplies, (2) the urgency of supplies, and (3) the equity of supply amounts. We formulated the routing problem of UAVs as the multi-objective, multi-trip, multi-item, and multi-UAV problem, and optimize the problem with Q-learning (QL), one of the reinforcement learning methods. We performed reinforcement learning for multiple cases with different rewards and quantitatively evaluated the transportation of each countermeasure by comparing them. The results suggest that the model improved the stability of the supply of emergency relief supplies to all evacuation centers when compared to other models.

  22. Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru

    Luis Moya, Fernando Garcia, Carlos Gonzales, Miguel Diaz, Carlos Zavala, Miguel Estrada, Fumio Yamazaki, Shunichi Koshimura, Erick Mas, Bruno Adriano

    Natural Hazards and Earth System Sciences　22　(1)　65-70　2022/01/12

    Publisher: Copernicus GmbH

    DOI： 10.5194/nhess-22-65-2022 　

    eISSN： 1684-9981

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    Abstract. Lima, Peru's capital, has about 9.6 million inhabitants and keeps attracting more residents searching for a better life. Many citizens, without access to housing subsidies, live in informal housing and shack settlements. A typical social phenomenon in Lima is the sudden illegal occupation of areas for urban settlements. When such areas are unsafe against natural hazards, it is important to relocate such a population to avoid significant future losses. In this communication, we present an application of Sentinel-1 synthetic aperture radar (SAR) images to map the extension of a recent occupation of an area with unfavorable soil conditions against earthquakes.

  23. Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model

    Luis Moya, Erick Mas, Shunichi Koshimura

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing　15　9062-9072　2022

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI： 10.1109/jstars.2022.3215719 　

    ISSN： 1939-1404

    eISSN： 2151-1535

  24. Modeling search and rescue, medical disaster team response and transportation of patients in Ishinomaki city after tsunami disaster

    Erick Mas, Shinichi Egawa M.D., Hiroyuki Sasaki M.D., Shunichi Koshimura

    E3S Web of Conferences　340　05001-05001　2022

    Publisher: EDP Sciences

    DOI： 10.1051/e3sconf/202234005001 　

    eISSN： 2267-1242

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    The 2011 Great East Japan Earthquake caused massive devastation and numerous affected people. In particular, the Ishinomaki area of the Miyagi Prefecture was one of the hardest hit areas during the event. In addition, due to tsunami inundation, several medical facilities were destroyed or inactive at the time. The Ishinomaki Red Cross Hospital served as the last bastion to respond and attend injuries and illnesses in the disaster. We aim to build an agent-based model of triage and transportation of patients to the hospital. The individual and joint activities of response teams were considered to build the agent architecture and they were incorporated into the model. We model the first three days of response activities within the central Ishinomaki area and evaluated the number of patients transported to the hospital including their evaluated health status. We discuss here the case closest to the 2011 event and evaluate the strategies for search and rescue and patient transportation to speed up medical response in the aftermath of a disaster.

  25. Model-based analysis of multi-UAV path planning for surveying postdisaster building damage

    Ryosuke Nagasawa, Erick Mas, Luis Moya, Shunichi Koshimura

    Scientific Reports　11　(1)　2021/12

    DOI： 10.1038/s41598-021-97804-4 　

    eISSN： 2045-2322

  26. Method to extract difficult-to-evacuate areas by using tsunami evacuation simulation and numerical analysis

    Eri Ito, Takato Kosaka, Michinori Hatayama, Luisa Urra, Erick Mas, Shunichi Koshimura

    International Journal of Disaster Risk Reduction　64　2021/10

    DOI： 10.1016/j.ijdrr.2021.102486 　

    ISSN： 2212-4209

  27. Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms: Demonstration of sen1floods11 benchmark datasets

    Yanbing Bai, Wenqi Wu, Zhengxin Yang, Jinze Yu, Bo Zhao, Xing Liu, Hanfang Yang, Erick Mas, Shunichi Koshimura

    Remote Sensing　13　(11)　NA　2021/06/01

    DOI： 10.3390/rs13112220 　

    eISSN： 2072-4292

  28. Applicability of Calculation Formulae of Impact Force by Tsunami Driftage

    Yoshimichi Yamamoto, Yuji Kozono, Erick Mas, Fumiya Murase, Yoichi Nishioka, Takako Okinaga, Masahide Takeda

    Journal of Marine Science and Engineering　2021/05/01

    DOI： 10.3390/jmse9050493 　

  29. The potential role of news media to construct a machine learning based damage mapping framework

    Genki Okada, Luis Moya, Erick Mas, Shunichi Koshimura

    Remote Sensing　13　(7)　2021/04

    DOI： 10.3390/rs13071401 　

    eISSN： 2072-4292

  30. A comparative analysis of empirical and analytical tsunami fragility functions for buildings in Tumaco, Colombia

    Juan Paez-Ramirez, Juan Lizarazo, Sergio Medina, Miguel Rivas, Patricia Luna, Erick Mas, Shunichi Koshimura

    IOP Conference Series: Earth and Environmental Science　630　(1)　2021/01/12

    DOI： 10.1088/1755-1315/630/1/012008 　

    ISSN： 1755-1307

    eISSN： 1755-1315

  31. Development of calibrated tsunami evacuation models through real-world collected data: The case study of Coquimbo-La Serena, Chile

    Jorge León, Erick Mas, Patricio A. Catalán, Luis Moya, Alejandra Gubler, Shunichi Koshimura, Rodrigo Cienfuegos

    IOP Conference Series: Earth and Environmental Science　630　(1)　2021/01/12

    DOI： 10.1088/1755-1315/630/1/012005 　

    ISSN： 1755-1307

    eISSN： 1755-1315

  32. Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification

    Luis Moya, Christian Geiss, Masakazu Hashimoto, Erick Mas, Shunichi Koshimura, Gunter Strunz

    IEEE Transactions on Geoscience and Remote Sensing　1-17　2021

    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    DOI： 10.1109/tgrs.2020.3046004 　

    ISSN： 0196-2892

    eISSN： 1558-0644

  33. Pyramid pooling module-based semi-siamese network: A benchmark model for assessing building damage from xbd satellite imagery datasets

    Yanbing Bai, Junjie Hu, Jinhua Su, Xing Liu, Haoyu Liu, Xianwen He, Shengwang Meng, Erick Mas, Shunichi Koshimura

    Remote Sensing　12　(24)　1-20　2020/12/02

    DOI： 10.3390/rs12244055 　

    eISSN： 2072-4292

  34. Advances of International Collaboration on M9 Disaster Science: Scientific Session Report

    Elizabeth Maly, Kenjiro Terada, Randall J. LeVeque, Naoko Kuriyama, Daniel B. Abramson, Lan T. Nguyen, Ann Bostrom, Jorge León, Michael Motley, Patricio A. Catalan, Shunichi Koshimura, Shuji Moriguchi, Yuya Yamaguchi, Carrie Garrison-Laney, Anawat Suppasri, Erick Mas

    Journal of Disaster Research　15　(7)　890-899　2020/12/01

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2020.p0890 　

    ISSN： 1881-2473

    eISSN： 1883-8030

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    The goal of the Scientific Session: “Advances of International Collaboration on M9 Disaster Science” at the 2nd World Bosai Forum (WBF) in Sendai in November 2019 was to share progress on research projects and findings related to an M9 mega-disaster event, building on outcomes from a March 2019 collaborative workshop on M9 disaster science between research partners from the International Research Institute of Disaster Science (IRIDeS)/Tohoku University, University of Washington-Seattle (UW), and the Research Center for Integrated Disaster Risk Management (CIGIDEN). This paper reports on the presentations during the WBF Scientific Session, which shared updates and outputs of research collaborations from different disciplines, following the themes of risk-based planning, structural engineering, tsunami observation and early warning, and tsunami simulation and probabilistic tsunami risk assessment. This international and cross-disciplinary collaboration has led to the advancement of a number of specific research projects in different fields, as well as a robust network of researchers in the three countries. Based in coastal regions facing similar risks of massive earthquakes and tsunami in Japan, the United States, and Chile, it is hoped that ongoing and future collaboration within this network will continue to advance knowledge of disaster science and international disaster risk reduction.

  35. Combination of school evacuation drill with tsunami inundation simulation: Consensus-making between disaster experts and citizens on an evacuation strategy

    Genta Nakano, Katsuya Yamori, Takuya Miyashita, Luisa Urra, Erick Mas, Shunichi Koshimura

    International Journal of Disaster Risk Reduction　51　101803-101803　2020/12

    Publisher: Elsevier BV

    DOI： 10.1016/j.ijdrr.2020.101803 　

    ISSN： 2212-4209

  36. Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset

    Jinhua Su, Yanbing Bai, Xingrui Wang, Dong Lu, Bo Zhao, Hanfang Yang, Erick Mas, Shunichi Koshimura

    Remote Sensing　12　(22)　3808-3808　2020/11/20

    Publisher: MDPI AG

    DOI： 10.3390/rs12223808 　

    eISSN： 2072-4292

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    Earth Observation satellite imaging helps building diagnosis during a disaster. Several models are put forward on the xBD dataset, which can be divided into two levels: the building level and the pixel level. Models from two levels evolve into several versions that will be reviewed in this paper. There are four key challenges hindering researchers from moving forward on this task, and this paper tries to give technical solutions. First, metrics on different levels could not be compared directly. We put forward a fairer metric and give a method to convert between metrics of two levels. Secondly, drone images may be another important source, but drone data may have only a post-disaster image. This paper shows and compares methods of directly detecting and generating. Thirdly, the class imbalance is a typical feature of the xBD dataset and leads to a bad F1 score for minor damage and major damage. This paper provides four specific data resampling strategies, which are Main-Label Over-Sampling (MLOS), Discrimination After Cropping (DAC), Dilation of Area with Minority (DAM) and Synthetic Minority Over-Sampling Technique (SMOTE), as well as cost-sensitive re-weighting schemes. Fourthly, faster prediction meets the need for a real-time situation. This paper recommends three specific methods, feature-map subtraction, parameter sharing, and knowledge distillation. Finally, we developed our AI-driven Damage Diagnose Platform (ADDP). This paper introduces the structure of ADDP and technical details. Customized settings, interface preview, and upload and download satellite images are major services our platform provides.

  37. Tsunami hazard assessment for the central and southern pacific coast of Colombia

    Ronald Sanchez Escobar, Luis Otero Diaz, Anlly Melissa Guerrero, Milton Puentes Galindo, Erick Mas, Shunichi Koshimura, Bruno Adriano, Luisa Urra, Paola Quintero

    Coastal Engineering Journal　1-13　2020/09/23

    Publisher: Informa UK Limited

    DOI： 10.1080/21664250.2020.1818362 　

    ISSN： 2166-4250

    eISSN： 1793-6292

  38. Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon Peer-reviewed

    Luis Moya, Erick Mas, Shunichi Koshimura

    Remote Sensing　12　(14)　2244-2244　2020/07/13

    Publisher: MDPI AG

    DOI： 10.3390/rs12142244 　

    eISSN： 2072-4292

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    Applications of machine learning on remote sensing data appear to be endless. Its use in damage identification for early response in the aftermath of a large-scale disaster has a specific issue. The collection of training data right after a disaster is costly, time-consuming, and many times impossible. This study analyzes a possible solution to the referred issue: the collection of training data from past disaster events to calibrate a discriminant function. Then the identification of affected areas in a current disaster can be performed in near real-time. The performance of a supervised machine learning classifier to learn from training data collected from the 2018 heavy rainfall at Okayama Prefecture, Japan, and to identify floods due to the typhoon Hagibis on 12 October 2019 at eastern Japan is reported in this paper. The results show a moderate agreement with flood maps provided by local governments and public institutions, and support the assumption that previous disaster information can be used to identify a current disaster in near-real time.

  39. Tsunamis in Latin American countries

    Erick Mas, Shunichi Koshimura

    Coastal Engineering Journal　62　(3)　349　2020/07/02

    DOI： 10.1080/21664250.2020.1798147 　

    ISSN： 2166-4250

    eISSN： 1793-6292

  40. Learning from the 2018 Western Japan heavy rains to detect floods during the 2019 Hagibis Typhoon Peer-reviewed

    Luis Moya, Erick Mas, Shunichi Koshimura

    Remote Sensing　12　(14)　2020/07/01

    DOI： 10.3390/rs12142244 　

    eISSN： 2072-4292

  41. Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami Peer-reviewed

    Erick Mas, Ryan Paulik, Kwanchai Pakoksung, Bruno Adriano, Luis Moya, Anawat Suppasri, Abdul Muhari, Rokhis Khomarudin, Naoto Yokoya, Masashi Matsuoka, Shunichi Koshimura

    PURE AND APPLIED GEOPHYSICS　177　(6)　2437-2455　2020/06

    DOI： 10.1007/s00024-020-02501-4 　

    ISSN： 0033-4553

    eISSN： 1420-9136

  42. Detecting urban changes using phase correlation and l(1)-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami Peer-reviewed

    Luis Moya, Abdul Muhari, Bruno Adriano, Shunichi Koshimura, Erick Mas, Luis R. Marval-Perez, Naoto Yokoya

    REMOTE SENSING OF ENVIRONMENT　242　2020/06

    DOI： 10.1016/j.rse.2020.111743 　

    ISSN： 0034-4257

    eISSN： 1879-0704

  43. Tsunami Damage Detection with Remote Sensing: A Review Peer-reviewed

    Shunichi Koshimura, Luis Moya, Erick Mas, Yanbing Bai

    Geosciences　10　(5)　177-177　2020/05/12

    Publisher: MDPI AG

    DOI： 10.3390/geosciences10050177 　

    eISSN： 2076-3263

    More details Close

    Tsunamis are rare events compared with the other natural disasters, but once it happens, it can be extremely devastating to the coastal communities. Extensive inland penetration of tsunamis may cause the difficulties of understanding its impact in the aftermath of its generation. Therefore the social needs to technologies of detecting the wide impact of great tsunamis have been increased. Recent advances of remote sensing and technologies of image analysis meet the above needs and lead to more rapid and efficient understanding of tsunami affected areas. This paper provides a review of how remote sensing methods have developed to contribute to post-tsunami disaster response. The evaluations in the performances of the remote sensing methods are discussed according to the needs of tsunami disaster response with future perspective.

  44. A comparative study of empirical and analytical fragility functions for the assessment of tsunami building damage in Tumaco, Colombia Peer-reviewed

    Juan Paez-Ramirez, Juan Lizarazo-Marriaga, Sergio Medina, Martin Estrada, Erick Mas, Shunichi Koshimura

    Coastal Engineering Journal　2020

    DOI： 10.1080/21664250.2020.1726558 　

    ISSN： 2166-4250

    eISSN： 1793-6292

  45. Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in japan Peer-reviewed

    Luis Moya, Erick Mas, Fumio Yamazaki, M. Eeri, Wen Liu, Shunichi Koshimura

    Earthquake Spectra　36　(1)　209-231　2020

    DOI： 10.1177/8755293019892423 　

    ISSN： 8755-2930

  46. Drawback in the change detection approach: False detection during the 2018 western Japan floods Peer-reviewed

    Luis Moya, Yukio Endo, Genki Okada, Shunichi Koshimura, Erick Mas

    Remote Sensing　11　(19)　2019/10/01

    DOI： 10.3390/rs11192320 　

    eISSN： 2072-4292

  47. Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA) Peer-reviewed

    Mas Erick, Felsenstein Daniel, Moya Luis, YairGrinberger A, Das Rubel, Koshimura Shunichi

    JOURNAL OF DISASTER RESEARCH　13　(7)　1257-1271　2018/12

    DOI： 10.20965/jdr.2018.p1257 　

    ISSN： 1881-2473

    eISSN： 1883-8030

  48. New Insights into Multiclass Damage Classification of Tsunami-Induced Building Damage from SAR Images Peer-reviewed

    Yukio Endo, Bruno Adriano, Erick Mas, Shunichi Koshimura

    Remote Sensing　10　(12)　2018/12

    DOI： 10.3390/rs10122059 　

    ISSN： 2072-4292

  49. Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami Peer-reviewed

    Bai Yanbing, Mas Erick, Koshimura Shunichi

    Remote Sensing　10　(10)　2018/10

    DOI： 10.3390/rs10101626 　

    ISSN： 2072-4292

    eISSN： 2072-4292

  50. Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake Peer-reviewed

    Luis Moya, Erick Mas, Shunichi Koshimura, Fumio Yamazaki

    International Journal of Disaster Risk Reduction　31　76-84　2018/10

    DOI： 10.1016/j.ijdrr.2018.04.016 　

    ISSN： 2212-4209

  51. Introduction to SI: Modeling urban resilience to disasters Peer-reviewed

    Felsenstein, D., Mas, E.

    International Journal of Disaster Risk Reduction　31　602-603　2018/10

    DOI： 10.1016/j.ijdrr.2018.07.002 　

    ISSN： 2212-4209

  52. An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves Peer-reviewed

    Luis Moya, Erick Mas, Bruno Adriano, Shunichi Koshimura, Fumio Yamazaki, Wen Liu

    International Journal of Disaster Risk Reduction　31　1374-1384　2018/10

    DOI： 10.1016/j.ijdrr.2018.03.034 　

    ISSN： 2212-4209

  53. Identifying building damage patterns in the 2016 Meinong, Taiwan earthquake using post-event dual-polarimetric ALOS-2/PALSAR-2 imagery Peer-reviewed

    Bai Y, Adriano B, Mas E, Koshimura S

    Journal of Disaster Research　13　(2)　291-302　2018/03

    DOI： 10.20965/jdr.2018.p0291 　

    ISSN： 1881-2473

    eISSN： 1883-8030

  54. Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions Peer-reviewed

    Luis Moya, Luis Marval Perez, Erick Mas, Bruno Adriano, Shunichi Koshimura, Fumio Yamazaki

    Remote Sensing　10　(2)　2018/02/14

    DOI： 10.3390/rs10020296 　

    ISSN： 2072-4292

  55. Tsunami Source Inversion Using Tide Gauge and DART Tsunami Waveforms of the 2017 Mw8.2 Mexico Earthquake Peer-reviewed

    Bruno Adriano, Yushiro Fujii, Shunichi Koshimura, Erick Mas, Angel Ruiz-Angulo, Miguel Estrada

    Pure and Applied Geophysics　175　(1)　35-48　2018/01/16

    DOI： 10.1007/s00024-017-1760-2 　

    ISSN： 0033-4553

  56. A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks Peer-reviewed

    Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura

    IEEE Geoscience and Remote Sensing Letters　15　(1)　43-47　2018/01

    DOI： 10.1109/LGRS.2017.2772349 　

    ISSN： 1545-598X

  57. The coastal environment and the reconstruction process after the Great East Japan Earthquake: A few notes Peer-reviewed

    Vicente Santiago-Fandiño, Erick Mas

    Advances in Natural and Technological Hazards Research　47　291-338　2018

    Publisher: Springer Netherlands

    DOI： 10.1007/978-3-319-58691-5_18 　

    ISSN： 2213-6959 1878-9897

  58. Tsunami Evacuation in the Pacific and Caribbean Coast of Colombia Peer-reviewed

    Mas, E, Adriano, B, Sanchez, R, Murao, O, Koshimura, S

    Proceeding of the 16th World Conference on Earthquake Engineering　No.2743-No.2743　2017/01

  59. Understanding the Extreme Tsunami Inundation in Onagawa Town by the 2011 Tohoku Earthquake, Its Effects in Urban Structures and Coastal Facilities Peer-reviewed

    Bruno Adriano, Satomi Hayashi, Hideomi Gokon, Erick Mas, Shunichi Koshimura

    COASTAL ENGINEERING JOURNAL　58　(4)　2016/12

    DOI： 10.1142/S0578563416400131 　

    ISSN： 0578-5634

    eISSN： 1793-6292

  60. Revisiting the 2001 Peruvian earthquake and Tsunami impact along camana beach and the coastline using numerical modeling and satellite imaging

    Bruno Adriano, Erick Mas, Shunichi Koshimura, Yushiro Fujii, Hideaki Yanagisawa, Miguel Estrada

    Coastal Research Library　14　1-16　2016

    DOI： 10.1007/978-3-319-28528-3_1 　

    ISSN： 2211-0577

    eISSN： 2211-0585

  61. Developing a building damage function using SAR images and post-event data after the Typhoon Haiyan in The Philippines Peer-reviewed

    Bruno ADRIANO, Erick MAS, Shunichi KOSHIMURA

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　71　(2)　I{\_}1729-I{\_}1734　2015

    Publisher: Japan Society of Civil Engineers

    DOI： 10.2208/kaigan.71.i_1729 　

  62. Human loss due to storm surge disaster caused by typhoon Haiyan in the coastal region of Leyte island Peer-reviewed

    KURE Shuichi, SUPPASRI Anawat, YI Carine J, MAS Erick, BRICKER Jeremy D, KOSHIMURA Shunichi, MANO Akira

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　70　(2)　I{\_}1446-I_1450　2014/11

    Publisher: Japan Society of Civil Engineers

    DOI： 10.2208/kaigan.70.I_1446 　

    ISSN： 1884-2399

    More details Close

    Super Typhoon Haiyan that struck the Philippines on November 8, 2013 caused over 7,000 casualties by remarkably high wind speed, storm surges and waves. In this paper, characteristics of human loss in the coastal region of Leyte Island, Philippines were investigated based on the relationship between the observed inundation height and depth and the number of deaths and missing people in each barangay. From the analysis, barangays with more than 10 % of the fatality ratio were found along the coastal areas in Tacloban city and Palo and Tanauan municipalities. It was found that the scale of human damage caused by Haiyan is similar to that caused by any other historical tsunami disaster, clearly indicating the massive external force of the storm surge during the Haiyan event and the vulnerability of those coastal areas.

  63. Tsunami evacuation simulation – Case studies for tsunami mitigation at Indonesia, Thailand and Japan Peer-reviewed

    Mas, E, Koshimura, S, Imamura, F, Muhari, A, Adriano, B, Suppasri, A

    SIMULTECH2014　2014

  64. Spatial Variation of Damage due to Storm Surge and Waves during Typhoon Haiyan in the Philippines Peer-reviewed

    Jeremy D. BRICKER, Hiroshi TAKAGI, Erick MAS, Shuichi KURE, Bruno ADRIANO, Carine YI, Volker ROEBER

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　70　(2)　I{\_}231-I{\_}235　2014

    Publisher: Japan Society of Civil Engineers

    DOI： 10.2208/kaigan.70.i_231 　

  65. Simulation of Tsunami inundation in central Peru from future megathrust earthquake scenarios Peer-reviewed

    Mas, E., Adriano, B., Pulido, N., Jimenez, C., Koshimura, S.

    Journal of Disaster Research　9　(6)　961-967　2014

  66. Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions Peer-reviewed

    Bruno Adriano, Graduate School of Engineering, Tohoku University, Aoba 468-1-E301, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Erick Mas, Shunichi Koshimura, Miguel Estrada, Cesar Jimenez, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Japan, Japan-Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), National University of Engineering, Lima, Perú, Dirección de Hidrografía y Navegación, DHN, Callao, Perú, Fenlab, Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Perú

    Journal of Disaster Research　9　(6)　968-975　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0968 　

  67. Improving Tsunami Numerical Simulation with the Time-Dependent Building Destruction Model Peer-reviewed

    HAYASHI Satomi, ADRIANO Bruno, MAS Erick, KOSHIMURA Shunichi

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　70　(2)　I{\_}346-I_350　2014

    Publisher: Japan Society of Civil Engineers

    DOI： 10.2208/kaigan.70.I_346 　

    ISSN： 1884-2399

    More details Close

    Tsunami flow velocity on land is important for estimating tsunami load on structures. Numerical simulation is widely used to estimate tsunami load with flow velocity estimation. However, the simulation results have not been validated sufficiently because of the lack of observed information. In this study, through several case studies incorporating different initial and boundary conditions, authors simulated the 2011 Tohoku tsunami to discuss its verification with particular regard to tsunami inundation velocities. To better simulate tsunami inundation velocities, authors developed the tsunami run-up model with time-dependent building destruction model.

  68. Development of Building Height Data in Peru from High-Resolution SAR Imagery Peer-reviewed

    Wen Liu, Graduate School of Engineering, Chiba University, 1-33 Yayoi-cho, Inageku, Chiba 263-8522, Japan, Fumio Yamazaki, Bruno Adriano, Erick Mas, Shunichi Koshimura, Graduate School of Engineering, Tohoku University, Sendai, Japan, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan

    Journal of Disaster Research　9　(6)　1042-1049　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p1042 　

  69. Development of building height data from high-resolution SAR imagery and building footprint Peer-reviewed

    Yamazaki, F., Liu, W, Mas, Erick, Koshimura, Shunichi

    Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures　5493-5498　2014/01

    Publisher: CRC Press

    DOI： 10.1201/b16387-798 　

  70. Field survey and damage inspection after the 2013 Typhoon Haiyan in The Philippines Peer-reviewed

    Erick MAS, Shuichi KURE, Jeremy D. BRICKER, Bruno ADRIANO, Carine YI, Anawat SUPPASRI, Shunichi KOSHIMURA

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　70　(2)　I{\_}1451-I{\_}1455　2014

    Publisher: Japan Society of Civil Engineers

    DOI： 10.2208/kaigan.70.i_1451 　

  71. Evaluation of present tsunami evacuation situation in Thailand Peer-reviewed

    Suppasri, A, Mas, E, Srivihok, P, Sawatdiraksa, S, Abe, Y, Koshimura, S, Imamura, F

    4th National Convention on Water Resource Engineering, Thailand (WRECON2013)　2013/09/05

  72. Salinity in Soils and Tsunami Deposits in Areas Affected by the 2010 Chile and 2011 Japan Tsunamis Peer-reviewed

    Takumi Yoshii, Masahiro Imamura, Masafumi Matsuyama, Syunichi Koshimura, Masashi Matsuoka, Erick Mas, Cesar Jimenez

    PURE AND APPLIED GEOPHYSICS　170　(6-8)　1047-1066　2013/06

    DOI： 10.1007/s00024-012-0530-4 　

    ISSN： 0033-4553

    eISSN： 1420-9136

  73. Feasibility of evacuation at the Pakarang Cape in Thailand based on tsunami inundation model and human evacuation simulation Peer-reviewed

    Mas, E, Suppasri, A, Srivihok, P, Koshimura, S, Imamura, F

    10th International Conference on Urban Earthquake Engineering　2013/03/02

  74. An Integrated Simulation of Tsunami Hazard and Human Evacuation in La Punta, Peru Peer-reviewed

    Erick Mas, Laboratory of Remote Sensing and Geoinformatics for Disaster Management, International Research Institute of Disaster Science, Tohoku University, Aoba 6-6-3, Sendai 980-8579, Japan, Bruno Adriano, Shunichi Koshimura

    Journal of Disaster Research　8　(2)　285-295　2013/03/01

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2013.p0285 　

  75. Tsunami inundation mapping in lima, for two tsunami source scenarios Peer-reviewed

    Adriano, B., Mas, E., Koshimura, S., Fujii, Y., Yauri, S., Jimenez, C., Yanagisawa, H.

    Journal of Disaster Research　8　(2)　274-284　2013

  76. Development of building height data from high-resolution SAR imagery and building footprint Peer-reviewed

    F. Yamazaki, W. Liu, E. Mas, S. Koshimura

    Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013　5493-5498　2013

  77. An integrated simulation of tsunami hazard and human evacuation in La Punta, Peru Peer-reviewed

    Mas, E., Adriano, B., Koshimura, S.

    Journal of Disaster Research　8　(2)　285-295　2013

  78. Lessons Learned from the 2011 Great East Japan Tsunami: Performance of Tsunami Countermeasures, Coastal Buildings, and Tsunami Evacuation in Japan Peer-reviewed

    Anawat Suppasri, Nobuo Shuto, Fumihiko Imamura, Shunichi Koshimura, Erick Mas, Ahmet Cevdet Yalciner

    Pure and Applied Geophysics　170　(6-8)　993-1018　2013

    DOI： 10.1007/s00024-012-0511-7 　

    ISSN： 0033-4553 1420-9136

    eISSN： 1420-9136

  79. Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami Peer-reviewed

    Anawat Suppasri, Erick Mas, Ingrid Charvet, Rashmin Gunasekera, Kentaro Imai, Yo Fukutani, Yoshi Abe, Fumihiko Imamura

    Natural Hazards　66　(2)　319-341　2013

    DOI： 10.1007/s11069-012-0487-8 　

    ISSN： 0921-030X

  80. Tsunami inundation mapping in lima, for two tsunami source scenarios Peer-reviewed

    Adriano, B., Mas, E., Koshimura, S., Fujii, Y., Yauri, S., Jimenez, C., Yanagisawa, H.

    Journal of Disaster Research　8　(2)　274-284　2013

  81. Seismic source of 1746 callao earthquake from tsunami numerical modeling Peer-reviewed

    Jimenez, C., Moggiano, N., Mas, E., Adriano, B., Koshimura, S., Fujii, Y., Yanagisawa, H.

    Journal of Disaster Research　8　(2)　266-273　2013

    DOI： 10.20965/jdr.2013.p0266 　

  82. Review of tsunami fragility curves developed for countries around the Pacific Rim Peer-reviewed

    Mas, E, Suppasri, A, Koshimura, S, Imamura, F

    8th APRU Research Symposium on Multi-hazards around the Pacific Rim　2012/09/21

  83. Tsunami arrival time characteristics of the 2011 East Japan Tsunami obtained from eyewitness accounts, evidence and numerical simulation Peer-reviewed

    MUHARI, Abdul, IMAMURA, Fumihiko, SUPPASRI, Anawat, MAS, Erick

    Journal of Natural Disaster Science　34　(1)　91-104　2012/07/18

    DOI： 10.2328/jnds.34.91 　

  84. Agent-based Simulation of the 2011 Great East Japan Earthquake/Tsunami Evacuation: An Integrated Model of Tsunami Inundation and Evacuation Peer-reviewed

    Mas, Erick, Suppasri, Anawat, Imamura, Fumihiko, Koshimura, Shunichi

    Journal of Natural Disaster Science　34　(1)　41-57　2012/07/12

    DOI： 10.2328/jnds.34.41 　

  85. Damage and reconstruction after the 2004 Indian Ocean tsunami and the 2011 Great East Japan tsunami Peer-reviewed

    SUPPASRI, Anawat, MUHARI, Abdul, RANASINGHE, Prasanthi, MAS, Erick, SHUTO, Nobuo, IMAMURA, Fumihiko, KOSHIMURA, Shunichi

    Journal of Natural Disaster Science　34　(1)　19-39　2012/07/12

    DOI： 10.2328/jnds.34.19 　

  86. Field survey of the coastal impact of the March 11, 2011 great East Japan tsunami

    Synolakis, C, Yalciner, F, Imamura, H, Fritz, H, Suppasri, A, Mas, E, Kalligeris, N, Necmioglu, O, Ozer, C, A. Zaytsev, A, Ayca, A, Skanavis, V, Ozel, N. M, Takahashi, S, Tomita, T, Yon, G

    EGU meeting 2012　2012/04

  87. Experience from the 2004 Indian Ocean tsunami and damage and reconstruction from the 2011 Great East Japan tsunami Peer-reviewed

    Suppasri, A, Muhari, A, Ranasinghe, P, Mas, E, Shuto, N, Imamura, F, Koshimura, S

    9th International Conference on Urban Earthquake Engineering and 4th Asia Conference on Earthquake Engineering　2012/03

  88. DAMAGE CHARACTERISTIC AND FIELD SURVEY OF THE 2011 GREAT EAST JAPAN TSUNAMI IN MIYAGI PREFECTURE Peer-reviewed

    Anawat Suppasri, Shunichi Koshimura, Kentaro Imai, Erick Mas, Hideomi Gokon, Abdul Muhari, Fumihiko Imamura

    COASTAL ENGINEERING JOURNAL　54　(1)　1250005-1-1250005-30　2012/03

    DOI： 10.1142/S0578563412500052 　

    ISSN： 0578-5634

    eISSN： 1793-6292

  89. DEVELOPING TSUNAMI FRAGILITY CURVES FROM THE SURVEYED DATA OF THE 2011 GREAT EAST JAPAN TSUNAMI IN SENDAI AND ISHINOMAKI PLAINS Peer-reviewed

    Anawat Suppasri, Erick Mas, Shunichi Koshimura, Kentaro Imai, Kenji Harada, Fumihiko Imamura

    COASTAL ENGINEERING JOURNAL　54　(1)　1250008-1-1250008-30　2012/03

    DOI： 10.1142/S0578563412500088 　

    ISSN： 0578-5634

    eISSN： 1793-6292

  90. Study on Tsunami Evacuation Building Demand through the Agent Based Simulation of Tsunami Evacuation in La Punta , Peru Peer-reviewed

    Mas Erick, Imamura Fumihiko, Koshimura Shunichi

    Japan Geoscience Union Meeting 2012　2012

  91. Tsunami disaster mitigation by integrating comprehensive countermeasures in Padang city, Indonesia Peer-reviewed

    Imamura, F., Muhari, A., Mas, E., Pradono, M.H., Post, J., Sugimoto, M.

    Journal of Disaster Research　7　(1)　48-64　2012

  92. Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato Peer-reviewed

    E. Mas, S. Koshimura, A. Suppasri, M. Matsuoka, M. Matsuyama, T. Yoshii, C. Jimenez, F. Yamazaki, F. Imamura

    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES　12　(8)　2689-2697　2012

    DOI： 10.5194/nhess-12-2689-2012 　

    ISSN： 1561-8633

  93. Amplifications of Nearshore Tsunami Parameters during Great East Japan Tsunami Peer-reviewed

    Yalciner, A.C, Ozer, C, Supprasri, A, Mas, E, Kalligeris, N, Necmioglu, O, Zaytsev, A, Imamura, F, Synolakis, C

    International Union of Geodesy and Geophysics (IUGG)　2011/07/03

  94. A SURVEY METHOD OF TSUNAMI INUNDATION AREA USING CHEMICAL COMPONENTS IN TSUNAMI INUNDATED SOIL Peer-reviewed

    YOSHII, Takumi, IMAMURA, Masahiro, MATSUYAMA, Masafumi, KOSHIMURA, Shunichi, MATSUOKA, Masashi, MAS, Erick, JIMENEZ, Cesar

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　67　(1)　49-62　2011/03/24

    DOI： 10.2208/kaigan.67.49 　

  95. Simple Chemical Analysis of Soil for Field Survey on Tsunami Peer-reviewed

    Takumi Yoshii, Masafumi Matsuyama, Masahiro Imamura, Shunichi Koshimura, Masashi Matsuoka, Erick Mas, Cesar Jimenez

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)　67　(2)　1316-1320　2011

    DOI： 10.2208/kaigan.67.I_1316 　

Show all ︎Show first 5

Misc. 52

  1. Decision-making Support Systems Using Historical Disaster Information

    倉恒子, 森口周二, MAS Erick, 越村俊一, 奥村誠, 重松直子, 藤野昭典, 清水仁, 小阪尚子, 久田正樹

    情報科学技術フォーラム講演論文集　22nd　2023

  2. Tsunamis in Latin American countries

    Erick Mas, Shunichi Koshimura

    COASTAL ENGINEERING JOURNAL　62　(3)　349-349　2020/07

    DOI： 10.1080/21664250.2020.1798147 　

    ISSN： 2166-4250

    eISSN： 1793-6292

  3. Tsunami damage detection with remote sensing: A review

    Shunichi Koshimura, Luis Moya, Erick Mas, Yanbing Bai

    Geosciences (Switzerland)　10　(5)　2020/05

    DOI： 10.3390/geosciences10050177 　

    eISSN： 2076-3263

  4. Tsunami analytical fragility curves for the Colombian Pacific coast: A reinforced concrete building example

    Sergio Medina, Juan Lizarazo-Marriaga, Martin Estrada, Shunichi Koshimura, Erick Mas, Bruno Adriano

    Engineering Structures　196　2019/10/01

    DOI： 10.1016/j.engstruct.2019.109309 　

    ISSN： 0141-0296

    eISSN： 1873-7323

  5. 3D gray level co-occurrence matrix and its application to identifying collapsed buildings

    Luis Moya, Homa Zakeri, Fumio Yamazaki, Wen Liu, Erick Mas, Shunichi Koshimura

    ISPRS Journal of Photogrammetry and Remote Sensing　149　14-28　2019/03

    DOI： 10.1016/j.isprsjprs.2019.01.008 　

    ISSN： 0924-2716

  6. Evaluation of tsunami fragility curves for building damage level allocation

    MOYA Luis, MAS Erick, KOSHIMURA Shunichi

    津波工学研究報告　(34)　33‐41-41　2017/07/31

    Publisher: 東北大学災害科学国際研究所(津波工学研究分野)

    ISSN： 0916-7099

  7. Evaluation of tsunami fragility curves for building damage level allocation

    MOYA Luis, MAS Erick, KOSHIMURA Shunichi

    津波工学研究報告 = Tsunami engineering = research report of tsunami engineering　(34)　33-41　2017/07

    Publisher: 東北大学災害科学国際研究所(津波工学研究分野)

    ISSN： 0916-7099

  8. Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake

    Yanbing Bai, Bruno Adriano, Erick Mas, Shunichi Koshimura, Graduate School of Engineering, Tohoku University 6-6-4 Aramaki-Aza Aoba, Aob-ku, Senda, Miyagi 980-8579, Japan, International Research Institute of Disaster Science, Tohoku University, Miyagi, Japan

    Journal of Disaster Research　12　(sp)　646-655　2017/06

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2017.p0646 　

    ISSN： 1881-2473

  9. BUILDING DAMAGE MAPPING USING CHANGE DETECTION OF ALOS‐2 PALSAR‐2 SAR IMAGES AND STRONG MOTION DATA

    MOYA Luis, MAS Erick, ADRIANO Bruno, ADRIANO Bruno, KOSHIMURA Shunichi, YAMAZAKI Fumio

    日本リモートセンシング学会学術講演会論文集(CD-ROM)　62nd　ROMBUNNO.D‐22　2017/05/17

  10. Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images

    Yanbing Bai, Graduate School of Engineering, Tohoku University Aoba 468-1, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Bruno Adriano, Erick Mas, Hideomi Gokon, Shunichi Koshimura, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Journal of Disaster Research　12　(2)　259-271　2017/03

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2017.p0259 　

    ISSN： 1881-2473

  11. Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images

    Yanbing Bai, Graduate School of Engineering, Tohoku University Aoba 468-1, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Bruno Adriano, Erick Mas, Hideomi Gokon, Shunichi Koshimura, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Journal of Disaster Research　12　(2)　259-271　2017/03

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2017.p0259 　

    ISSN： 1881-2473

  12. Tsunami source of the Mw7 2016 Fukushima Earthquake inferred from tide gauge and GPS buoy records

    ADRIANO Bruno, FURUYA Takasi, MAS Erick, KOSHIMURA Shunichi

    日本地球惑星科学連合大会予稿集(Web)　2017　ROMBUNNO.HDS12‐P09 (WEB ONLY)　2017

  13. Building Damage Assessment in the 2015 Gorkha, Nepal, Earthquake Using Only Post-Event Dual Polarization Synthetic Aperture Radar Imagery

    Bai Yanbing, Bruno Adriano, Erick Mas, Shunichi Koshimura

    Earthquake Spectra　33　(Special issue 1)　2017

    Publisher: Earthquake Engineering Research Institute

    DOI： 10.1193/121516eqs232m 　

    ISSN： 8755-2930

  14. Understanding the Extreme Tsunami Inundation in Onagawa Town by the 2011 Tohoku Earthquake, Its Effects in Urban Structures and Coastal Facilities

    Bruno Adriano, Satomi Hayashi, Hideomi Gokon, Erick Mas, Shunichi Koshimura

    Coastal Engineering Journal　58　(04)　1640013-1640013　2016

    Publisher: World Scientific Pub Co Pte Lt

    DOI： 10.1142/s0578563416400131 　

    ISSN： 2166-4250

  15. Understanding the Extreme Tsunami Inundation in Onagawa Town by the 2011 Tohoku Earthquake, Its Effects in Urban Structures and Coastal Facilities

    Bruno Adriano, Satomi Hayashi, Hideomi Gokon, Erick Mas, Shunichi Koshimura

    Coastal Engineering Journal　58　(04)　1640013-1640013　2016

    Publisher: World Scientific Pub Co Pte Lt

    DOI： 10.1142/s0578563416400131 　

    ISSN： 2166-4250

  16. A Decade After the 2004 Indian Ocean Tsunami: The Progress in Disaster Preparedness and Future Challenges in Indonesia, Sri Lanka, Thailand and the Maldives

    Anawat Suppasri, Kazuhisa Goto, Abdul Muhari, Prasanthi Ranasinghe, Mahmood Riyaz, Muzailin Affan, Erick Mas, Mari Yasuda, Fumihiko Imamura

    PURE AND APPLIED GEOPHYSICS　172　(12)　3313-3341　2015/12

    DOI： 10.1007/s00024-015-1134-6 　

    ISSN： 0033-4553

    eISSN： 1420-9136

  17. Storm surge mapping of typhoon Haiyan and its impact in Tanauan, Leyte, Philippines

    Carine J. Yi, Anawat Suppasri, Shuichi Kure, Jeremy D. Bricker, Erick Mas, Maritess Quimpo, Mari Yasuda

    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION　13　207-214　2015/09

    DOI： 10.1016/j.ijdrr.2015.05.007 　

    ISSN： 2212-4209

  18. Recent Advances in Agent-Based Tsunami Evacuation Simulations: Case Studies in Indonesia, Thailand, Japan and Peru

    Erick Mas, Shunichi Koshimura, Fumihiko Imamura, Anawat Suppasri, Abdul Muhari, Bruno Adriano

    Pure and Applied Geophysics　172　(12)　3409-3424　2015/05

    Publisher: Springer Nature

    DOI： 10.1007/s00024-015-1105-y 　

    ISSN： 0033-4553

  19. TSUNAMI EVACUATION PLANNING AND RESPONSE SUPPORTED BY SIMULATION TOOLS

    MAS Erick, ADRIANO Bruno, KOSHIMURA Shunichi

    日本地震工学会年次大会梗概集(CD-ROM)　11th　ROMBUNNO.B-6　2015

  20. Reconstruction process and social issues after the 1746 earthquake and tsunami in Peru: Past and present challenges after tsunami events

    Erick Mas, Bruno Adriano, Julio Kuroiwa Horiuchi, Shunichi Koshimura

    Advances in Natural and Technological Hazards Research　44　97-109　2015

    Publisher: Springer Netherlands

    DOI： 10.1007/978-3-319-10202-3_7 　

    ISSN： 2213-6959 1878-9897

  21. Field survey report and satellite image interpretation of the 2013 Super Typhoon Haiyan in the Philippines

    Mas, E., Bricker, J., Kure, S., Adriano, B., Yi, C., Suppasri, A., Koshimura, S.

    Natural Hazards and Earth System Sciences　15　(4)　805-816　2015

    DOI： 10.5194/nhess-15-805-2015 　

    ISSN： 1561-8633

  22. Buildings damage due to the 2013 Haiyan Typhoon inferred from SAR intensity images

    Bruno Adriano, Erick Mas, Shunichi Koshimura

    2015 IEEE 5TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR)　667-671　2015

    DOI： 10.1109/APSAR.2015.7306294 　

  23. DEVELOPING A METHOD FOR URBAN DAMAGE MAPPING USING RADAR SIGNATURES OF BUILDING FOOTPRINT IN SAR IMAGERY: A CASE STUDY AFTER THE 2013 SUPER TYPHOON HAIYAN

    Bruno Adriano, Erick Mas, Shunichi Koshimura, Hideomi Gokon, Wen Liu, Masashi Matsuoka

    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)　2015-November　3579-3582　2015

    DOI： 10.1109/IGARSS.2015.7326595 　

    ISSN： 2153-6996

  24. Simulation of Tsunami Inundation in Central Peru from Future Megathrust Earthquake Scenarios (Special Issue on Enhancement of Earthquake and Tsunami Disaster Mitigation Technology in Peru(2))

    Mas Erick, Adriano Bruno, Pulido Nelson

    Journal of disaster research　9　(6)　961-967　2014/12

    Publisher: Fuji Technology Press

    ISSN： 1881-2473

  25. APPLICATION OF A PHASE‐BASED CORRELATION METHOD TO EXTRACT DAMAGE AREAS, CASE OF STUDY: 2013 HAIYAN TYPHOON

    ADRIANO Bruno, GOKON Hideomi, MAS Erick, KOSHIMURA Shunichi, LIU Wen, MATSUOKA Masashi

    日本地震工学シンポジウム論文集(CD-ROM)　14th　ROMBUNNO.OS12-SAT-AM-6　2014/11/17

  26. シミュレーションと空間情報学を融合した津波被災地の被害把握

    越村俊一, ADRIANO Bruno, 郷右近英臣, MAS Erick

    日本船舶海洋工学会講演会論文集(CD-ROM)　(18)　ROMBUNNO.2014S-OS3-4　2014/05

    ISSN： 2185-1840

  27. 建物破壊状況に応じた時間発展型合成等価粗度モデルの検討

    林 里美, Adriano Bruno, Mas Erick, 越村 俊一

    津波工学研究報告 = Tsunami engineering　31　(31)　93-103　2014/03

    Publisher: 東北大学

    ISSN： 0916-7099

  28. Development of Building Height Data in Peru from High-Resolution SAR Imagery

    Wen Liu, Graduate School of Engineering, Chiba University, 1-33 Yayoi-cho, Inageku, Chiba 263-8522, Japan, Fumio Yamazaki, Bruno Adriano, Erick Mas, Shunichi Koshimura, Graduate School of Engineering, Tohoku University, Sendai, Japan, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan

    Journal of Disaster Research　9　(6)　1042-1049　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p1042 　

    ISSN： 1881-2473

  29. Simulation of Tsunami inundation in central Peru from future megathrust earthquake scenarios

    Mas, E., Adriano, B., Pulido, N., Jimenez, C., Koshimura, S.

    Journal of Disaster Research　9　(6)　961-967　2014

    DOI： 10.20965/jdr.2014.p0961 　

    ISSN： 1881-2473

  30. Tsunami Waveform Inversion of the 2007 Peru (Mw8.1) Earthquake

    Cesar Jimenez, Universidad Nacional Mayor de San Marcos, FENLAB Av Venezuela s/n, Lima, Perú, Nabilt Moggiano, Erick Mas, Bruno Adriano, Yushiro Fujii, Shunichi Koshimura, Direccion de Hidrografia y Navegacion, DHN, Chucuito-Callao, Peru, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, International Institute of Seismology and Earthquake Engineering, Building Research Institute, Ibaraki, Japan

    Journal of Disaster Research　9　(6)　954-960　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0954 　

    ISSN： 1881-2473

  31. Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions

    Bruno Adriano, Graduate School of Engineering, Tohoku University, Aoba 468-1-E301, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Erick Mas, Shunichi Koshimura, Miguel Estrada, Cesar Jimenez, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Japan, Japan-Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), National University of Engineering, Lima, Perú, Dirección de Hidrografía y Navegación, DHN, Callao, Perú, Fenlab, Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Perú

    Journal of Disaster Research　9　(6)　968-975　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0968 　

    ISSN： 1881-2473

  32. Tsunami Waveform Inversion of the 2007 Peru (Mw8.1) Earthquake

    Cesar Jimenez, Universidad Nacional Mayor de San Marcos, FENLAB Av Venezuela s/n, Lima, Perú, Nabilt Moggiano, Erick Mas, Bruno Adriano, Yushiro Fujii, Shunichi Koshimura, Direccion de Hidrografia y Navegacion, DHN, Chucuito-Callao, Peru, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, International Institute of Seismology and Earthquake Engineering, Building Research Institute, Ibaraki, Japan

    Journal of Disaster Research　9　(6)　954-960　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0954 　

    ISSN： 1881-2473

  33. Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions

    Bruno Adriano, Graduate School of Engineering, Tohoku University, Aoba 468-1-E301, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Erick Mas, Shunichi Koshimura, Miguel Estrada, Cesar Jimenez, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Japan, Japan-Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), National University of Engineering, Lima, Perú, Dirección de Hidrografía y Navegación, DHN, Callao, Perú, Fenlab, Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Perú

    Journal of Disaster Research　9　(6)　968-975　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0968 　

    ISSN： 1881-2473

  34. Tsunami Waveform Inversion of the 2007 Peru (Mw8.1) Earthquake

    Cesar Jimenez, Universidad Nacional Mayor de San Marcos, FENLAB Av Venezuela s/n, Lima, Perú, Nabilt Moggiano, Erick Mas, Bruno Adriano, Yushiro Fujii, Shunichi Koshimura, Direccion de Hidrografia y Navegacion, DHN, Chucuito-Callao, Peru, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan, International Institute of Seismology and Earthquake Engineering, Building Research Institute, Ibaraki, Japan

    Journal of Disaster Research　9　(6)　954-960　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0954 　

    ISSN： 1881-2473

    More details Close

    <p>An earthquake shook the central-southern coast of Peru on August 15, 2007, as a coseismic effect a tsunami was generated, which flooded some villages and beach resorts and killed 3 people. From the analysis and signal processing of 10 tidal records, we obtained the parameters of the seismic source and the initial coseismic deformation through an inversion modeling, in which the synthetic signals are compared with the observed signals by a non-negative least square method. The maximum slip located on the southern part of the rupture geometry is 7.0 m. The calculated scalar seismic moment is M<sub>0</sub>=1.99×10<sup>21</sup> Nm, equivalent to a magnitude of M<sub>w</sub>8.1. We used these parameters to obtain a heterogeneous seismic source model, which was used as initial condition to simulate the tsunami propagation and inundation. We used the field survey observations to validate our source model.</p>

  35. Nationwide post event survey and analysis of the 2011 Tohoku earthquake tsunami

    Nobuhito Mori, Tomoyuki Takahashi, Shun Etsu Hamaura, Kazuya Miyakawa, Katsuhiko Tanabe, Keisuke Tanaka, Mitsuyuki Tanaka, Tsukasa Watanabe, Hideo Matsutomi, Kazunori Naoe, Takuya Noumi, Erika Yamaguchi, Shoichi Ando, Yushiro Fujii, Toshihide Kashima, Yasuo Okuda, Bun'ichiro Shibazaki, Tsutomu Sakakiyama, Masafumi Matsuyama, Takumi Yoshii, Kazuhisa Goto, Takashi Aida, Yuuji Kurata, Mabumi Miyazaki, Katuya Shutou, Jun Suzuki, Hikari Takeuchi, Takayuki Nakamura, Osamu Fujiwara, Kyoko Kagohara, Haruo Kimura, Junko Komatsubara, Yukari Miyashita, Yuichi Namegaya, Yuki Sawai, Masanobu Shishikura, Koichiro Tanigawa, Hermann Fritz, Ken Ichi Uzaki, Mikio Sasaki, Masato Minami, Hitoshi Endou, Masaki Hashimoto, Yutaka Kobashigawa, Masamitsu Kumagai, Masahiro Ietsune, Kazuhiko Nakamura, Aditya Gusman, Kazuomi Hirakawa, Kei Loki, Yugo Nakamura, Takafumi Nakayama, Yuichi Nishimura, Puma Putra, Ayumi Saruwatari, Yasunori Watanabe, Tomohito Yamada, Yasunori Nabetani, Hisamichi Nobuoka, Takashi Tamada, Yuriko Matsubayashi, Toshinori Ogasawara, Shigeki Sakai, Masao Abe, Yutaka Hayashi, Hideki Iino, Kazuhiro Iwakiri, Kazuhiro Kimura, Kenji Maeda, Masami Okada, Hiroaki Tsushima, Taro Kakinuma, Kei Yamashita, Shinya Umeda, Takahiro Nakamura, Shuji Seto, Kurokawa Takahiro, Tetsuya Torayashiki, Gozo Tsujimoto, Kohji Uno, Shoichi Yoshioka, Norio Dewa, Tetsuya Hayashi, Mitsuyoshi Kitamura, Shusaku Kuroda, Akihiko Nakahira, Takeshi Nozawa, Kazuya Taniwaki, Kunio Ohtoshi, Takashi Aoyama, Tatsuo Chiba, Hiroshi Enomoto, Kazunori Hirahara, Shigeki Murai, Hiroshi Narayama, Satoshi Yamanaka, Hitoshi Yamazaki, Satoshi Yoshiiri, Ryoukei Azuma, Yasuyuki Baba

    Coastal Engineering Journal　54　(1)　2014/01/01

    DOI： 10.1142/S0578563412500015 　

    ISSN： 0578-5634

    eISSN： 1793-6292

  36. DAMAGE DETECTION DUE TO THE TYPHOON HAIYAN FROM HIGH-RESOLUTION SAR IMAGES

    Wen Liu, Masashi Matsuoka, Bruno Adriano, Erick Mas, Shunichi Koshimura

    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)　4828-4831　2014

    DOI： 10.1109/IGARSS.2014.6947575 　

    ISSN： 2153-6996

  37. EXTRACTION OF DAMAGED AREAS DUE TO THE 2013 HAIYAN TYPHOON USING ASTER DATA

    Bruno Adriano, Hideomi Gokon, Erick Mas, Shunichi Koshimura, Wen Liu, Masashi Matsuoka

    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)　2154-2157　2014

    DOI： 10.1109/IGARSS.2014.6946893 　

    ISSN： 2153-6996

  38. Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions

    Bruno Adriano, Graduate School of Engineering, Tohoku University, Aoba 468-1-E301, Aramaki, Aoba-ku, Sendai 980-0845, Japan, Erick Mas, Shunichi Koshimura, Miguel Estrada, Cesar Jimenez, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Japan, Japan-Peru Center for Earthquake Engineering and Disaster Mitigation (CISMID), National University of Engineering, Lima, Perú, Dirección de Hidrografía y Navegación, DHN, Callao, Perú, Fenlab, Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Perú

    Journal of Disaster Research　9　(6)　968-975　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p0968 　

    ISSN： 1881-2473

  39. Development of Building Height Data in Peru from High-Resolution SAR Imagery

    Wen Liu, Graduate School of Engineering, Chiba University, 1-33 Yayoi-cho, Inageku, Chiba 263-8522, Japan, Fumio Yamazaki, Bruno Adriano, Erick Mas, Shunichi Koshimura, Graduate School of Engineering, Tohoku University, Sendai, Japan, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan

    Journal of Disaster Research　9　(6)　1042-1049　2014

    Publisher: Fuji Technology Press Ltd.

    DOI： 10.20965/jdr.2014.p1042 　

    ISSN： 1881-2473

  40. Simulation of Tsunami inundation in central Peru from future megathrust earthquake scenarios

    Mas, E., Adriano, B., Pulido, N., Jimenez, C., Koshimura, S.

    Journal of Disaster Research　9　(6)　961-967　2014

    ISSN： 1881-2473

  41. Identifying evacuees’ demand of tsunami shelters using agent based simulation

    Erick Mas, Bruno Adriano, Shunichi Koshimura, Fumihiko Imamura, Julio H. Kuroiwa, Fumio Yamazaki, Carlos Zavala, Miguel Estrada

    Advances in Natural and Technological Hazards Research　35　347-358　2014

    Publisher: Springer Netherlands

    DOI： 10.1007/978-94-007-7269-4_19 　

    ISSN： 1878-9897

    eISSN： 2213-6959

  42. Damage and reconstruction after the 2004 Indian Ocean tsunami and the 2011 tohoku tsunami

    Anawat Suppasri, Abdul Muhari, Prasanthi Ranasinghe, Erick Mas, Fumihiko Imamura, Shunichi Koshimura

    Advances in Natural and Technological Hazards Research　35　321-334　2014

    Publisher: Springer Netherlands

    DOI： 10.1007/978-94-007-7269-4_17 　

    ISSN： 2213-6959 1878-9897

    eISSN： 2213-6959

  43. BASIC STUDY ON THE CONTRIBUTION OF TSUNAMI MULTILAYER PROTECTION TO TSUNAMI EVALUATION AND COASTAL COMMUNITY RESILIENCE

    MAS Erick, MUHARI Abdul, ADRIANO Bruno, KOSHIMURA Shunichi, IMAMURA Fumihiko

    Proceedings of International Sessions in Conference on Coastal Engineering, JSCE　4　85-89　2013/11

  44. TSUNAMI VULNERABILITY ASSESSMENT OF BUILDINGS USING REMOTE SENSING ANALYSIS AND NUMERICAL MODELING IN LIMA, PERU

    ADDRIANO Bruno, MAS Erick, KOSHIMURA Shunichi, FUJII Yushiro

    Proceedings of International Sessions in Conference on Coastal Engineering, JSCE　4　21-25　2013/11

  45. Tsunami inundation mapping in lima, for two tsunami source scenarios

    Adriano, B., Mas, E., Koshimura, S., Fujii, Y., Yauri, S., Jimenez, C., Yanagisawa, H.

    Journal of Disaster Research　8　(2)　274-284　2013

    DOI： 10.20965/jdr.2013.p0274 　

    ISSN： 1881-2473

  46. Tsunami inundation mapping in lima, for two tsunami source scenarios

    Adriano, B., Mas, E., Koshimura, S., Fujii, Y., Yauri, S., Jimenez, C., Yanagisawa, H.

    Journal of Disaster Research　8　(2)　274-284　2013

    ISSN： 1881-2473

  47. Development of building height data from high-resolution SAR imagery and building footprint

    F. Yamazaki, W. Liu, E. Mas, S. Koshimura

    Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013　5493-5498　2013

  48. EVALUATION OF TSUNAMI EVACUATION BUILDING DEMAND THROUGH THE MULTI‐AGENT SYSTEM SIMULATION OF RESIDENTS’ BEHAVIOR

    MAS Erick, ADRIANO Bruno, KOSHIMURA Shunichi, IMAMURA Fumihiko, KUROIWA H. Julio, YAMAZAKI Fumio, ZAVALA Carlos, ESTRADA Miguel

    Proceedings of International Sessions in Conference on Coastal Engineering, JSCE　3　61-65　2012/11

  49. DAMAGE CHARACTERISTIC AND FIELD SURVEY OF THE 2011 GREAT EAST JAPAN TSUNAMI IN MIYAGI PREFECTURE

    SUPPASRI Anawat, KOSHIMURA Shunichi, IMAI Kentaro, MAS Erick, GOKON Hideomi, MUHARI Abdul, IMAMURA Fumihiko

    Coastal Engineering Journal　54　(1)　1250005.1-1250005.30　2012/03

    ISSN： 2166-4250

  50. DEVELOPING TSUNAMI FRAGILITY CURVES FROM THE SURVEYED DATA OF THE 2011 GREAT EAST JAPAN TSUNAMI IN SENDAI AND ISHINOMAKI PLAINS

    SUPPASRI Anawat, MAS Erick, KOSHIMURA Shunichi, IMAI Kentaro, HARADA Kenji, IMAMURA Fumihiko

    Coastal Engineering Journal　54　(1)　1250008.1-1250008.16　2012/03

    ISSN： 2166-4250

  51. Tsunami Disaster Mitigation by Integrating Comprehensive Countermeasures in Padang City, Indonesia

    IMAMURA Fumihiko, MUHARI Abdul, MAS Erick, PRADONO Mulyo Harris, POST Joachim, SUGIMOTO Megumi

    Journal of Disaster Research　7　(1(CD-ROM))　48-64　2012/01

    ISSN： 1881-2473

  52. Tsunami arrival time characteristics of the 2011 East Japan Tsunami obtained from eyewitness accounts, evidence and numerical simulation

    MUHARI Abdul, IMAMURA Fumihiko, SUPPASRI Anawat, MAS Erick

    Journal of Natural Disaster Science　34　(1)　91-104　2012

    Publisher: Japan Society for Natural Disaster Science

    ISSN： 0388-4090

    More details Close

    Information on the tsunami arrival time for people located along a coastline is crucial for community-based tsunami preparedness activities. It is also important for tsunami source mechanism studies to support other field observation data such as run-up heights, co-seismic subsidence and eyewitness accounts. In this study, we reconstructed the tsunami arrival times along the east coast of Japan during the 2011 tsunami. As most of the tide gauges were damaged, first we collected and analyzed the arrival time data from equipment that survived the tsunami. The tsunami waveforms offshore were taken from six GPS buoys covering the Fukushima coastline in the south to Aomori in the north. Next, we utilized the records from stopped clocks found in the tsunami affected areas to briefly view the inundation arrival time. In addition to the observed run-up data, we used the above-mentioned arrival time information to propose and validate a new source mechanism for the 2011 Japan tsunami. The well-validated source model was then used to obtain the characteristics of the tsunami arrival time along the east coast of Japan. The results can be used as primary information for designing a community-based evacuation plan and increasing community awareness of tsunamis.

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Industrial Property Rights 2

  1. 災害評価装置，災害評価方法，及びプログラム

    鍬守直樹, 撫佐昭裕, 金城潤子, 瀧川陽平, 佐藤佳彦, 越村俊一, マス エリック

    Property Type: Patent

  2. 災害評価装置，災害評価方法，及びプログラム

    越村俊一, マスエリック, 鍬守直樹, 撫佐昭裕, 金城潤子, 瀧川陽平

    Property Type: Patent

Research Projects 3

  1. Enabling Human-Centered Digital Twin for Community Resilience Competitive

    Shunichi Koshimura, Nalini Venkatasubramanian, Erick Mas, Bruno Adriano, Shohei Nagata, Shinji Kataya, Naomichi Kuwahara, Sharad Mehrotra, Magaly Koch, Ronald Eguchi, Julie Rousseau, Zhenghui Hu, Georgiana Esquivias

    Offer Organization: Japan Science and Technology Agency (JST)

    System: Strategic International Collaborative Research Program

    Institution: International Research Institute of Disaster Science, Tohoku University

    2024/04 - 2026/03

    More details Close

    The purpose of this research project is to apply and expand the concept of “Digital Twins” to disaster science and build a “Disaster Digital Twin” (DDT) which utilizes human-centered data to improve community resilience. Specifically, the DDT and a multi-agent simulation framework developed by the Japanese team will be applied in a context of the elderly, a population with personalized care needs which is disproportionately affected by disasters. This will be done through the integration of the “CareDEX” by the U.S. team, a platform which incorporates personalized care information from responders, caregivers and the elderly, with a digital twin developed by the both teams. This integration of technology developed by the two teams is expected to enable a variety of “Virtual Disaster City” (VDC) simulations which will be useful for policy design in for the elderly with the specific needs, for example medical equipment, reduced mobility, cognitive disease, in a context of disaster resilience.

  2. Sequential decision analysis and its application to flood risk reduction and evacuation order optimization Competitive

    Erick Mas, Zhijie Dong, Bruno Adriano, Masakazu Hashimoto, Luis Moya, Tatsuhito Kono, Shunichi Koshimura, Rui Dai, Jinli Liu

    Offer Organization: Japan Science and Technology Agency

    System: Strategic International Science and Technology Cooperation Promotion Program

    Institution: Tohoku University

    2021 - 2022/03

  3. Enhancing Post-disaster Recovery by Fusion of Sensing and Simulation

    Koshimura Shunichi, WATANABE Manabu, MAS Erick

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: Tohoku University

    2013/04/01 - 2017/03/31

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    Fusion of high-performance computing and geo-informatics defeats the problem of understanding whole picture of the affected areas. In the present study, we proposed a research perspective in developing a method to search and detect the impact of tsunami disaster by integrating real-time numerical modeling, remote sensing, natural language processing and GIS technologies. The method was verified through a series of case studies of tsunami inundation simulation, structural damage estimation, and web-news' text data analysis to to grasp the sequence of a disaster situation.