FUKUI Nobuki

写真a

Affiliation Department

社会工学科
工学専攻 環境都市プログラム

From School

  • Kyoto University   Graduate School of Engineering   Graduated

    2019.04 - 2022.03

  • Kyoto University   Graduate School of Engineering   Department of Civil and Earth Resources Engineering   Graduated

    2017.04 - 2019.03

  • Kyoto University   Faculty of Engineering   Department of Global Engineering   Graduated

    2013.04 - 2017.03

External Career

  • Tottori University   Assistant Professor

    2022.04 - 2024.09

  • Nagoya Institute of Technology   Assistant Professor

    2024.10

 

Papers

  • Tsunami Visualization Tool Using Numerical Simulation Utilizing 3D City Model Reviewed

    Ryutaro Oshida, Kano Sasaki, Takao Ota, Hisao Emoto, Nobuki Fukui

    2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)   1 - 4   2024.11

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/SCISISIS61014.2024.10760205

  • ON CHARACTERISTICS OF WAVE OVERTOPPING AND REFLECTION OF BREAKWATERS COVERED WITH WAVE DISSIPATING BLOCKS WITH DIFFERENT POROSITY

    Takao OTA, Takeshi MIZOTA, Ryu SAITO, Nobuki FUKUI, Hisao EMOTO,Hiroyuki KAWAMURA and Takayuki HIRAYAMA

    80 ( 17 )   24-17182   2024.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.2208/jscejj.24-17182

  • USING A COMBINED HAZARD MODEL OF TSUNAMIS AND FLOODS EVALUATION OF WATER LEVEL RISE CHARACTERISTICS IN MIKAWA BAY Reviewed

    Reo MINAMI, Masaya TOYODA, Shigeru KATO, Nobuki FUKUI Takuya MIYASHITA, Nobuhito MORI and Sooyoul KIM

    Japanese Journal of JSCE   80 ( 17 )   24-17042   2024.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.2208/jscejj.24-17042

  • SUBGRID MODELING OF STORM SURGE INUNDATION IN A COASTAL URBAN AREA CONSIDERING INFLOW AND OUTFLOW INTO BUILDINGS Reviewed

    Nobuki FUKUI, Teppei YAMANE, Takao OTA and Hisao EMOTO

    Japanese Journal of JSCE   80 ( 17 )   24-17039   2024.11

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.2208/jscejj.24-17039

  • Application of a subgrid-scale urban inundation model for a storm surge simulation: Case study of typhoon Haiyan Reviewed

    Nobuki Fukui, Nobuhito Mori, Sooyoul Kim, Tomoya Shimura, Takuya Miyashita

    Coastal Engineering   104442 - 104442   2023.12

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.coastaleng.2023.104442

  • NUMERICAL MODELING OF TSUNAMI INUNDATION OVER A COASTAL CITY CONSIDERRING BUILDING VOLUMES Reviewed

    Nobuki FUKUI, Nobuhito MORI, Takuya MIYASHITA, Tomoya SHIMURA

    Japanese Journal of JSCE   79 ( 17 )   2023.11

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    Authorship:Lead author, Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.2208/jscejj.23-17025

  • Multi-scale Simulation of Subsequent Tsunami Waves in Japan Excited by Air Pressure Waves Due to the 2022 Tonga Volcanic Eruption Reviewed

    Takuya Miyashita, Ai Nishino, Tung-Cheng Ho, Tomohiro Yasuda, Nobuhito Mori, Tomoya Shimura, Nobuki Fukui

    Pure and Applied Geophysics   2023.08

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    Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Abstract

    The 2022 Hunga Tonga-Hunga Ha’apai eruption generated tsunamis that propagated across the Pacific Ocean. Along the coast of Japan, nearshore amplification led to amplitudes of nearly 1 m at some locations, with varying peak tsunami occurrence times. The leading tsunami wave can generally be reproduced by Lamb waves, which are a type of air-pressure wave generated by an eruption. However, subsequent tsunamis that occurred several hours after the leading wave tended to be larger for unknown reasons. This study performs multi-scale numerical simulations to investigate subsequent tsunami waves in the vicinity of Japan induced by air pressure waves caused by the eruption. The atmospheric pressure field was created using a dispersion relation of atmospheric gravity wave and tuned by physical parameters based on observational records. The tsunami simulations used the adaptive mesh refinement method, incorporating detailed bathymetry and topography to solve the tsunami at various spatial scales. The simulations effectively reproduced the tsunami waveforms observed at numerous coastal locations, and results indicate that the factors contributing to the maximum tsunami amplitude differ by region. In particular, bay resonance plays a major role in determining the maximum amplitude at many sites along the east coast of Japan. However, large tsunami amplification at some west coast locations was not replicated, probably because it was caused by amplification during oceanic wave propagation rather than meteorological factors. These findings enhance our understanding of meteotsunami complexity and help distinguish tsunami amplification factors.

    DOI: 10.1007/s00024-023-03332-9

    Other Link: https://link.springer.com/article/10.1007/s00024-023-03332-9/fulltext.html

  • EFFICIENT NUMERICAL MODELING OF STORM SURGE INUNDATION OVER METROPOLIS USING INDIVIDUAL DRAG FORCE MODEL AND ADAPTIVE MESH REFINEMENT Reviewed

    Nobuki FUKUI, Nobuhito MORI, Sooyoul KIM, Tomoya SHIMURA, Takuya MIYASHITA

    Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)   78 ( 2 )   I_229 - I_234   2022.11

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    Authorship:Lead author  

    DOI: 10.2208/kaigan.78.2_i_229

  • Subgrid-scale modeling of tsunami inundation in coastal urban areas Reviewed

    Nobuki Fukui, Nobuhito Mori, Takuya Miyashita, Tomoya Shimura, Katsuichiro Goda

    Coastal Engineering   177   104175 - 104175   2022.10

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.coastaleng.2022.104175

  • Estimating Compounding Storm Surge and Sea Level Rise Effects and Bias Correction Impact when Projecting Future Impact on Volcanic Islands in Oceania. Case Study of Viti Levu, Fiji Reviewed

    Audrius Sabunas, Nobuhito Mori, Tomoya Shimura, Nobuki Fukui, Takuya Miyashita

    FRONTIERS IN BUILT ENVIRONMENT   8   2022.04

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:FRONTIERS MEDIA SA  

    Oceania comprises many Small Island Developing States (SIDS), the majority of which are founded on volcanic islands. Small islands are generally vulnerable to the effects of climate change. However, a high number of islands and different coastal morphology make it challenging to accurately estimate climate change impact on this region. Nevertheless, quantifying hazards and thus assessing vulnerability is crucial for policymaking and adaptation efforts regarding SIDS. Meanwhile, Viti Levu is the principal island of Fiji. Therefore, climate change projection in Viti Levu helps estimate how volcanic islands in Oceania will be affected under future climate. This study projects the compound impact of storm surge by tropical cyclone (TC) and SLR on Viti Levu under current and future climate conditions. The primary goal of this study is to estimate the impact of extreme 50- and 100-years return storms on coastal areas and populations. This study also assesses the impact of the bias correction of TC intensity for impact assessment. Even though limited to one island, the results could facilitate the application on other volcanic islands, primarily in Melanesia. Even though Viti Levu is a high island, tropical cyclones can sustain extensive economic damage and result in high numbers of the temporarily displaced population in some low-lying coastal locations. The results show that bias can be significant when comparing observed and estimated datasets, particularly for less intense and future extreme events.

    DOI: 10.3389/fbuil.2022.796471

    Web of Science

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Books and Other Publications

  • Storm Surge Forecasting and Future Projection in Practice: Scope of Application of Empirical Typhoon Models

    Masaya Toyoda, Nobuki Fukui( Role: Joint author)

    CRC Press  2024.10 

Scientific Research Funds Acquisition Results

  • 建物スケールの物理過程を考慮した津波・高潮浸水サブグリッドモデルの高度化

    Grant number:24K17357  2024.04 - 2027.03

    日本学術振興会  科学研究費助成事業  若手研究

    福井 信気

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    Grant amount:\4680000 ( Direct Cost: \3600000 、 Indirect Cost:\1080000 )

  • 令和6年能登半島地震津波による浸水被害調査に基づく市街地浸水モデルの高度化

    Grant number:2024-GC02  2024.04 - 2026.03

    京都大学防災研究所  京都大学防災研究所一般共同研究 

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    Authorship:Principal investigator 

  • Estimation of probability and maximum potential intensity of extreme coastal hazards using global and regional integrated models

    Grant number:23H00196  2023.04 - 2027.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Coinvestigator(s) 

    Grant amount:\46800000 ( Direct Cost: \36000000 、 Indirect Cost:\10800000 )

  • Experimental proof of coastal rogue waves

    Grant number:22KK0057  2022.10 - 2026.03

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))

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    Grant amount:\19630000 ( Direct Cost: \15100000 、 Indirect Cost:\4530000 )

  • 浅海域・堤防・陸域における水理現象をシームレスに考慮した高潮浸水モデルの開発

    Grant number:22K20447  2022.08 - 2024.03

    日本学術振興会  科学研究費助成事業 研究活動スタート支援  研究活動スタート支援

    福井 信気

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    Grant amount:\2860000 ( Direct Cost: \2200000 、 Indirect Cost:\660000 )

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Teaching Experience

  • プログラミング演習

    2023.04 - 2024.09 Institution:Tottori University

  • 力学基礎及び演習

    2022.04 - 2024.09 Institution:Tottori University

  • 計算機システム演習

    2022.04 - 2024.09 Institution:Tottori University

  • 土木・社会経営プロジェクト

    2022.04 - 2024.09 Institution:Tottori University