Tomohiro Tanaka 研究室

主宰者：Tomohiro Tanaka

京都大学

AI 要約（直近 5 年の研究成果）

本研究室は、気候変動が引き起こす水災害の増加に対して、その影響を予測し、被害を軽減するための方法を開発しています。特に洪水や高潮といった河川災害を対象に、数十年後の気候条件下でどのような災害が起こりうるかを科学的に評価することに取り組んでいます。研究では、大規模な気候シミュレーションデータセットと流域の降雨流出モデル、氾濫解析モデルを組み合わせ、過去と将来の極端現象を詳細に比較します。主な研究課題として、複数の河川が同時に増水する複合洪水リスク、台風に伴う高潮と河川洪水の同時発生、そして気候変動下でダムの治水機能がどれだけ有効かといった点を調べています。研究成果から、温暖化が進むにつれて極端な洪水イベントが増加すること、また複数の災害が重なる確率が高まることが明らかになっています。これらの知見に基づき、本研究室は治水対策の最適化やインフラの効率的な設計、さらには都市計画と連携した総合的な水災害対策の枠組みを提案しています。農業地帯や低平地での被害評価、地域住民の避難・移住行動を考慮した対策評価など、工学的アプローチと社会科学的視点を統合させた実践的な防災研究を進めています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（52 件）

[2026] Observed amplification of flood risk in Pakistan driven by changes in inundation extent and human settlement
DOI: https://doi.org/10.1016/j.rsase.2026.102025
[2025] A new statistical method of rapid event attribution for probability of extreme events: applications to heatwave events in Japan
DOI: https://doi.org/10.1088/2752-5295/ade1f3
[2025] Assessing simultaneous occurrence of storm surges and high river flows at large river systems in Japan based on d4PDF projection
DOI: https://doi.org/10.1080/21664250.2025.2500842
[2025] A new framework for the assessment of potential future disasters caused by typhoons using multi-model ensemble experiments
DOI: https://doi.org/10.5194/egusphere-2025-4772
[2025] Supplementary material to "A new framework for the assessment of potential future disasters caused by typhoons using multi-model ensemble experiments"
DOI: https://doi.org/10.5194/egusphere-2025-4772-supplement
[2025] Non-exchangeable Evolutionary and Mean Field Games and Their Applications
DOI: https://doi.org/10.1007/s13235-025-00679-7
[2024] Testing the Multivariate Hüsler–Reiss Model as a Practical Parametric Approach for Multiple River Flood Risk Assessment Using d4PDF Data: A Case Study in Kyushu Island, Japan
DOI: https://doi.org/10.1061/jhyeff.heeng-6065
[2024] Grid-based parameter regionalization of distributed hydrologic models based on geospatial dataset for flash flood predictions in heterogeneous catchments in Japan
DOI: https://doi.org/10.3178/hrl.18.95
[2024] Statistical computation of a superposition of infinitely many Ornstein–Uhlenbeck processes
DOI: https://doi.org/10.1063/5.0210146
[2024] ASSESSING MAXIMUM FLOOD CONTROL EFFECT OF EXISTING DAMS BY OPTIMIZED DAM OPERATION FOR EXTREME FLOODS UNDER CLIMATE CHANGE
DOI: https://doi.org/10.2208/jscejj.24-00161

続きを表示（残り 42 件）

[2024] IMPACT ANALYSIS OF CLIMATE CHANGE ON FLUVIAL INUNDATION USING D4PDF: A CASE STUDY IN THE CHOSHUI RIVER BASIN, TAIWAN
DOI: https://doi.org/10.2208/journalofjsce.23-16188
[2024] ANALYZING TAIL DEPENDENCY OF RIVER DISCHARGE BETWEEN TWO RIVERS OF ALL CLASS-A RIVERS IN JAPAN USING BIVARIATE EXTREME VALUE DISTRIBUTION AND d4PDF
DOI: https://doi.org/10.2208/jscejj.23-16195
[2024] Developing flood risk curves of agricultural economic damage under climate change in the Lower Chao Phraya River Basin, Thailand
DOI: https://doi.org/10.1111/jfr3.13031
[2024] Agent‐based intra‐regional relocation model considering spatial local amenity for urban planning‐based flood risk management: Assessing the impact of urban development on flood exposure
DOI: https://doi.org/10.1111/jfr3.13035
[2023] Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization
DOI: https://doi.org/10.21437/interspeech.2023-1307
[2023] Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand
DOI: https://doi.org/10.1016/j.ejrh.2023.101583
[2023] SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?
DOI: https://doi.org/10.21437/interspeech.2023-1823
[2023] Knowledge Distillation for Neural Transducer-based Target-Speaker ASR: Exploiting Parallel Mixture/Single-Talker Speech Data
DOI: https://doi.org/10.21437/interspeech.2023-2280
[2023] Improving Scheduled Sampling for Neural Transducer-Based ASR
DOI: https://doi.org/10.1109/icassp49357.2023.10095826
[2023] Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models
DOI: https://doi.org/10.1109/icassp49357.2023.10096318
[2023] Leveraging Language Embeddings for Cross-Lingual Self-Supervised Speech Representation Learning
DOI: https://doi.org/10.1109/icassp49357.2023.10096681
[2023] CVaR-based optimization of environmental flow via the Markov lift of a mixed moving average process
DOI: https://doi.org/10.1007/s11081-023-09800-4
[2023] Risk-based versus storyline approaches for global warming impact assessment on basin-averaged extreme rainfall: a case study for Typhoon Hagibis in eastern Japan
DOI: https://doi.org/10.1088/1748-9326/accc24
[2023] Retrieval, Masking, and Generation: Feedback Comment Generation using Masked Comment Examples
DOI: https://doi.org/10.18653/v1/2023.inlg-genchal.9
[2023] DIAGNOSTIC ASSESSMENT OF COMPOUND FLOODING BY STORM SURGES AND RIVER FLOODS IN JAPAN’S THREE MAJOR BAYS BASED ON d4PDF PROJECTION
DOI: https://doi.org/10.2208/jscejj.23-17042
[2023] TEMPORAL CHANGE PREDICTABILITY OF EXTREME BASIN RAINFALL USING THE 150-YEAR SEAMLESS EXPERIMENT WITH NON-STATIONARY FREQUENCY ANALYSIS
DOI: https://doi.org/10.2208/jscejj.22-00096
[2022] Domain Adversarial Self-Supervised Speech Representation Learning for Improving Unknown Domain Downstream Tasks
DOI: https://doi.org/10.21437/interspeech.2022-11414
[2022] Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
DOI: https://doi.org/10.21437/interspeech.2022-11313
[2022] Eigenvalue Analysis and Impact Response Analysis for T-shaped Structures with New Acoustic Black Hole Including Residual Thickness Supported by Nonlinear Concentrated Springs
DOI: https://doi.org/10.1299/jsmedsd.2022.32.3302
[2022] Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations
DOI: https://doi.org/10.21437/interspeech.2022-10767
[2022] Modeling and computation of an integral operator Riccati equation for an infinite-dimensional stochastic differential equation governing streamflow discharge
DOI: https://doi.org/10.1016/j.camwa.2022.09.009
[2022] Correcting streamflow bias considering its spatial structure for impact assessment of climate change on floods using d4PDF in the Chao Phraya River Basin, Thailand
DOI: https://doi.org/10.1016/j.ejrh.2022.101150
[2022] Changes in Society and Research on Floods
DOI: https://doi.org/10.3178/jjshwr.35.3-4
[2022] Hybrid RNN-T/Attention-Based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration
DOI: https://doi.org/10.1109/icassp43922.2022.9746428
[2022] Novel framework for assessing long‐term flood risk management pathways focusing on river channel improvement and amenity policies
DOI: https://doi.org/10.1111/jfr3.12804
[2022] Integrated Evaluation Indicator for Irrigation Ponds Considering Disaster Prevention and Maintenance: Case Study of Saijo City, Ehime, Japan
DOI: https://doi.org/10.3178/jjshwr.35.122
[2022] Hydrodynamics-based modeling of phosphorus balance and dynamics in a large tropical floodplain
DOI: https://doi.org/10.1016/j.envadv.2022.100176
[2022] FUTURE CHANGES OF COOCCURRENCE PROBABILITY OF EXTREME FLOODS USING BIVARIATE EXTREME VALUE THEORY AND d4PDF
DOI: https://doi.org/10.2208/jscejhe.78.2_i_445
[2022] FREQUENCY ANALYSIS OF PAST AND FUTURE EXTREME RAINFALL EVENTS IN TAIWAN USING d4PDF
DOI: https://doi.org/10.2208/jscejhe.78.2_i_457
[2022] Predictability of lake water stage by inflow River observation: A case study in Tonle Sap Lake, Cambodia
DOI: https://doi.org/10.1063/5.0082062
[2022] ESTIMATING FUTURE CHANGES OF EXTREME RIVER DISCHARGE IN THE CHAO PHRAYA RIVER USING d4PDF WITH MULTIPLE BIAS CORRECTIONS
DOI: https://doi.org/10.2208/jscejhe.78.1_35
[2022] Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments
DOI: https://doi.org/10.1016/j.apm.2022.11.009
[2021] Introduction of "Eggs of Ideas" Editorial Board and Call for Application
DOI: https://doi.org/10.3178/jjshwr.34.74
[2021] An Application of Multivariate Extreme Value Distribution to d4PDF: Co-occurrence Probability of Extreme Floods in Two River Basins
DOI: https://doi.org/10.5023/jappstat.50.75
[2021] FUTURE CHANGES OF FLOOD CONTROL EFFECT BY DAM RESERVOIRS OVER JAPAN USING d4PDF
DOI: https://doi.org/10.2208/jscejhe.77.2_i_49
[2021] EXAMINATION OF ASSUMED INUNDAITON DUE TO LARGE SCALE FLOODS IN FUTURE FORECASTS
DOI: https://doi.org/10.2208/jscejhe.77.2_i_7
[2021] Report of the Series of Online Lectures and Workshop on Inter-sectoral Collaboration Among Early-career Researchers and Managers
DOI: https://doi.org/10.3178/jjshwr.34.386
[2021] Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention Architecture
DOI: https://doi.org/10.21437/interspeech.2021-437
[2021] Simultaneous flood risk analysis and its future change among all the 109 class-A river basins in Japan using a large ensemble climate simulation database d4PDF
DOI: https://doi.org/10.1088/1748-9326/abfb2b
[2021] Deriving fluvial and pluvial flood risk curves using large ensemble climate simulation data with a fast 2-D flood model: A case study in Nagoya City, Japan
DOI: https://doi.org/10.5194/egusphere-egu21-3571
[2021] Recent nationwide climate change impact assessments of natural hazards in Japan and East Asia
DOI: https://doi.org/10.1016/j.wace.2021.100309
[2021] DEM-based river cross-section extraction and 1-D streamflow simulation for eco-hydrological modeling: a case study in upstream Hiikawa River, Japan
DOI: https://doi.org/10.3178/hrl.15.71

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（52 件）

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