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Tao Yamamoto

Section

Graduate School of Engineering

Job title

Specially Appointed Assistant Professor(Research)

Degree

PhD in Engineering (Tohoku University)

researchmap

https://researchmap.jp/yamamoto_tao

J-GLOBAL ID

202301020839953630

ORCID

https://orcid.org/0000-0001-6713-4319

Research History 4

2026/04 - Present

Tohoku University　Graduate School of Engineering Department of Civil and Environmental Engineering　Specially appointed assistant professor
2023/04 - 2026/03

Tohoku University　Graduate School of Engineering　Research Fellow of Japan Society for the Promotion of Science (DC1)
2024/10 - 2025/03

University of Nottingham　School of Geography　Visiting reseacher
2022/04 - 2023/03

Tohoku University　Graduate School of Engineering　Research fellow

Education 3

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

2023/04 - 2026/03
Tohoku University　Graduate School of Engineering　Department of Civil and Environmental Engineering

2019/04 - 2021/03
Tohoku University　Faculty of Engineering　Department of Civil Engineering and Architecture

2015/04 - 2019/03

Committee Memberships 1

土木学会　水工学に関するAI・DX研究小委員会

2026/06 - 2029/05

Professional Memberships 3

日本地球惑星科学連合

2025/05 - Present
Japan Society of Hydrology and Water Resources

2019/05 - Present
土木学会

2018/12 - Present

Research Interests 4

土砂動態
河道内植生
洪水氾濫解析
気候変動適応策

Research Areas 1

Social infrastructure (civil Engineering, architecture, disaster prevention) / Hydroengineering /

Awards 2

地球環境シンポジウム優秀ポスター賞

2023/09　土木学会地球環境委員会　日本全域河道位数データと河道マスクデータを用いた河川地形の特徴分析
地球環境論文奨励賞

2021/09　土木学会地球環境委員会　日本全国洪水氾濫解析による気候変動への緩和策及び土地利用規制の評価

Papers 14

Encroachment of riparian vegetation in a braided river due to catchment management in Japan International-journal International-coauthorship Peer-reviewed

Tao Yamamoto, Matthew F. Johnson, So Kazama

CATENA　267　110005-110005　2026/06
Publisher: Elsevier BV
DOI： 10.1016/j.catena.2026.110005 　

ISSN： 0341-8162
Evaluation of flood damage reduction throughout Japan from adaptation measures taken under a range of emissions mitigation scenarios Peer-reviewed

Tao Yamamoto, So Kazama, Yoshiya Touge, Hayata Yanagihara, Tsuyoshi Tada, Takeshi Yamashita, Hiroyuki Takizawa

Climatic Change　165　(3-4)　2021/04

DOI： 10.1007/s10584-021-03081-5 　

ISSN： 0165-0009

eISSN： 1573-1480
Nationwide evaluation of changes in fluvial and pluvial flood damage and the effectiveness of adaptation measures in Japan under population decline Peer-reviewed

Hayata Yanagihara, So Kazama, Tao Yamamoto, Atsuya Ikemoto, Tsuyoshi Tada, Yoshiya Touge

International Journal of Disaster Risk Reduction　104605-104605　2024/06
Publisher: Elsevier BV
DOI： 10.1016/j.ijdrr.2024.104605 　

ISSN： 2212-4209
PREDICTION METHOD OF ONE—DIMENSIONAL RIVERBED DEFORMATION USING ARTIFICIAL NEURAL NETWORK IN THE MOGAMI RIVER Peer-reviewed

YAMAMOTO Tao, KAZAMA So

Japanese Journal of JSCE　80　(27)　n/a　2024
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejj.24-27011 　

eISSN： 2436-6021

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An artificial neural network (ANN) was constructed to predict riverbed deformation along the Mogami River for up to 14 years. This study utilized river survey data and numerical simulations to develop and validate the ANN's predictive capabilities. The explanatory variables considered were the river discharge and initial riverbed slope. However, the ANN model, trained solely on river survey data, exhibited poor predictive performance, yielding a coefficient of determination of -1.805. In contrast, the ANN model trained on numerical simulation data demonstrated superior predictive accuracy, achieving a coefficient of determination of 0.810. Nevertheless, this model faced limitations in predicting riverbed deformation over periods longer than the training data or in scenarios with different initial riverbed deformations. Subsequent analysis revealed that restricting the explanatory variables to the initial riverbed slope maintained a high coefficient of determination, even for extended prediction periods beyond the training data. This under-scores the significance of the initial riverbed slope as a crucial variable for accurately predicting long-term riverbed deformation.
Datasets of Strahler Stream Order and Flood Plain Masks in Japan Peer-reviewed

Tao YAMAMOTO, Tsuyoshi TADA, So KAZAMA

JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES　36　(4)　297-305　2023/11/05
Publisher: Japan Society of Hydrology and Water Resources
DOI： 10.3178/jjshwr.36.1812 　

ISSN： 0915-1389

eISSN： 1349-2853
Estimation of Inland Flood Damage Based on Extreme Precipitation in Japan Peer-reviewed

Hayata Yanagihara, Tao Yamamoto, So Kazama

Proceedings of the IAHR World Congress　6303-6308　2022
Publisher: International Association for Hydro-Environment Engineering and Research (IAHR)
DOI： 10.3850/IAHR-39WC2521716X2022214 　

ISSN： 2521-7119

eISSN： 2521-716X
CHANGES IN FLOOD DAMAGE THROUGHOUT JAPAN DUE TO CLIMATE CHANGE AND LAND-USE CHANGE USING SHARED SOCIOECONOMIC PATHWAYS Peer-reviewed

YANAGIHARA Hayata, KAZAMA So, TADA Tsuyoshi, YAMAMOTO Tao, TOUGE Yoshiya

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　78　(5)　I_387-I_395　2022
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.78.5_i_387 　

eISSN： 2185-6648

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This study evaluated the effect of climate change and land-use change on flood damage using climate scenario data by shared socioeconomic pathways (SSPs) throughout Japan. The inundation depth caused by flooding was calculated using a two-dimensional unsteady flow model. The flood damage cost was calculated by multiplying the asset value of the inundated land by the damage rate based on the inundation depth. Extreme rainfall in future climates was estimated from the output values of five general circulation models. The increase rate of the expected annual damage cost (EADC) in the near-future climate (2031–2050) was estimated to be 2% under the SSP1-2.6 and 7% under the SSP5-8.5 compared to the baseline climate (1981–2000). The EADC decrease rate in the late 21st-century climate (2081–2100) was estimated to be 33% under the SSP1-2.6 and 11% under the SSP5-8.5 compared to the baseline climate.
Automatic Load Balancing Using Bayesian Optimization for a Flood Simulation Code Peer-reviewed

14　(2)　1-12　2021/08/20

ISSN： 1882-7829
REGIONAL EVALUATION OF POTENTIAL FLOOD DAMAGE REDUCTION BY PADDY FIELD DAM IN JAPAN Peer-reviewed

YANAGIHARA Hayata, YAMAMOTO Tao, KAZAMA So, TOUGE Yoshiya, CHAI Yikai, TADA Tsuyoshi

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　77　(5)　I_33-I_42　2021
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.77.5_i_33 　

eISSN： 2185-6648

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This study estimated the potential flood damage reduction effect by a paddy field dam throughout Japan. The inundation depth caused by flooding was calculated using a two-dimensional unsteady flow model. The flood damage cost was calculated by multiplying the asset value of the inundated land by the damage rate based on the inundation depth. A simple paddy field dam model, which could be applied to a wide area, was applied to whole Japan to reflect the rainwater storage function of the paddy field dam in the flood inundation analysis. If paddy fields throughout Japan were used for flood mitigation, flood damage cost was estimated to decrease by 6.5 %. The flood damage cost reduction rate due to the paddy field dam was the highest in Toyama prefecture, followed by Saga prefecture, Akita prefecture, Yamagata prefecture and Niigata prefecture. The comparison between the previous study and this study showed that reduction ratio of the flood damage cost by the paddy field dam was lower than that by land-use control, piloti building and improvement of flood-control level.
Estimation of the Risk of Inland Flood Based on Extreme Precipitation Data Considering Climate Change in Japan Peer-reviewed

Hayata Yanagihara, Tao Yamamoto, So Kazama, Yoshiya Touge

Journal of Japan Society of Civil Engineers, Ser.B1 (Hydraulic Engineering)　76　(2)　I_85-I_90　2020
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.76.2_i_85 　

eISSN： 2185-467X
A STUDY ON CHARACTERISTICS OF WOOD DEBRIS DEPOSITION IN MOUNTAIN STREAMS IN HIJIKAWA BASIN Peer-reviewed

GODA Akihiro, KOMORI Daisuke, YOKOYAMA Hikari, YAMAMOTO Tao, MORITA Akira, ITAKURA Kenta, YAMADA Tadashi

Advances in River Engineering　26　557-562　2020
Publisher: Japan Society of Civil Engineers
DOI： 10.11532/river.26.0_557 　

eISSN： 2436-6714

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In recent years, wood debris disasters have been increasing in Japan. Therefore, elucidation of the mechanism of wood debris runoff is required. It is suggested that wood debris sedimentation in mountains is important for understanding the mechanism of wood debris runoff. In this study, we investigated the wood debris dams closely related to wood debris runoff and investigated its structural characteristics and formation factors in the Hijikawa basin. As a result, examining the trees forming the wood debris dams, it was found that most of the trees were young and small in diameter at breast height. As a formation factor, there were many types where wood debris was clogged in the standing trees beside the flow channel.
Estimation of the mitigation and the landuse control for climate change based on the flood analysis in Japan Peer-reviewed

YAMAMOTO Tao, KAZAMA So, TOUGE Yoshiya, TADA Tsuyoshi, YAMASHITA Takeshi

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　76　(5)　I_141-I_150　2020
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.76.5_i_141 　

eISSN： 2185-6648

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This study evaluated the impact of flood damage caused by climate change and the effects of mitigation and adaptation measures. Using the two-dimensional unsteady flow model and the Flood Control Economic manual (by Ministry of Land, Infrastructure, Transport and Tourisum), the inundation depth and economic damage were calculated. In order to estimate the flood damage at the end of the 21st century, the rainfall in the future climate was obtained using 5 GCMs, and the future inundation depth and economic damage were obtained using these as input values. In addition, we focused on land use control as an adaptation measure, and examined the effect of reducing the amount of damage and the cost-benefit ratio (The social discount rate is 4.0%). It was estimated that the mitigation from RCP8.5 to RCP2.6 at the end of the 21st century would reduce the expected annual flood damage by 246.5 billion yen / year. It was estimated that adaptation measures by land use control, which regulates areas flooded by 3 m or more during floods with a return period of 200 years, would reduce expected annual damage by 26% in the current climate. The estimated cost-benefit ratio was 0.684 for the mitigation measures, while the cost-benefit ratio for land use control was estimated to be about 0.019.
THE EFFECTS OF GCMs AND SPATIAL RESOLUTION IN THE ESTIMATION OF THE FLOOD DAMAGE CAUSED BY CLIMATE CHANGE Peer-reviewed

YAMAMOTO Tao, KAZAMA So, TOUGE Yoshiya, TANAKA Yukako, TADA Tsuyoshi, YAMASHITA Takeshi

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　75　(2)　I_1087-I_1092　2019/11
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.75.2_i_1087 　

ISSN： 1880-8751

eISSN： 2185-467X

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In the estimation of flood damage over the whole of Japan using a two-dimensional unsteady flow model, we compared the difference between the fluctuation of the damage cost when using multiple GCMs and the using different spatial resolutions. The standard deviation of the damage amount was estimated to be 50.7 billion yen in the 2050 RCP 2.6 scenario and 68.0 billion yen in the 2050 RCP 8.5 scenario for 6 different GCMs. The ratio of this standard deviation to the annual expected damage is 3.56% and 4.70%, respectively. On the other hand, when the spatial resolution was changed from 1 km to 250 m, the annual expected damage decreased by 223.9 billion yen. The ratio of this difference to the annual expected damage is 13.9% at 1km resolution and 16.1% at 250m resolution. It was suggested that the effect of spatial resolution should be more important than the uncertainty of GCM for the estimation of damage cost.
Estimation of the mitigation and the adaptation for the flood in Japan caused by climate change Peer-reviewed

YAMAMOTO Tao, KAZAMA So, TOUGE Yoshiya, TADA Tsuyoshi, YAMASHITA Takeshi

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)　75　(5)　I_15-I_23　2019
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejer.75.i_15 　 10.2208/jscejer.76.5_i_461_references_DOI_WdQIZH9sPJBEOt9DZFTZEP0XkDT 　

ISSN： 2185-6648

eISSN： 2185-6648

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This study shows and compares the effect of the mitigation and the adaptation for the flood caused by climate change. It was estimated that the flood depth and the damage using 2D non-uniform flow model and the flood control economy investigation manual . Furthermore, it was estimated that the future flood damage using GCM(Global Climate Model)s and two RCP(Representative Concentration Pathways) scenarios. And we considered the land use regulation as the adaptation. We consider the reduction if we withdraw the land based on the 100 year return period flood depth as the effect of the land use regulation. The results shows that the estimated current annual average flood damage is 1.39 trillion JPY, and aruound 2050 damages are 1.43 trillion JPY on RCP2.6, and1.45 JPY trillion on RCP8.5. Therefore the effect of the mitigation is 19.2 billion JPY. On the other hand, the effect of the adaptation is 57.6 billion JPY. The cost-benefit ratio was also considered. The ratio of the mitigation is 0.056, and the cost of the adaptation need keep under 28.8 billion JPY in order to keep the ratio over 2.0.

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Misc. 21

寒河江川における河道内植生繁茂による出水時の土砂収支変化

山本道, 風間聡

令和8年度土木学会全国大会第81回年次学術講演会　II-174　2026/09/03
Introducing Rivers in the Landscape, Second Edition by Ellen Wohl

Tao YAMAMOTO

JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES　39　(3)　234-234　2026/08/05
Publisher: Japan Society of Hydrology and Water Resources
DOI： 10.3178/jjshwr.39.234 　

ISSN： 0915-1389

eISSN： 1349-2853
寒河江川における河道内植生繁茂が及ぼす土砂収支の影響

山本道, 風間聡

令和7年度土木学会東北支部技術研究発表会　Ⅱ-8-04　2026/03/07
Long Term Observation of Riparian Vegetation Expansion in the Sagae River, Japan for Practical Vegetation and Channel Management

Tao Yamamoto, So Kazama, Matthew F. Johnson

AOGS2025 22nd Annual Meeting　HS25-A014　2025/08
Experimental prediction of 1-dimensional riverbed deformation using machine learning along the Mogami river, Japan Peer-reviewed

Tao YAMAMOTO, So KAZAMA

8th IAHR EUROPE CONGRESS　447-448　2024/06
最上川における人工ニューラルネットワークを用いた一次元河床変動予測の試み

山本道, 風間聡

土木学会東北支部技術研究発表会（令和5年度）　II-21　2024/03
One-Dimensional Riverbed Deformation Surrogate Modeling Using Machine Learning in the Mogami River

Yamamoto Tao, Kazama So

Proceeding of Annual Conference　37　221　2024
Publisher: THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
DOI： 10.11520/jshwr.37.0_221 　

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This study performed the surrogate modeling of a one-dimensional riverbed deformation analysis aiming to reduce the computational load of its analysis The main objective was the validation of the applicability of surrogating to the riverbed change prediction for a long period and with various initial topographic conditions. The surrogated numerical model was iRIC Nays 1D+, which can conduct unsteady flow analyses with a movable bed. At first, we computed a one-dimensional riverbed deformation with Nays1D+ targeting the Mogami River for 10 years. The surrogating technique was the artificial neural network with explanatory variables (river discharge and/or riverbed slope) and a target variable (riverbed height difference). We attempted to predict up to 10 years of riverbed change predictions with 5 years training. Utilizing only riverbed slopes obtained better prediction over 5 years, indicating that the riverbed slope plays a crucial role in long-period riverbed deformation prediction.
Potential of machine learning technique for prediction of 1-dimensional riverbed deformation along the Mogami River

Tao Yamamoto, So Kazama

The 11th International Symposium on Water Environment Systems --with Perspective of Global Safety　85-86　2023/11
日本全域を対象とした河道マスクデータの整備とその応用

山本道, 風間聡

土木学会東北支部技術研究発表会（令和4年度）　II-47　2023/03
日本全国109の一級水系を対象とした衛星画像による河道内植生の評価

柳原駿太, 風間聡, 山本道

土木学会東北支部技術研究発表会（令和4年度）　II-60　2023/03
河川氾濫を対象とした洪水リスクに対する適応策評価—Development of evaluation on adaptation in flood risk under climate change—気候変動適応推進のための科学的知見の創出に向けて Peer-reviewed

風間聡, 山本道, 柳原駿太, 池本敦哉

地球環境　28　(1)　77-83　2023
Publisher: 東京 : 国際環境研究協会
ISSN： 1342-226X
Study of Adaptation Measures for Flood Damage Mitigation by Adopting Effect of Climate Change

Tao Yamamoto, So Kazama

The 10th International Symposium on Water Environment Systems --with Perspective of Global Safety　51-53　2022/12
Nationwide evaluation of future flood damage considering land-use change associated with population change in Japan

Yanagihara Hayata, Kazama So, Tada Tsuyoshi, Yamamoto Tao, Touge Yoshiya

Proceeding of Annual Conference　35　51　2022
Publisher: THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
DOI： 10.11520/jshwr.35.0_51 　
田んぼダムによる洪水被害軽減潜在効果の推定

山本道, 風間聡, 峠嘉哉, 山下毅

土木学会東北支部技術研究発表会（令和2年度）　II-62　2021/03
Estimation of the risk of inland flood based on distribution of extreme precipitation in Japan

Hayata Yanagihara, Tao Yamamoto, So Kazama

The 8th International Symposium on Water Environment Systems --with Perspective of Global Safety　32-33　2020/11
旅行情報誌から読み解く人気な河川の共通項

星美沙希, 岡田瑶樹, 山本道, 馬場裕樹, 風間聡

土木学会東北支部技術研究発表会（令和元年度）　H-4　2020/03
気候変動による洪水に対する土地利用規制と緩和策の評価

山本道, 風間聡, 峠嘉哉, 多田毅, 山下毅

土木学会東北支部技術研究発表会（令和元年度）　II-22　2020/03
Estimation of the flood damage caused by Climate change and effect of the adaptation

Tao Yamamoto, So Kazama, Yoshiya Touge, Tsuyoshi Tada, Takeshi Yamashita

The 7th International Symposium on Water Environment Systems --with Perspective of Global Safety　38-39　2019/11
Estimation of the Flood Damage Caused by Climate Change and Effect of the Adaptation

Tao Yamamoto, So Kazama, Tsuyoshi Tada, Takeshi Yamashita

AOGS 16th Annual Meeting　HS13-A014　2019/07
気候変動による洪水被害とその適応策の効果の推定

山本道, 風間聡, 峠嘉哉, 田中裕夏子, 多田毅, 山下毅

土木学会東北支部技術研究発表会（平成30年度）　II-47　2019/03
Estimation of the flood damage caused by climate change and effect of the land use regulation

Yamamoto Tao, Kazama So, Touge Yoshiya, Tada Tsuyoshi, Yamashita Takeshi

Proceeding of Annual Conference　32　114　2019
Publisher: THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
DOI： 10.11520/jshwr.32.0_114

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Research Projects 4

融雪に伴う河床変化と植生応答の高密度空間観測

山本道

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 研究活動スタート支援

Institution: 東北大学

2026/07/31 - 2028/03/31
適切な河川管理を目指した深層学習の応用による広域適用可能な土砂解析モデル開発

山本道

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 特別研究員奨励費

Institution: 東北大学

2023/04/25 - 2026/03/31
流砂の連続性と河川環境場を考慮した長期的な河床変動予測モデルの開発

Offer Organization: 日本学術振興会

System: 若手研究者海外挑戦プログラム

Institution: University of Nottingham

2024/10 - 2025/03
日本全土の洪水氾濫被害と適応策の検討

峠嘉哉, 滝沢寛之, 風間聡, 山本道, 柳原駿太, 池本敦哉, 岡本彩果

Offer Organization: 学際大規模情報基盤共同利用・共同研究拠点

System: 公募型共同研究

Category: 一般共同研究課題

Institution: 東北大学

2022/04 - 2023/03

Teaching Experience 1

Environment and Disasters Protection Engineering　Tohoku Institute of Technology Undergraduate (liberal arts)