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Yusuke Hiraga

Section

Graduate School of Engineering

Job title

Assistant Professor

Degree

Ｐｈ．Ｄ．（University of California）
修士（工学）（東北大学）

researchmap

https://researchmap.jp/yusuke_hiraga230410

J-GLOBAL ID

202301013859635361

e-Rad No.

20983745

ORCID

https://orcid.org/0000-0002-7791-5431

Profile

気候変動下の豪雨・洪水，気候変動が想定最大規模降雨（PMP）に与える影響についてお話した内容が，外部リンクで公開されています．

Research History 5

2023/01 - Present

Tohoku University　Graduate School of Engineering Department of Civil and Environmental Engineering　Assistant Professor
2025/04 - 2025/06

Federico Santa María Technical University　Department of Civil Engineering　Visiting Scholar
2022/11 - 2022/12

Tohoku University　Graduate School of Engineering Department of Civil and Environmental Engineering　Assistant
2019/09 - 2022/10

University of California, Davis　Civil and Environmental Engineering　Graduate Student Researcher
2017/04 - 2019/08

TOKYO GAS CO.,LTD.　Fundamental Research Institute, Digital Innovation Division　Researcher

Education 4

University of California, Davis　Civil and Environmental Engineering　Water Resources Engineering

2019/09 - 2022/12
Tohoku University　Graduate School of Engineering　Department of Civil and Environmental Engineering

2015/04 - 2017/03
Asian Institute of Technology　School of Engineering and Technology　Water Engineering and Management

2015/07 - 2016/06
Tohoku University　Faculty of Engineering　Department of Civil Engineering and Architecture

2011/04 - 2015/03

Committee Memberships 2

グローカル気候変動適応研究推進小委員会

2025/04 - Present
水理・水文統計解析研究小委員会　幹事

2023/05 - Present

Professional Memberships 4

水文・水資源学会

2022/10 - Present
公益社団法人土木学会

2022/10 - Present
American Geophysical Union

2019/09 - Present
American Meteorological Society

2019/09 -

Research Interests 4

Hydrology
Climate Change
Flood
Atmospheric Science

Research Areas 1

Natural sciences / Atmospheric and hydrospheric science / Hydrology

Awards 7

アウトスタンディングディスカッション賞

2025/03　土木学会水工学委員会
Editor's Choice

2024/06　Journal of Hydrologic Engineering　Response of Precipitation Increases to Changes in Atmospheric Moisture and Its Flux in the Columbia River Basin: WRF Model–Based Precipitation Maximization for PMP Studies
水工学論文奨励賞

2024/03　公益社団法人土木学会水工学委員会
建設工学研究奨励賞

2023/06　建設工学研究振興会　長期気象水文プロセスを対象とした新たな洪水シナリオ推定手法の開発
Editor’s Choice

2023/01　Journal of Hydrologic Engineering　Comparison of Model-Based Precipitation Maximization Methods: Moisture Optimization Method, Storm Transposition Method, and Their Combination
CEE Travel Award

2022/04　Civil and Environmental Engineering, University of California, Davis　Participation to the 2022 International Atmospheric Rivers Conference
ベストプレゼンテーション賞

2017/03　東北大学大学院土木工学専攻　熱帯モンスーン域における氾濫源開発が流域環境に与える影響評価

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Papers 38

Climate Change Effects on Probable Maximum Precipitation (PMP) of Mesoscale Convective Systems: Model-based estimation and large ensemble-based frequency analysis Peer-reviewed

Yusuke Hiraga, Satoshi Watanabe, Takeshi Yamashita, Hiroyuki Takizawa

Journal of Hydrology　133724-133724　2025/06
Publisher: Elsevier BV
DOI： 10.1016/j.jhydrol.2025.133724 　

ISSN： 0022-1694
A methodology to estimate Probable Maximum Precipitation (PMP) under climate change using a numerical weather model Peer-reviewed

Yusuke Hiraga, Ryotaro Tahara, Joaquin Meza

Journal of Hydrology　652　132659-132659　2025/05
Publisher: Elsevier BV
DOI： 10.1016/j.jhydrol.2024.132659 　

ISSN： 0022-1694
Extreme precipitation modeling and Probable Maximum Precipitation (PMP) estimation in Chile Peer-reviewed

Yusuke Hiraga, Joaquin Meza

Journal of Hydrology: Regional Studies　58　102274-102274　2025/04
Publisher: Elsevier BV
DOI： 10.1016/j.ejrh.2025.102274 　

ISSN： 2214-5818
Comparison of Model-Based Precipitation Maximization Methods: Moisture Optimization Method, Storm Transposition Method, and Their Combination Peer-reviewed

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Chris D. Frans, Angela M. Duren, John F. England, M. Levent Kavvas

Journal of Hydrologic Engineering　2023/01

DOI： 10.1061/(ASCE)HE.1943-5584.0002234 　
Estimation of Long-duration Maximum Precipitation during a winter season for large basins dominated by Atmospheric Rivers using a Numerical Weather Model Peer-reviewed

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Chris D. Frans, Angela M. Duren, John F. England, M. Levent Kavvas

Journal of Hydrology　598　126224-126224　2021/07
Publisher: Elsevier {BV}
DOI： 10.1016/j.jhydrol.2021.126224 　

ISSN： 0022-1694
Impact of Reclamation on the Environment of the Lower Mekong River Basin Peer-reviewed

Yusuke Hiraga, So Kazama, Chaiwat Ekkawatpanit, Yoshiya Touge

Journal of Hydrology: Regional Studies　18　143-155　2018/08
Publisher: Elsevier {BV}
DOI： 10.1016/j.ejrh.2018.06.003 　

ISSN： 2214-5818
Recent Advances in Long-Term Wind-Speed and -Power Forecasting: A Review Peer-reviewed

Jacqueline Muthoni Mbugua, Yusuke Hiraga

Climate　13　(8)　155-155　2025/07/23
Publisher: MDPI AG
DOI： 10.3390/cli13080155 　

eISSN： 2225-1154

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This review examines advancements and methodologies in long-term wind-speed and -power forecasting. It emphasizes the importance of these techniques in integrating wind energy into power systems. Covering a range of forecasting timeframes from monthly to multiyear projections, this paper highlights the diversity of applications and approaches. These applications and approaches are essential for managing the inherent variability and unpredictability of wind energy. Various forecasting methods, including statistical models, machine-learning techniques, and hybrid models, are discussed in detail. The review demonstrates how these methods improve forecast accuracy and reliability across different temporal and geographical scales. It also identifies significant challenges such as model complexity, data limitations, and the need to accommodate regional variations. Future improvements in wind forecasting include enhancing model integration, employing higher resolution data, and fostering collaborative research to further refine forecasting methodologies. This comprehensive analysis aims to advance knowledge on wind forecasting, facilitate the efficient integration of wind power into global energy systems, and contribute to sustainable energy development goals.
Wetland Loss Intensifies Regional Heat and Stress: Insights from the 2023 Southeast Asia Heatwave

Chang Liu, Yusuke Hiraga, Jacqueline Mbugua, Jose Angelo Hokson, So Kazama

2025/06/25
Publisher: Springer Science and Business Media LLC
DOI： 10.21203/rs.3.rs-6812001/v1 　

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Abstract <p>Wetlands play a crucial role in regulating regional climate through their effects on surface energy balance and evapotranspiration. However, rapid wetland loss in Southeast Asia has raised concerns about its potential to intensify extreme weather events such as heatwaves. This study investigates the impact of wetland loss on regional temperature and human heat stress during the 2023 heatwave in the Cambodia Lower Mekong Delta (CLMD). Using the WRF model coupled with the Noah-MP land surface scheme, we conducted high-resolution ensemble simulations under three land cover scenarios: baseline, historical wetland extent, and current wetland extent. Additional simulations were performed using a Pseudo Global Warming (PGW) approach with future climate deltas derived from 30 CMIP6 global climate models under SSP2-4.5. Results show that wetlands reduce surface temperatures by 1 to 3°C on average, with broader cooling effects extending beyond wetland boundaries. Under future warming, these cooling effects persist, demonstrating the resilience of wetland-regulated climate moderation. The combined scenario of climate warming and wetland loss produces amplified heat exposure. Although the reduction in Wet Bulb Globe Temperature (WBGT) due to wetlands was modest (1–2°C), it has meaningful implications for heat stress mitigation. This study underscores the importance of wetlands as a natural defense against heat extremes and introduces a replicable framework for integrating wetland changes into regional climate modeling. These findings highlight the need to preserve and restore wetland ecosystems as part of climate adaptation strategies in heat-vulnerable regions.</p>
Spatio-Temporal Analysis of Wetland Loss in the Lower Mekong River Basin Based on Surface Water Detection Datasets and Machine Learning Peer-reviewed

Yusuke Hiraga, Mayu Aoki, So Kazama

Wetlands　45　(6)　2025/06/25
Publisher: Springer Science and Business Media LLC
DOI： 10.1007/s13157-025-01959-z 　

ISSN： 0277-5212

eISSN： 1943-6246

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Abstract Wetland loss and degradation is a major global issue in which its detailed estimation of spatio-temporal distribution will be a key for understanding the dynamics and subsequent impact assessment studies. This study aimed to estimate the wetland-to-non-wetland transitions (i.e., wetland loss—from surface water-detected areas to non-surface water areas), analyze its geographical characteristics, and quantify the likelihood of loss occurrence for existing wetlands in the lower Mekong River Basin in Cambodia. Using the global surface water detection datasets, the spatiotemporal distribution of wetland loss with high resolution (30 m) over the entire study area (140 km×210 km) during 1984–2021 was estimated. Statistically significant differences were found in the distance from urban areas and distance from river channels for the existing wetlands and lost wetlands as of 2021, in which the lost wetlands tend to locate closer to urban areas. Subsequent Land Use/Land Cover after the wetland loss was found to be mainly croplands (72.2%) in the study area. Though our estimate overall agrees with the recent global-scale estimate, our estimate resulted in notable ratio of rangelands (11.3%), which represents the unique characteristics of floodplain wetlands in the lower Mekong River Basin. The Random Forest and Light GBM algorithms-based wetland loss prediction models resulted in good statistical evaluation metrics. In both models, the distance from river channels was found to be the most important feature for classifying existing wetlands and lost wetlands. Application of the developed models successfully provided the map of likelihood of wetland loss for existing wetlands in the study area.
Responses of Convective Heavy Rainfall to Atmospheric Moisture Amplification: Implications for Probable Maximum Precipitation Estimation Peer-reviewed

Yusuke Hiraga, Ryotaro Tahara

Journal of Hydrometeorology　2025/06/16
Publisher: American Meteorological Society
DOI： 10.1175/jhm-d-25-0025.1 　

ISSN： 1525-755X

eISSN： 1525-7541

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Abstract Mesoscale convective systems (MCSs) can produce extreme precipitation and flash flooding, emphasizing its importance for Probable Maximum Precipitation (PMP). To estimate PMP using a numerical weather prediction model, the Relative Humidity Maximization (RHM) method has been most commonly used, in which atmospheric grids in the modeling domain are fully saturated to maximize moisture availability for the storm. However, such drastic saturation practice may weaken thermodynamic gradients that are essential for MCSs development, potentially reducing rather than maximizing precipitation. This study investigated the response of MCS-induced heavy rainfall to various atmospheric moisture maximization strategies using the Weather Research and Forecasting (WRF) model, focusing on an extreme rainfall event in August 2022 in Japan. Applying RHM to all grids in the atmosphere resulted in weakened convective organization, reduced precipitation magnitude, and altered spatial rainfall distribution due to atmospheric stabilization and diminished low-level convergence. To address this, we selectively applied RHM to lower atmospheric layers and high-humidity regions to maintain a strong thermodynamic gradient, based on our understanding of the storm mechanism. This selective RHM approach successfully increased atmospheric moisture during the storm while maintaining (even enhancing) convective organization. The RHM practice below 900 hPa with the threshold of relative humidity > 90% preserved strong vertical and horizontal thermodynamic gradients and moisture flux convergence, leading to a 25.8% increase in 48-hour maximum precipitation over the Arakawa Basin. Thus, both vertical and horizontal gradients in thermodynamics matter for maximizing precipitation of MCSs. Further studies should apply similar methodologies to a broader range of MCS events to generalize our findings and to develop an effective PMP estimation methodology for MCSs.
Impacts of Climate Change on Tropical Cyclones and Associated Rainfall over South Korea: Storyline and Risk-based Approaches

Yusuke Hiraga, Jose Angelo Hokson, Bomi Kim, Yaewon Lee, Seong Jin Noh

ESS Open Archive (Pre-print)　2025/06

DOI： 10.22541/essoar.174982645.56204700/v1 　
Effects of Large Wildfire Burned Scars on Downstream Flood Discharge in California Watersheds: A Hydrological Modeling Study

Wasitha Dilshan, Yusuke Hiraga, So Kazama

World Environmental and Water Resources Congress 2025　20-28　2025/05/15
Publisher: American Society of Civil Engineers
DOI： 10.1061/9780784486184.003 　
Maximum Precipitation Scenarios of Line-Shaped Mesoscale Convective Systems in a Warming Climate: Numerical Model-Based Estimation Peer-reviewed

Yusuke Hiraga

World Environmental and Water Resources Congress 2025　80-87　2025/05/15
Publisher: American Society of Civil Engineers
DOI： 10.1061/9780784486184.009 　
Wildfire‐Induced Enhancement in Downstream Flood Discharge in Watersheds of California Peer-reviewed

Wasitha Dilshan, Yusuke Hiraga, So Kazama

Journal of Flood Risk Management　18　(2)　2025/04/24
Publisher: Wiley
DOI： 10.1111/jfr3.70054 　

ISSN： 1753-318X

eISSN： 1753-318X

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ABSTRACT Global climate change is increasingly associated with the prevalence of extreme precipitation and large wildfires. The influence of large wildfires on downstream flood discharge is concerning, particularly from a flood risk management perspective, where understanding the impact at a watershed scale is still fairly limited. This study investigates the impacts of wildfires on downstream flood discharge in 30 Californian watersheds. We employed the Soil and Water Assessment Tool (SWAT) to simulate daily discharge over 20 years, achieving robust model performance R² values of 0.67–0.86 and Nash–Sutcliffe efficiency (NSE) values of 0.65–0.86. The differences between the observed flood discharge volume and the simulated unburned scenario, including model errors (i.e., flood discharge enhancement), during the post‐fire years were assessed. Substantial post‐fire discharge increases, with an average 17.1% increment in 83.3% of watersheds, were found during the first post‐fire year. Statistically significant positive correlations (p < 0.01) were found between the enhancement in discharge volume and the percentage of burned watershed area. We quantified wildfire impacts by adjusting the curve number (CN) in the SWAT model, with CN values increasing by increments ranging from 16.5% to 30% of their original values, depending on burn severity and land use type. A novel relationship between wildfire area burned and CN increment could be described by the equation %CN increment = 0.39 × wildfire area burned % + β, which highlights the proportional increase in CN due to wildfire area burned. The study also showed that incorporating historical wildfire activity significantly raised the probable maximum flood, with discharge volume increases between 3.74% and 25.9%. These wildfire‐induced increases are on par with California's climate change projections (10%–50%), underscoring the need to factor in wildfire effects in flood risk assessments and water management strategies at this type of location.
Sensitivity of the Pseudo-Global Warming Method for Simulating Heavy Rainfall Associated with Mesoscale Convective Systems

Ryotaro Tahara, Yusuke Hiraga

ESS Open Archive (Pre-print)　2025/04/01

DOI： 10.22541/essoar.174347949.96016607/v1 　
Climate change effects on the localized heavy rainfall event in northern Japan in 2022: Uncertainties in a pseudo-global warming approach Peer-reviewed

Ryotaro Tahara, Yusuke Hiraga, So Kazama

Atmospheric Research　314　107780-107780　2025/03
Publisher: Elsevier BV
DOI： 10.1016/j.atmosres.2024.107780 　

ISSN： 0169-8095
Sensitivity of localized heavy rainfall in Northern Japan to WRF physics parameterization schemes Peer-reviewed

Yusuke Hiraga, Ryotaro Tahara

Atmospheric Research　314　107802-107802　2025/03
Publisher: Elsevier BV
DOI： 10.1016/j.atmosres.2024.107802 　

ISSN： 0169-8095
QUANTITATIVE ASSESSMENT OF THE IMPACT OF INUNDATION DAMAGE CAUSED BY RECENT FLOODS ON THE POPULATION USING DIFFERENCE-IN-DIFFERENCES Peer-reviewed

Hayata YANAGIHARA, Ayaka OKAMOTO, So KAZAMA, Yusuke HIRAGA, Jun YOSHIDA

Japanese Journal of JSCE　81　(16)　2025
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejj.24-16071 　

eISSN： 2436-6021
Land subsidence in Bangkok vicinity: Causes and long-term trend analysis using InSAR and machine learning Peer-reviewed

Sakina Ahmed, Yusuke Hiraga, So Kazama

Science of The Total Environment　946　174285-174285　2024/10
Publisher: Elsevier BV
DOI： 10.1016/j.scitotenv.2024.174285 　

ISSN： 0048-9697
Response of Precipitation Increases to Changes in Atmospheric Moisture and Its Flux in the Columbia River Basin: WRF Model–Based Precipitation Maximization for PMP Studies Peer-reviewed

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Angela M. Duren, John F. England, M. Levent Kavvas

Journal of Hydrologic Engineering　29　(3)　2024/06
Publisher: American Society of Civil Engineers (ASCE)
DOI： 10.1061/jhyeff.heeng-6169 　

ISSN： 1084-0699

eISSN： 1943-5584
Synoptic Scale Controls on Warm Season Precipitation Deficit in the US Northern Rockies: A Driver of Recent Wildfire Activities Peer-reviewed

Yusuke Hiraga, M. Levent Kavvas

World Environmental and Water Resources Congress 2024　207-220　2024/05/16
Publisher: American Society of Civil Engineers
DOI： 10.1061/9780784485477.018 　
Model‐based estimation of long‐duration design precipitation for basins with large storage volumes of reservoirs and snowpacks Peer-reviewed

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Angela M. Duren, John F. England, Chris D. Frans, M. Levent Kavvas

Journal of Flood Risk Management　2024/04/18
Publisher: Wiley
DOI： 10.1111/jfr3.12992 　

ISSN： 1753-318X

eISSN： 1753-318X

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Abstract This study proposes a model‐based methodology to estimate design precipitation for long durations during the winter and spring seasons (October to June) through its application to the drainage areas of two dams in the Columbia River Basin, United States. For basins with large reservoir storage or snowpack, design precipitation and floods need to be estimated based on long‐duration processes rather than focusing only on flood peaks or single storm durations. This study used the advanced research version of weather research and forecasting (WRF) model to maximize the target precipitation over the drainage areas by means of the Atmospheric Boundary Condition Shifting and Relative Humidity Perturbation with relaxed moisture flux thresholds. The greatest cumulative basin‐average precipitation depths during Oct–Jun were estimated to be 1220.5 and 1595.4 mm for the drainage areas of Bonneville and Libby Dams, respectively. The 95% confidence interval (CI) of the exceedance probabilities of the estimated design precipitation depths were found to range from 10⁻³ to 10⁻⁵ at Bonneville Dam's drainage area. Those orders were found to be comparable with the documented exceedance probabilities of PMP/PMF in the US. The estimated design precipitation and corresponding atmospheric/land‐surface fields together will drive a physical model to estimate the design flood.
A comparative spatial analysis of flood susceptibility mapping using boosting machine learning algorithms in Rathnapura, Sri Lanka Peer-reviewed

Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga, Chaminda Samarasuriya

Journal of Flood Risk Management　17　(2)　2024/03/07
Publisher: Wiley
DOI： 10.1111/jfr3.12980 　

ISSN： 1753-318X

eISSN： 1753-318X

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Abstract Identifying flood‐prone areas is essential for preventing floods, reducing risks, and making informed decisions. A spatial database with 595 flood inventory and 13 flood predictors were used to implement five boosting algorithms: gradient boosting machine (GBM), extreme gradient boosting, categorical boosting, logit boost, and light gradient boosting machine (LGBM) to map flood susceptibility in Rathnapura while evaluating trained model's generalizing ability and assessing the feature importance in flood susceptibility mapping (FSM). The model performance was evaluated using the F1‐score, kappa index, and area under curve (AUC) method. The findings revealed that all the models were effective in identifying the overall flood susceptibility trends while LightGBM model had superior results (F1‐score = 0.907, Kappa value = 0.813 and AUC = 0.970), securing the top scores across all performance metrics compared to the other models (for testing dataset). Based on kappa evaluation, most of the models had finer performance (AUC _min = 0.737) while LightGBM had moderate performance for predictions beyond the training region. According to the results, regions with lower altitudes and topographic roughness values, moderate rainfall, and proximity to rivers are more susceptible to flooding. This framework can be adapted for rapid FSM in data‐deficient regions.
人口減少に伴う土地利用及び河道条件変化による中小河川の流量変動 Peer-reviewed

井下雄揮, 千葉皓太, 風間聡, 平賀優介

土木学会論文集特集号（水工学）　80　(16)　2024/02
Maximization of Precipitation Sequences during wintertime in the Columbia River Basin and its analysis Peer-reviewed

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Chris D. Frans, Angela M. Duren, John F. England, M. Leven, Kavvas

Journal of JSCE Special issue (Hydraulic Engineering)　12　(2)　2024/02
Viticulture Suitability Estimates Under Climate Change in Japan

Yusuke Hiraga, Takuya Matsumoto

2024
Publisher: Elsevier BV
DOI： 10.2139/ssrn.5001991 　
UNDERSTANDING RIVER SPACE USE BASED ON MOBILE SPATIAL STATISTICS IN JAPAN Peer-reviewed

Kazuya ITO, Yusuke HIRAGA, So KAZAMA

Japanese Journal of JSCE　80　(27)　2024
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejj.24-27020 　

eISSN： 2436-6021
A novel hybrid approach of spatial prediction of flood susceptibility in Sri Lanaka using bivariate index of entropy and support vector machine models Peer-reviewed

Kumudu Madhawa Kurumaga, So Kazama, Yusuke Hiraga, Chaminda Samarasuriya

土木学会論文集G（環境）　2023/09
洪水被害による市区町村の人口変動とその要因に関する統計的分析 Peer-reviewed

岡本彩香, 柳原駿太, 風間聡, 平賀優介

土木学会論文集G(環境)　79　(5)　2023/09
STATISTICAL ANALYSIS OF MUNICIPAL POPULATION CHANGE AND THEIR FACTORS CAUSED BY FLOOD DAMAGE

Ayaka OKAMOTO, Hayata YANAGIHARA, So KAZAMA, Yusuke HIRAGA

Japanese Journal of JSCE　79　(27)　n/a-n/a　2023
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejj.23-27044 　

eISSN： 2436-6021
A numerical modeling study for estimating maximum precipitation sequence during the wet season and precipitation deficit conditions during the fire season in the Northwestern US Peer-reviewed

Yusuke Hiraga

UC Davis Doctoral Dissertation　2022/12
Hydrological and Meteorological Controls on Large Wildfire Ignition and Burned Area in Northern California during 2017-2020 Peer-reviewed

Yusuke Hiraga, M. Levent Kavvas

Fire　2021/11

DOI： 10.3390/fire4040090 　
Evaluation of the impact of landfill on floodplain water quality in a tropical monsoon region Peer-reviewed

Yusuke Hiraga, So Kazama, Chaiwat Ekkawatpanit, Keitaro Yamada

Hydrological Research Letters　14　(1)　48-55　2020/03
Publisher: Japan Society of Hydrology and Water Resources
DOI： 10.3178/hrl.14.48 　

eISSN： 1882-3416
Evaluating the effect of active fault intersection with buried gas pipelines using DEM Peer-reviewed

Yusuke Hiraga, Hisashi Taniyama, Guoqiang Cao, Norihiko Hashimoto

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions　2019/10/22
Publisher: CRC Press
DOI： 10.1201/9780429031274 　
メコン河氾濫原の干拓が流域環境に及ぼす影響評価 Peer-reviewed

平賀優介, 風間聡, 峠嘉哉

土木学会論文集B1(水工学)　73　(4)　I_283-I_288　2017/03
Publisher:
DOI： 10.2208/jscejhe.73.I_283 　

ISSN： 1880-8751
EFFECT OF RECLAMATION ON THE WATERSHED ENVIRONMENT OF THE LOWER MEKONG RIVER BASIN Peer-reviewed

Yusuke HIRAGA, So KAZAMA, Chaiwat Ekkawatpanit, Yoshiya TOUGE

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　73　(4)　I{\_}283-I{\_}288　2017/03
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.73.i_283 　

ISSN： 2185-467X
RELATIONSHIP BETWEEN FLOODING AND NET PRIMARY PRODUCTIVITY IN THE LOWER MEKONG RIVER BASIN Peer-reviewed

Yusuke HIRAGA, So KAZAMA, Daisuke KOMORI

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)　73　(4)　I{\_}307-I{\_}312　2017
Publisher: Japan Society of Civil Engineers
DOI： 10.2208/jscejhe.73.i_307 　

ISSN： 2185-467X
Impacts of flooding on Net Primary Productivity in the floodplain being affected by anthropic pressures Peer-reviewed

Yusuke Hiraga, Ayako Amano, So Kazama

APD-IAHR　2016/08

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Misc. 2

自己紹介

平賀優介

水文水資源学会誌　2022/12
タイ国アジア工科大学院での長期留学ー土木の国際化への貢献を目指してー

平賀優介

土木学会誌　2017/02

Presentations 69

Seasonal Inflow Forecasting Based on a Physically Based Hydro-Climatic Model for the Shasta Lake Basin, California

Naditha D. Imbulana, Levent M. Kavvas, Yoshihiko Iseri, Felipe Ulloa Henriquez, Zeynep Ozcan, Emily Snider, Michael L. Anderson, Yusuke Hiraga

ASCE World Environmental & Water Resources Congress 2025　2025/05/22
Maximum Precipitation scenarios of line-shaped Mesoscale Convective Systems in a warming climate: numerical model-based estimation

Yusuke Hiraga

ASCE World Environmental & Water Resources Congress 2025　2025/05/22
Effects of Large Wildfire Burned Scars on Downstream Flood Discharge in California Watersheds; A Hydrological Modeling Study

Yusuke Hiraga, Wasitha Dilshan, So Kazama

ASCE World Environmental & Water Resources Congress 2025　2025/05/22
Assessing the Influence of Observation Network Density and Update Intervals on Hydrological Data Assimilation Performance

Kumudu Madhawa Kurugama, Yusuke Hiraga, So Kazama

JSCE Tohoku branch conference　2025/03/01
Advancing Probable Maximum Precipitation Estimation: A Deep Learning Approach Using High-Resolution Ensemble Data

Wasitha Randeepa, Ranga Dilshan, Yusuke Hiraga, Jose Angelo Hokson

JSCE Tohoku branch conference　2025/03/01
携帯電話情報を用いた河川親水施設の時空間利用実態分析

伊藤和也, 平賀優介, 風間聡

JSCE Tohoku branch conference　2025/03/01
Mitigating Shallow Landslides through Weather Control Using a Statistically-Based Model during the 2014 Hiroshima Heavy Rainfall Event

王譯唯, 小野桂介, 平賀優介, 風間聡

JSCE Tohoku branch conference　2025/03/01
気候変動がワイン用ブドウ栽培に与える影響の評価

松本拓也, 平賀優介, 風間聡

JSCE Tohoku branch conference　2025/03/01
大規模アンサンブルデータとレーダー・アメダス解析雨量に基づく極値降雨分布の比較

松浦智亮, 平賀優介, 風間聡

JSCE Tohoku branch conference　2025/03/01
Downscaling GRACE Groundwater Storage Using SRGAN for Enhanced Aquifer Management

Sakina Ahmed, Yusuke Hiraga, So Kazama

JSCE Tohoku branch conference　2025/03/01
メソ対流系を対象とした数値気象モデルによる新たな想定最大規模降雨推定手法の検討

田原亮太郎, 平賀優介

土木学会東北支部技術研究発表会　2025/03/01
Clustering CMIP6 Models Based on Regional Sea Surface Temperature

Jose Angelo Hokson, Yusuke Hiraga

JSCE Tohoku branch conference　2025/03/01
Sensitivity Analysis of Expanding Cloud Seeding Locations for Rainfall Reduction: A WRF Model-based Study of the 2014 Hiroshima Heavy Rainfall Event

Jacqueline Muthoni Mbugua, Yusuke Hiraga

JSCE Tohoku branch conference　2025/03/01
Effects of wetland loss on the regional temperature: Case study of 2023 heatwave event in Southeast Asia

Liu Chang, Yusuke Hiraga, So Kazama

JSCE Tohoku branch conference　2025/03/01
Response of Simulated Extreme Precipitation to Thermodynamic Changes in Pseudo-Global Warming

Yusuke Hiraga

105th AMS Annual Meeting　2025/01
Model-Based Estimation of Probable Maximum Precipitation (PMP) Under Climate Change and Its Frequency Analysis

Yusuke Hiraga

105th AMS Annual Meeting　2025/01
Cloud seeding experiment to mitigate localized heavy rainfall and subsequent landslides in the 2014 Hiroshima heavy rainfall event, Japan: WRF model-based analysis

Yusuke Hiraga, Shunji Kotsuki, Jacqueline Mbugua, Takuya Funatomi, Hiroyuki Kubo, Wang Yiwei, So Kazama

AGU24　2024/12
Model-based PMP estimation under future climate change for Maipo River Basin in Chile

Yusuke Hiraga, Joaquin Meza

AGU24　2024/12
Sensitivity of the localized heavy rainfall to pseudo-global warming-induced change: A case study of August 2022 “Senjo-kousuitai” Event in Tohoku, Japan

Ryotaro Tahara, Yusuke Hiraga

AGU24　2024/12
Effect of Weather Control to Slope Failures

Yiwei Wang, Keisuke Ono, Yusuke Hiraga, So Kazama

International Symposium on Weather Controllability 202　2024/10/06
Cloud seeding experiment to mitigate localized heavy rainfall and subsequent landslides in the 2014 Hiroshima heavy rainfall event, Japan: WRF model-based analysis

2024/10/06
熱収支モデルを用いた流域環境の変化に伴う中小河川の水温分析

井下雄揮, 風間聡, 平賀優介

第32回地球環境シンポジウム　2024/09/24
メコン河下流域における氾濫原湿地の変化とその要因分析

青木真優, 平賀優介, 風間聡

第32回地球環境シンポジウム　2024/09/24
空間再現ディスプレイを用いた豪雨災害における介入シミュレーションの可視化

久保尋之, 舩冨卓哉, 平賀, 優介, 小槻峻司

Visual Computing 2024　2024/09/11
気候変動に伴う熱環境場の変化が線状降⽔帯に及ぼす影響：2022年8⽉東北‧北陸豪⾬事例を対象として

田原亮太郎, 平賀優介

水文水資源学会　2024/09/10
WRFモデルによるメソ対流系を対象としたPMP推定のための数値実験

平賀優介

水文水資源学会　2024/09/10
東日本におけるワイン用ブドウの栽培適地の要因分析と将来予測

松本拓也, 平賀優介, 風間聡

土木学会全国大会　2024/09/06
水管理機能を組み込んだ田んぼダム装置の治水効果・水位管理効果の評価 -吉田川を対象にして-

久保奎太, 佐々木萌, 井下雄揮, 平賀優介, 風間聡, 高橋範仁

土木学会全国大会　2024/09/06
河川親水空間の訪問者数の推定と分析

伊藤和也, 平賀優介, 風間聡

土木学会全国大会　2024/09/06
メコン河下流域における氾濫原湿地の変化およびその要因分析

青木真優, 平賀優介, 風間聡

土木学会全国大会　2024/09/05
数値気象モデルを用いた想定最大規模降雨の推定：令和4年8月豪雨を対象として

平賀優介, 田原亮太郎, 風間聡

土木学会全国大会　2024/09/05
2022年8月東北地方豪雨を対象とした気候変動による熱環境場変化に伴う線状降水帯の将来変化

田原亮太郎, 平賀優介, 風間聡

土木学会全国大会　2024/09/05
Sensitivity of the rainfall to the weather control practices in extreme events: WRF model-based analysis on the 2014 Hiroshima rainfall event”

Yusuke Hiraga

9th Global Energy and Water Exchanges (GEWEX) Open Science Conference 2024　2024/07/09
Model-Based PMP Estimation For The Maipo River Basin In Chile

Yusuke Hiraga, Joaquin Meza

9th Global Energy and Water Exchanges (GEWEX) Open Science Conference 2024　2024/07/09
Response of Band-shaped Rainfall to Changes in Atmospheric Moisture in Tohoku, Japan

Yusuke Hiraga, Ryotaro Tahara, So Kazama

Asia Oceania Geosciences Society (AOGS) 2024 Annual Meeting　2024/06/28
Sensitivity of the Rainfall to the Weather Control Practices in the Recent Japanese Heavy Rainfall Events: WRF Model-based Analysis

Yusuke Hiraga

Asia Oceania Geosciences Society (AOGS) 2024 Annual Meeting　2024/06/27
Climate Change-induced Thermodynamic Effects on the Localized Heavy Precipitation: The August 2022 Senjo-kousuitai Event in Tohoku, Japan

Ryotaro Tahara, Yusuke Hiraga

Asia Oceania Geosciences Society (AOGS) 2024 Annual Meeting　2024/06/25
Physical model-based maximization of historical precipitation in the basin with complex topography

Yusuke Hiraga, Joquin Meza

2024/06
中学高校生の水理現象に対する興味関心向上に向けた取り組み－サイフォン式排水模型の活用事例紹介－

会田俊介, 風間聡, 平賀優介

土木学会東北支部技術研究発表会　2024/03/02
Assessing the Transferability of Boosting Machine Learning Models for Predicting Flood Susceptibility in Data-Scarce Regions

Kumudu Madhawa Kurugama, So Kazama, Yusuke Hiraga・Chaminda Samarasuriya

2024/03/02
近年の洪水被害が市区町村間の人口移動に与える影響の定量分析

柳原駿太, 風間聡, 岡本彩果, 平賀優介

土木学会東北支部技術研究発表会　2024/03/02
東南アジアにおける氾濫原湿地面積の変化とその要因分析

青木真優, 平賀優介, 風間聡

土木学会東北支部技術研究発表会　2024/03/02
河川親水空間の訪問者数の推定と分析- モバイル空間統計を用いて-

伊藤和也, 平賀優介, 風間聡

土木学会東北支部技術研究発表会　2024/03/02
気候変動による熱環境場の変化が線状降水帯に与える影響の評価-2022年8月東北地方豪雨を対象にして-

田原亮太郎, 平賀優介, 風間聡

土木学会東北支部技術研究発表会　2024/03/02
差分の差分法を用いた浸水被害による人口移動の実証分析

岡本彩果, 柳原駿太, 風間聡, 平賀優介

土木学会東北支部技術研究発表会　2024/03/02
東日本全域を対象としたワイン用ブドウの栽培適地の要因分析と将来予測

松本拓也, 平賀優介, 風間聡

土木学会東北支部技術研究発表会　2024/03/02
Sensitivity analysis of the recent heavy precipitation events over southwestern Tohoku using TIGGE ensembles

2024/03/02
Effects of wildfire burned scars on downstream annual maximum discharge in the western US watersheds

Wasitha Dilshan, Yusuke Hiraga, So Kazama, Chaminda Samarasuriya

2024/03/02
Land Subsidence in Bangkok Vicinity: Causes and Long-Term Trend Analysis Using InSAR and Random Forest

Sakina Ahmed, Yosuke Hiraga, So Kazama

2024/03/02
WRFモデルによる令和4年8月豪雨の再現計算と水蒸気流入に対する感度分析

平賀優介, 田原亮太郎, 風間聡

土木学会東北支部技術研究発表会　2024/03/02
Maximizing Atmospheric River-induced precipitation in the Maipo River Basin, Chile

Yusuke Hiraga, Joaquin Meza

International Symposium on Water Environment Systems ---with Perspective of Global Safety　2023/11/17
モバイル空間統計を用いた河川空間利用人口の推計と分析

伊藤和也, 平賀優介, 風間聡, 柳原駿太

土木学会全国大会　2023/09
Relationship Between Population Change and Regional Characteristics Caused by Flood Damage

Ayaka OKAMOTO, So KAZAMA, Hayata YANAGIHARA, Yusuke HIRAGA

Asia Oceania Geosciences Society (AOGS2023)　2023/08
Model-based Estimation of Long-duration Design Precipitation

Yusuke HIRAGA, Yoshihiko ISERI, Levent KAVVAS, Michael WARNER, Angela DUREN, John ENGLAND, Chris FRANS

Asia Oceania Geosciences Society (AOGS)　2023/08
洪水被害による市区町村の人口動態と地域特性

岡本彩果, 風間聡, 柳原駿太, 平賀優介

土木学会東北支部技術研究発表会　2023/03/04
モバイル空間統計を用いた河川空間利用人口動態の分析

伊藤和也, 平賀優介, 風間聡, 柳原駿太

土木学会東北支部技術研究発表会　2023/03/04
Long-duration Design Precipitation Estimation using the WRF model

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Chris D. Frans, Angela M. Duren, John F. England, M. Levent Kavvas

Japan Society of Civil Engineers, Tohoku Branch　2023/03/04
Long-duration Maximum Precipitation (MP) Estimation using a Numerical Weather Model over Columbia River Basin: Atmospheric River-induced precipitation maximization

Yusuke Hiraga, Yoshihiko Iseri, Michael D. Warner, Chris D. Frans, Angela M. Duren, John F. England, M. Levent Kavvas

World Environmental & Water Resources Congress conference　2022/06/05
Long-duration Maximum Precipitation Estimation for large basins dominated by Atmospheric Rivers

2021/09/10
Maximum Precipitation Approach for the Columbia River Basin Dams

2021/09
Assessing the impact of Floodplain Landfill on Hydrology and Water Quality in the Lower Mekong River Basin by Numerical Modeling and Field Survey

American Geophysical Union, Fall Meeting　2020/12
Possible Adaptation Options for the Impact of Climate Change in Different Sectors of Sri Lanka: A Review

Miyuru Bandara Gunathilake, Yusuke Hiraga

7th Conference on Sri Lanka-Japan Collaborative Research　2019/08
Evaluating the effect of active fault intersection with buried gas pipelines using DEM

Yusuke Hiraga, Hisashi Taniyama, Guoqiang Cao, Norihiko Hashimoto

Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions　2019/06/18
Automatic identification system of crack detection waveform using Deep Learning

Yusuke Hiraga

International Gas Union R&D&I Tokyo Meeting　2018/09/27
メコン河下流域における湿地の干拓が流域環境に与える影響評価

2017/03/04
Impacts of flooding on Net Primary Productivity in the floodplain being affected by anthropic pressures

Yusuke Hiraga, Ayako Amano, So Kazama

International Association for Hydro-Environment Engineering and Research-Asian and Pacific Division　2016/08
メコン河下流域における洪水氾濫と純一次生産量

平賀優介, 天野文子, 風間聡

水文・水資源学会　2015/09/09
Relationship between flooding and Net Primary Productivity in the downstream basin of the Mekong River

International Union of Geodesy and Geophysics (IUGG)　2015/06/25
中学高校生の水理現象に対する興味関心向上に向けた取り組み－サイフォン式排水模型の活用事例紹介－

会田俊介, 風間聡, 平賀優介

土木学会全国大会

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Industrial Property Rights 14

情報処理システム、情報処理装置、および、プログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

特許第7240290号

Property Type: Patent
対象物選出システム、対象物選出装置およびプログラム

佐久間博久, 久米村秀明, 穴太聖哉, 森畑崇, 中里直人, 平賀優介

特許第7236350号

Property Type: Patent
センサ保守システム、情報処理装置、および、プログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

特許第7202989号

Property Type: Patent
情報処理システム及びプログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

特許第7190986号

Property Type: Patent
感震システム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
振動情報収集システム

佐久間博久, 久米村秀明, 穴太聖哉, 森畑崇, 中里直人, 平賀優介

Property Type: Patent
情報収集システム、情報収集装置およびプログラム

佐久間博久, 久米村秀明, 穴太聖哉, 森畑崇, 中里直人, 平賀優介

Property Type: Patent
感震センサおよび振動分析システム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
センサ保守システム、情報処理装置、および、プログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
情報処理システム、情報処理装置、および、プログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
対象物選出システム、対象物選出装置およびプログラム

佐久間博久, 久米村秀明, 穴太聖哉, 森畑崇, 中里直人, 平賀優介

Property Type: Patent
情報提供システム及びプログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
情報処理システム及びプログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent
情報処理システム及びプログラム

中里直人, 穴太聖哉, 平賀優介, 森畑崇, 佐久間博久, 久米村秀明

Property Type: Patent

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Research Projects 10

線状降水帯をもたらす大気の川の特徴の解明

平賀優介

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 若手研究

Institution: 東北大学

2024/04/01 - 2027/03/31
Artificial generation of upstream maritime heavy rains to govern intense-rain-induced disasters over land (AMAGOI)

Shunji Kotsuki (PM), Toshiyuki Ohtsuka, Masaki Ogura, Daisuke Matsuoka, Hiroshi Kera, Keita Tokuda, Yoshihiko Susuki, Yusuke Imoto, Atsushi Okazaki, Kaya Kanemaru, Kazuaki Yasunaga, Atsushi Hamada, Yusuke Hiraga, Hirohiko Masunaga, Tatsuya Shigemoto, Takuya Kondo, Satoko Fukushige, Yuji Kamura, Tomoharu Hori, Masafumi Yamada, Shinji Yamada, So Kazama, Koji Tachibana, Takuya Funatomi, Hiroyuki Kubo

Offer Organization: Japan Science and Technology Agency

System: MOONSHOT

2023/12 - 2027/03
大気と陸面をシームレスにつなぐ豪雨・洪水シミュレーターの開発

Offer Organization: 東北大学

System: はばたく若手支援事業

2024/10 - 2026/03
線状降水帯の気象場変化に対する応答の解明: WRFアンサンブル計算を用いて

平賀優介, 滝沢寛之

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

System: 公募型共同研究課題

2024/04 - 2025/03
物理モデルを用いた新たな想定最大規模洪水の推定手法の開発

平賀優介

Offer Organization: 一般社団法人東北地域づくり協会

System: 技術開発・研究支援事業

2024/04 - 2025/03
気象予測解析に基づく風況の長期予測技術の開発

平賀優介

Offer Organization: 東京瓦斯株式会社

System: 共同研究

Institution: 国立大学法人東北大学

2024/04 - 2025/03
物理的に生じ得る最大クラスの豪雨の推定とその頻度解析

平賀優介

Offer Organization: 公益財団法人鹿島学術振興財団

System: 一般研究助成

2024/04 - 2025/03
Maximum Precipitation estimation using a numerical weather model for Senjo-kousuitai events in the Tohoku region, Japan

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Research Activity Start-up

Institution: Tohoku University

2023/08 - 2025/03
田んぼダムの社会実装に資する調査

平賀優介

Offer Organization: 株式会社建設技術研究所

System: 委託研究

Institution: 国立大学法人東北大学

2023/12 -
長期気象水文プロセスを対象とした新たな洪水シナリオ推定手法の開発

平賀優介

Offer Organization: 一般社団法人東北地域づくり協会

System: 技術開発・研究支援事業

Institution: 東北大学大学院工学研究科土木工学専攻

2023/06 -

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Teaching Experience 4

基礎設計A　東北大学
Hydro-Environmental Design Ⅰ　Tohoku University
Hydro-Environmental Design　Tohoku University
社会環境工学実験　Tohoku University

Academic Activities 6

External Relations Chair

2021/09/01 - 2022/08/31

Activity type: Academic society, research group, etc.
American Geophysical Union (AGU) annual meering 2024: A54F Modeling and Untangling Climate-Hydrology-Ecology Interactions Through Extreme Events II

2024/12 -

Activity type: Academic society, research group, etc.
Asia Oceania Geosciences Society (AOGS) 2024: HS51 Understanding of Hydrometeorologic Extremes Under a Warming Climate: Observations and Future Projections

2024/06 -

Activity type: Academic society, research group, etc.
Asia Oceania Geosciences Society (AOGS): HS19 Climate Change Impacts on Regional Hydrological Issues: Projections and Adaptation Strategies

2024/06 -

Activity type: Academic society, research group, etc.
ASCE World Environmental & Water Resources Congress 2025: Hydroclimatology of Droughts: Past, Present and Future
Reviewers

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