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EM-T1International Journal of Disaster Risk Reduction2026136: 106068-106068Development of a building-scale integrated flood damage quantifying framework using a hydrodynamic model and multisource geospatial dataGan Luo, Wei Jiang, Denghua Yan, BinBin Wu 等 9 人被引 4高影响力 前 10%基金开放获取全球变化洪涝风险与减灾应急治理与韧性政策金融风险与机器学习
EM-T1Journal of Flood Risk Management202518(1)Development of Flash Flood Forecasting System for Small and Medium‐Sized RiversKoji IKEUCHI, Daiki Kakinuma, Yosuke Nakamura, Shingo NUMATA 等 9 人被引 4阅读 1基金开放获取全球变化洪涝风险与减灾疏散行为与风险认知
EM-T1Disaster Prevention and Management202433(5): 561-579Comparative study for underlying concepts of land acquisition during post-disaster recovery in Italy, the United States and JapanKensuke Otsuyama, Tomoyuki MASHIKO, Haruka TSUKUDA被引 5基金开放获取交通运输洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction2024112: 104802-104802Current status and challenges in operating flood early warning systems at the local level in JapanAnh Cao, Shinichiro Nakamura, Kensuke Otsuyama, Miki Namba 等 5 人被引 25高影响力 前 10%基金开放获取全球变化洪涝风险与减灾疏散行为与风险认知
EM-T1International Journal of Disaster Risk Reduction2024112: 104778-104778A systematic framework for assessing social vulnerability to flood for integrated flood risk management: A case study in Metro Manila, PhilippinesJudy Marie T. Dulawan, Yoshiyuki Imamura, Toru Konishi, Hideo AMAGUCHI 等 5 人被引 19高影响力 前 10%开放获取全球变化公平—效率权衡洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction2024110: 104664-104664Post-hazard supply chain disruption: Predicting firm-level sales using graph neural networkShaofeng Yang, Yoshiki Ogawa, Koji IKEUCHI, Ryosuke Shibasaki 等 5 人被引 18高影响力 前 10%基金开放获取战略与管理洪涝风险与减灾金融风险与机器学习
EM-T1International Journal of Disaster Risk Reduction2024108: 104494-104494Integrating geoenvironmental and socioenvironmental analyses for flood vulnerability assessment in the Kullu Valley, Himachal Pradesh, IndiaKesar Chand, Amit Kumar Jamwal, Gowhar Meraj, Twinkle Thakur 等 9 人被引 16高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction2024106: 104433-104433Short-term panel data analysis of the effect of flood risk communication on individual evacuation decisionsMirai Ikegai, Ken Hidaka, Satoki Masuda被引 10高影响力 前 10%开放获取社会学与政治学洪涝风险与减灾疏散行为与风险认知
EM-T1International Journal of Disaster Risk Reduction2024106: 104416-104416Reevaluating the benefit of flood risk management for flood-prone livelihoodsChinami Yamagami, Akiyuki Kawasaki被引 16高影响力 前 10%基金开放获取全球变化洪涝风险与减灾疏散行为与风险认知
EM-T1Natural Hazards2024120(7): 6343-6375Regression modeling of subjective probability of river inundation with epistemic uncertainty: a short-term panel data analysisKen Hidaka, Mirai Ikegai, Satoki Masuda被引 2开放获取全球变化洪涝风险与减灾疏散行为与风险认知
EM-T1International Journal of Disaster Risk Reduction2024102: 104273-104273Accelerated widening of economic disparity due to recurrent floodsAkiyuki Kawasaki, Natsumi Shimomura被引 23高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction202397: 103962-103962Factors motivating residents of flood-prone areas to adopt nature-based solutions for flood-risk reductionKeiko Hori, Tomomi Saito, Osamu Saitô, Shizuka Hashimoto 等 8 人被引 13基金开放获取全球变化洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction202396: 103901-103901Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, BangladeshShammi Haque, Koji IKEUCHI, Badri Bhakta Shrestha, Akiyuki Kawasaki 等 5 人被引 20开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards and Earth System Sciences202323(2): 823-846A globally applicable framework for compound flood hazard modelingDirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi 等 10 人被引 127阅读 3高影响力 前 1%基金开放获取全球变化洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction202281: 103243-103243How the choice of temporary housing impacts on widespread displacement after large-scale flooding? A disaster recovery simulation in Tokyo metropolitan areaNobuhiko Komatsuzaki, Kensuke Otsuyama, U Hiroi被引 11阅读 1基金开放获取交通运输洪涝风险与减灾
EM-T1Journal of Flood Risk Management202215(4)Modelling the behaviour of corporations during the flood damage recovery process using multi‐agent deep reinforcement learningShaofeng Yang, Yoshiki Ogawa, Koji IKEUCHI, Ryosuke Shibasaki 等 5 人被引 5阅读 3基金开放获取全球变化洪涝风险与减灾
EM-T1Risk Analysis202242(12): 2735-2747Modeling the association between socioeconomic features and risk of flood damage: A local‐scale case study in Sri LankaM.M.G.T. De Silva, Akiyuki Kawasaki被引 15阅读 1基金开放获取全球变化洪涝风险与减灾
EM-T1Journal of Flood Risk Management202115(1)A novel approach for determining integrated water discharge from the ground surface to trunk sewer networks for fast prediction of urban floodsLianhui Wu, Yoshimitsu TAJIMA, Hiroshi SANUKI, Yoshihiro Shibuo 等 5 人被引 12基金开放获取环境工程洪涝风险与减灾
