EM-T1Journal of Flood Risk Management202215(4)Residential building flood damage: Insights on processes and implications for risk assessmentsRyan Paulik, Alec J. Wild, Conrad R. Zorn, Liam M Wotherspoon被引 42阅读 2高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards2024120(14): 13493-13512Residential building and sub-building level flood damage analysis using simple and complex modelsRyan Paulik, Conrad R. Zorn, Liam M Wotherspoon被引 6阅读 3基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards Review202526(2)Methodology for Virtual Damage Assessment and First-Floor Elevation Estimation: Application to Fort Myers Beach, Florida and Hurricane Ian (2022)Sebastião Appleton Figueira, Mehrshad Amini, Daniel T. Cox, André R. Barbosa被引 8阅读 2高影响力 前 10%开放获取社会学与政治学
EM-T1Journal of Flood Risk Management202518(3)Key Drivers of Flash Flood Damage to Private HouseholdsDaniela Rodríguez Castro, Kasra Rafiezadeh Shahi, Nivedita Sairam, Melanie Fischer 等 8 人被引 7阅读 3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金融风险与机器学习
EM-T1Journal of Flood Risk Management202316(4)Evaluating the spatial application of multivariable flood damage modelsRyan Paulik, Conrad R. Zorn, Liam M Wotherspoon被引 7阅读 3基金开放获取全球变化洪涝风险与减灾
EM-T1International Journal of Disaster Risk Reduction202157: 102148-102148Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regionsMark Bawa Malgwi, Matthias Schlögl, Margreth Keiler被引 69阅读 2高影响力 前 10%开放获取全球变化洪涝风险与减灾应急治理与韧性政策
EM-T1Natural Hazards and Earth System Sciences201717(9): 1683-1696Multi-variable flood damage modelling with limited data using supervised learning approachesDennis Wagenaar, Jurjen de Jong, Laurens M. Bouwer被引 106阅读 3高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1Risk Analysis202041(1): 37-55Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias CorrectionDennis Wagenaar, Tiaravanni Hermawan, Marc J. C. Van den Homberg, Jeroen C. J. H. Aerts 等 7 人被引 37阅读 4高影响力 前 10%基金开放获取社会学与政治学金融风险与机器学习
EM-T1Environmental Hazards202424(4): 311-338Flood damage models and flood damage factors in a data-scarce river basin, NigeriaAkinola Adesuji Komolafe, Adedeji Seun Ogundare, Idowu Ezekiel Olorunfemi, Philip G. Oguntunde被引 4阅读 1全球变化洪涝风险与减灾
EM-T1Natural Hazards and Earth System Sciences201717(8): 1337-1355A comparative survey of the impacts of extreme rainfall in two international case studiesMatthieu Spekkers, Viktor Rözer, Annegret H. Thieken, Marie‐Claire ten Veldhuis 等 5 人被引 53阅读 1高影响力 前 10%基金开放获取全球变化应急物资配置与人道物流
EM-T1Natural Hazards and Earth System Sciences201616(12): 2577-2591INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysisFrancesco Dottori, Rui Figueiredo, Mario Lloyd Virgilio Martina, Daniela Molinari 等 5 人被引 180阅读 3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 Reduction202162: 102407-102407Analysis of pluvial flood damage costs in residential buildings – A case study in MalmöShifteh Mobini, Erik D. Nilsson, Andreas Persson, Per Becker 等 5 人被引 31阅读 2基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards Review202425(3)Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine LearningCorinne C Bowers, Katherine A. Serafin, Jack W. Baker被引 7阅读 2全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2023116(3): 3521-3546Comparison of machine learning tools for damage classification: the case of L’Aquila 2009 earthquakeFederica Di Michele, Enrico Stagnini, Donato Pera, Bruno Rubino 等 7 人被引 10阅读 3基金开放获取土木与结构工程复合灾害与灾害链金融风险与机器学习
EM-T1Natural Hazards and Earth System Sciences201515(2): 261-272On the occurrence of rainstorm damage based on home insurance and weather dataMatthieu Spekkers, F.H.L.R. Clemens, Marie‐Claire ten Veldhuis被引 37阅读 2高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-WoSExpert Systems with Applications2023238: 121739-121739Machine learning and cointegration for structural health monitoring of a model under environmental effectsMiguel Rodrigues, Vera Lucia Miguéis, Carlos Félix, Carlos Rodrigues被引 21基金开放获取土木与结构工程金融风险与机器学习
EM-T3European Journal of Trauma and Emergency Surgery202450(5): 2281-2287How does damage control strategy influence organ’s suitability for donation after major trauma? A multi-institutional studyMichele Altomare, Shir Sara Bekhor, Marco Sacchi, Federico Ambrogi 等 23 人被引 0基金开放获取公共卫生、环境与职业健康金融风险与机器学习
EM-T1Natural Hazards and Earth System Sciences202121(2): 643-662Are OpenStreetMap building data useful for flood vulnerability modelling?Marco Cerri, Max Steinhausen, Heidi Kreibich, Kai Schröter被引 35阅读 4基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards and Earth System Sciences201818(7): 2057-2079Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy)Francesca Carisi, Kai Schröter, Alessio Domeneghetti, Heidi Kreibich 等 5 人被引 122阅读 3高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1Journal of Contingencies and Crisis Management202634(2)Does Government Capacity Mitigate Natural Disaster Impacts and Lower Resilience Costs?: Evidence From South Korea's Regional Local GovernmentJooyoung Koo, Gyumin Lee被引 0阅读 3社会学与政治学
