EM-T1Natural Hazards2026122(22)Diagnosing region-specific flood influencing factors in a volcanic island using explainable machine learningHyeon‐Tae Moon, Gilho Kim, Kyungtak Kim被引 0基金开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(21): 672-672Forecasting compound sea level extremes: the 29–30 October 2018 Adriatic storm surge and meteotsunami extremeKrešimir Ruić, Jadranka Šepić, Maja Telišman Prtenjak, Kristian Horvath 等 5 人被引 0基金开放获取地表过程洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(19)Peak-oriented one-day-ahead streamflow forecasting using hybrid deep learning: uncertainty quantification, SHAP-based interpretability, and MCDA-based model selectionMohammad Rasoul Sedaghat Rad, Atabak Feizi, Hosein Alizadeh被引 0环境工程金融风险与机器学习
EM-T1Natural Hazards2026122(18)AIoT-enabled urban platform for flood detection and impact mapping: towards near-real-time spatial decision support in disaster managementSk Tahsin Hossain, Tan Yigitcanlar, Zhaohui Lin, Pengjun Zhao被引 0阅读 2开放获取有全文全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(18)Deep learning-based landslide detection using Sentinel-1 SAR imagery in the Chilean PatagoniaFrancisco Parra, Verónica Gil-Costa, Carolina Bonacic, Mauricio Marín被引 0环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Natural Hazards2026122(18): 616-616Investigation of North Sea high-frequency sea-level extremes using long-term sea-level measurementsMia Pupić Vurilj, Gozde Guney Dogan, Marijana Balić, José A. A. Antolínez 等 5 人被引 0基金开放获取有全文地表过程金融风险与机器学习
EM-T1Natural Hazards2026122(18)Decoupling cumulative and differential land subsidence: a multi-scenario machine learning framework using InSAR and hydro-climatic dataAmirreza Shahmiri, Masoud Ebrahimi Derakhshan, Seyed Mostafa Siadatmousavi被引 0航空航天工程金融风险与机器学习
EM-T1Natural Hazards2026122(17)A machine learning-based analysis of the impact of climate-induced stressors on traffic safety in Austin, TXAli Aslani, Farnaz Eskandari, Ayyoob Sharifi被引 0安全、风险、可靠性与质量金融风险与机器学习
EM-T1Natural Hazards2026122(17)Integrated machine-learning and clustering framework for selecting temporary shelters in flood-prone citiesZahra Babaei, Mohammad Sadi Mesgari, Hamed Zibaei, El-Sayed M. El-Kenawy 等 5 人被引 0基金开放获取有全文全球变化应急物资配置与人道物流洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(16)Integrating multi-criteria decision analysis with ensemble machine learning for flood induced landslide prediction and risk mappingV. Sai Shradha, Jayapandian Natarajan被引 0环境管理、监测、政策与法规复合灾害与灾害链洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(15)Spatiotemporal variability of precipitation and meteorological drought in Pakistan: trends, patterns, and machine learning predictionAnwar Hussain, Firdos Khan被引 0全球变化金融风险与机器学习
EM-T1Natural Hazards2026122(15)Machine learning-based ground motion model with finite-fault distance metricsFederico Mori, Gabriele Fiorentino, Giuseppe Naso被引 0阅读 1基金开放获取有全文土木与结构工程应急物资配置与人道物流金融风险与机器学习
EM-T1Natural Hazards2026122(14)A hybrid approach combining meta-heuristic algorithm and machine learning for flood susceptibility mappingLina Mo, Xiaogang Qi, Yize Cai, Cunzhe Lu 等 6 人被引 0阅读 1基金全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(14)Optical–SAR and GIS fusion with physics-informed deep learning for enhanced InSAR-based deformation monitoring in hazard-prone environmentsHadj Sahraoui Omar, Kebir Lahcen Wahib, Bennia Ahmed被引 0航空航天工程金融风险与机器学习
EM-T1Natural Hazards2026122(14)Compound multi-hazard assessment under CMIP6 climate scenarios: tracking seasonal flood-landslide and drought-fire interactions across NepalKripa Shrestha, Karthik Reddy Duddukunta, Pankaj Lal, Md Mehedi Hasan 等 6 人被引 0开放获取有全文环境管理、监测、政策与法规复合灾害与灾害链洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(14)Vision-based human sensor networks for wildfiresJake Lever, Rochelle Schneider, Rossella Arcucci被引 0基金开放获取有全文安全、风险、可靠性与质量应急治理与韧性政策金融风险与机器学习
EM-T1Natural Hazards2026122(14)Uncovering drivers of aboveground biomass recovery after landslide disturbances in tropical montane forest area using explainable machine learningLiqin Yue, Qian Li被引 0环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Natural Hazards2026122(13)A data-driven framework for predicting downstream flood extent from Dez Dam releases using machine learning algorithms and remote sensingMohammad Abaforoushan, Zareie Sajad, Mohamad Azizipour, Mohammad Farhadiyan被引 0开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(13)Identification of soil erosion hotspot zones using integrated machine learning and geospatial modelsDeepak Singh, Nisha Singh, Harendra Singh被引 1高影响力 前 10%土壤科学金融风险与机器学习
EM-T1Natural Hazards2026122(12)Rapid flood extent mapping and exposure assessment using SAR and machine learning in the Küçük Menderes Basin, TürkiyeYusuf Eminoğlu, Hilmi Evren Erdin被引 0基金开放获取全球变化洪涝风险与减灾金融风险与机器学习
