Search Results - "Flood forecasting"

Interpretable feature incorporation machine-learning framework for flood magnitude estimation.

Authors: Ford, Emma Brunner, Manuela I. Christensen, Hannah et al.

Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 7, p2135-2160. 26p.

Subject Terms: *Random forest algorithms, *Flood forecasting, *Climatic classification, *Hydrologic cycle, *Machine learning, *Watersheds

Geographic Terms: United Kingdom

Evaluation of Radar-Derived Polarimetric Precipitation Estimates for Extreme Rain Events Using a Dense Network of Rain Gauges.

Authors: Seo, Bong-Chul Krajewski, Witold F. Smith, James A. et al.

Source: Journal of Hydrometeorology. May2026, Vol. 27 Issue 5, p1-16. 16p.

Subjects: Rain gauges, Flood forecasting, Rainstorms, Meteorological precipitation analysis, Meteorological precipitation

Geographic Terms: Topeka (Kan.), United States, Kansas City (Mo.)

Enhanced Flood Forecasting Using an Adaptive Ensemble Approach for Sustainable Water Management in the Kendrapara District, Odisha.

Authors: Dalai, Chitaranjan Nayak, Ashish Kumar Saranraj, P. et al.

Source: Advances in Civil Engineering. 5/24/2026, Vol. 2026, p1-12. 12p.

Subjects: Flood forecasting, Ensemble learning, Hydrologic models, Measurement uncertainty (Statistics), Watershed management, Parameter estimation

Geographic Terms: Odisha (India), Mahanadi River (India), India

Integration of GIS Data-Based SWAT and SWMM Models for Urban Catchment Flood Simulation and Management.

Authors: Jawale, Priyanka Sharad Thube, A. D. Patil, K. A.

Source: Nature Environment & Pollution Technology. Jun2026, Vol. 25 Issue 2, p1-13. 13p.

Evolution of Flood Forecasting: A Comprehensive Review of Traditional and Sophisticated Approaches.

Authors: Reena, S. Harikrishnan, D. Salaji, S.

Source: Nature Environment & Pollution Technology. Jun2026, Vol. 25 Issue 2, p1-26. 26p.

Vision-Based Environmental Sensing for Flood Risk Forecasting: Dataset Relabeling and Temporal Multi-Task Learning.

Authors: Lee, Seungju Park, Gooman

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3520. 17p.

Development of an AIoT-Based Early Flash-Flood Warning System for Smart Rural Disaster Resilience.

Authors: Wiangnak, Visit Wiboonrat, Montri Duangsuwan, Sarun

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3512. 39p.

Explicit Water Balance Constraints for Trustworthy Graph Neural Network Flood Forecasting.

Authors: Chen, Yuqi Huang, Ruixi Tang, Yue et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4963, 27p

A REVIEW OF THE APPLICATIONS AND ADVANCES OF DISTRIBUTED HYDROLOGICAL MODELS IN FLOOD FORECASTING.

Authors: DUAN, H. K. PAN, Z. H. LIU, H. Q. et al.

Source: Applied Ecology & Environmental Research. 2026, Vol. 24 Issue 3, p4995-5015. 36p.

Evaluation of Coupled Hydrological–Hydrodynamic Scheme Applicability Under Reservoir Regulation in the Huai River Basin.

Authors: Tang, Zhengyang Zhao, Yichen Shu, Zhangkang et al.

Source: Hydrology (2306-5338). May2026, Vol. 13 Issue 5, p122. 19p.

Measurement-Based Framework for Real-Time Flood Prediction in Small Streams Using Rainfall–Discharge Nomographs and Depth–Discharge Rating Curves.

Authors: Cheong, Tae-Sung Kim, Seojun Koo, Kang-Min

Source: Water (20734441). May2026, Vol. 18 Issue 9, p1107. 26p.

A Hybrid Muskingum–Machine Learning Flood Forecasting Model: Application and Evaluation in the Tarim River Basin.

Authors: Wang, Pengyang Zhang, Ling Li, Donglin et al.

Source: Water (20734441). May2026, Vol. 18 Issue 9, p1077. 20p.

变化环境下洪水预报方法转变与创新.

Alternate Title: Transformation and innovation of flood forecasting methods under a changing environment.

Authors: 张建云 谢 康 金君良 et al.

Source: Advances in Water Science / Shuikexue Jinzhan. May2026, Vol. 37 Issue 3, p399-408. 10p.

Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.

Authors: Zhang, Zhi Xiao, Yusha Chen, Biqing et al.

Source: PLoS ONE. 4/20/2026, Vol. 21 Issue 4, p1-25. 25p.

Operational Discharge Severity Analysis and Multi-Horizon Forecasting Based on Reservoir Operation Data: A Case Study of Ba Ha Hydropower Reservoir, Vietnam.

Authors: Huong, Nguyen Thi Tuong, Vo Quang Loc, Ho Huu

Source: Hydrology (2306-5338). Apr2026, Vol. 13 Issue 4, p110. 27p.

Real-time flood forecasting and uncertainty analysis: a case study of the Krong H'nang hydropower reservoir.

Authors: Nguyen, Phuoc Sinh Nguyen, Truong Huy Nguyen, The Hung et al.

Source: International Journal of River Basin Management. Apr2026, Vol. 24 Issue 2, p307-320. 14p.

A GIS-Integrated SWMM-LSTM Framework for Urban Flood Risk Assessment and Mitigation.

Authors: Mohan, A. M. Arun Dafik Santoso, Kiswara Agung et al.

Source: International Journal For Global Academic & Scientific Research (IJGASR). 2026, Vol. 5 Issue 2, p1-31. 31p.

Climate adaptation-aware flood prediction for coastal cities using Deep Learning.

Authors: Hassan, Bilal Karapetyan, Areg Chow, Aaron Chung Hin et al.

Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 5, p1333-1358. 26p.

Subject Terms: *Flood forecasting, *Deep learning, *Hydraulic models, *Absolute sea level change, *Port cities, *Climate change mitigation, *Climate change adaptation, *Convolutional neural networks

Geographic Terms: San Francisco (Calif.), Abu Dhabi (United Arab Emirates)

Evaluating the feasibility of scaling the FIER framework for large-scale flood inundation prediction.

Authors: Markert, Kel N. Lee, Hyongki Williams, Gustavious P. et al.

Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 2, p459-484. 26p.

Subject Terms: *Flood forecasting, *Remote-sensing images, *Statistical models, *Hydrodynamics, *Watershed management, *Hydrologic models, *Stream measurements

Geographic Terms: United States

Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework.

Authors: Maduwantha, Pravin Wahl, Thomas Santamaria-Aguilar, Sara et al.

Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 2, p401-420. 20p.

Subject Terms: *Statistical models, *Flood forecasting, *Sea level, *Tide-waters, *Rainfall probabilities, *Storm surges