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Guest Editors:
Prof. (Dr.) Rajib Maity, Ph.D., FRMetS, Department of Civil Engineering, Indian Institute of Technology Kharagpur, West Bengal, India
Hydrological extremes (intense rainfall, floods, droughts) are increasing globally as one of the prominent manifestations of climate change. This Special Collection explores how Artificial Intelligence/Machine Learning (AI/ML) approaches can be used to analyze and model these extremes using the advantage of extensive data/simulation availability and enhanced computational power in the recent times. The focus of this Special Collection is on applying these advancements for better management of extreme hydrological phenomena in the context of hydraulic design.
Papers in this Collection
Geographical Transferability of Pretrained K-Means Clustering–Artificial Neural Network Model for Disaggregation of Rainfall Data in an Indian Monsoon Climate
Debarghya Bhattacharyya; and Ujjwal Saha, Ph.D.
Published online: September 29, 2023
Time-Varying Evaluation of Compound Drought and Hot Extremes in Machine Learning–Predicted Ensemble CMIP5 Future Climate: A Multivariate Multi-Index Approach
Sushree Swagatika Swain, Aff.M.ASCE; Ashok Mishra; and Chandranath Chatterjee
Published online: January 11, 2024
Application of Hybrid AI Models for Accurate Prediction of Scour Depths under Submerged Circular Vertical Jet
Sai Guguloth; Manish Pandey, M.ASCE; and Manali Pal
Published online: March 19, 2024
Estimating Reservoir Sedimentation Using Machine Learning
Amanda L. Cox, M.ASCE; Deanna Meyer; Alejandra Botero-Acosta; Vasit Sagan; Ibrahim Demir; Marian Muste; Paul Boyd, M.ASCE; and Chandra Pathak, F.ASCE
Published online: April 17, 2024
Modeling High Pan Evaporation Losses Using Support Vector Machine, Gaussian Processes, and Regression Tree Models
Abdullah A. Alsumaiei, Ph.D.
Published online: July 8, 2024
Multivariate Analysis and Anomaly Detection of a US Reservoir Sedimentation Data Set
Alejandra Botero-Acosta; Amanda L. Cox, M.ASCE; Vasit Sagan; Ibrahim Demir; Marian Muste; Paul Boyd, M.ASCE; and Chandra Pathak, F.ASCE
Published online: July 18, 2024