Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …

Rapid and accurate prediction of peak storm surges across an extensive coastal region is
necessary to inform assessments used to design the systems that protect coastal …

Recent hurricane losses in the New York Metropolitan area demonstrate its vulnerability to
flood hazards. Long-term development and planning require predictions of low-probability …

With the goal to facilitate evaluation and mitigation of the risks from natural hazards, the
Natural Hazards Engineering Research Infrastructure's Computational Modeling, and …

Storm surge generated from low-probability high-consequence tropical cyclones is a major
flood hazard to the New York metropolitan area and its assessment requires a large number …

The present study describes a novel way of a systematic and objective selection procedure
for the development of an Artificial Neural Network-based storm Surge Forecast Model (ANN …

Tsunami evacuation is an effective way to save lives from the near-field tsunami. Realistic
evacuation simulation can provide valuable information for accurate evacuation risk …

This study discusses the development and performance of a rapid prediction system
capable of representing the joint rainfall-runoff and storm surge flood response of tropical …

The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …