Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

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 …

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 …

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 …

This paper examines the efficient variance-based global sensitivity analysis (GSA),
quantified by estimating first-/higher-order and total-effect Sobol'indices, for applications …

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

Surrogate models (also referenced as metamodels) are recognized as powerful, data-
driven, predictive tools for the approximation (emulation) of storm surge. For this application …

The future of agriculture may be fully realized using knowledge of artificial intelligence (AI)
accumulated by human expertise. With increasing climate change and population pressure …

Bridge construction is one of the cores of traffic infrastructure construction. To better develop
relevant bridge science, this paper introduces the main research progress in China and …