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

This review paper focuses on the use of ensemble neural networks (ENN) in the
development of storm surge flood models. Storm surges are a major concern in 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 …

The rising sea levels due to climate change are a significant concern, particularly for
vulnerable, low-lying coastal regions like the Gulf of Guinea (GoG). To effectively address …

Modeling typhoon-induced storm surges requires 10-m wind and sea level pressure fields
as forcings, commonly obtained using parametric models or a fully dynamical simulation by …

Assessing water quality in arid regions is vital due to scarce resources, impacting health and
sustainable management. This study examines groundwater quality in Assuit Governorate …

In this study, the land subsidence in Yunlin County, Taiwan, was modeled using an artificial
neural network (ANN). Maps of the fine-grained soil percentage, average maximum …

This study proposes a novel, new ensemble model (NEM) designed to simulate the
maximum water level increases caused by storm surges in a frequently cyclone‐affected …

Tropical cyclones strike massive devastation of agricultural crops in South Asian countries
practically every year. For assessing impacts on primary land use and land cover (LULC) …

Abstract The northern Gulf of Mexico coast is affected by the North Atlantic hurricane season,
which causes storm surge disasters every year and brings serious economic losses to the …