Flooding is one of the most impactful weather‐related natural hazards. Numerical models
that solve the two dimensional (2D) shallow water equations (SWE) represent the first …

Applying machine learning (ML) and fuzzy inference systems (FIS) requires large datasets to
obtain more accurate predictions. However, in the cases of oil spills on ground …

We develop a new quantifier for forward time uncertainty for trajectories that are solutions of
models generated from data sets. Our uncertainty quantifier is defined on the phase space in …

Coastal zone compound flooding (CF) can be caused by the interactive fluvial and oceanic
processes, particularly when coastal backwater propagates upstream and interacts with high …

Oil pollution influences marine biology, ecology, and regional sustainable development
capacity, but model uncertainties limit the ability of the numerical model to accurately predict …

Oil spills on the ground cause significant damage to the geological environment, including
groundwater, contaminating it and making it uninhabitable. Therefore, it is necessary to …

Oil spills caused by ship collisions and offshore oil wells are an ongoing risk for estuaries in
the northern Gulf of Mexico. The fate and transport of the oil spill across the interface …

In this article we analyze the linear parabolic partial differential equation with a stochastic
domain deformation. In particular, we concentrate on the problem of numerically …

Considering the randomness and complexity of oil spill accidents on the ground, the oil spill
volume, the spilled oil density, the spreading coefficient of oil product on the surface layer …

The oil industry carries enormous environmental risks and can cause consequences at
different levels: water, air, soil, and, therefore, all living things on our planet. In this regard …