Catastrophic flood events are frequently chosen as reference events, for modelling the
impact of scenarios of river bank remediation to prevent inundations. However, these rare …

This paper details the development of a method for subcritical flow modeling in channel
networks by using the implicit finite-difference method. The method treats backwater effects …

The random walk path method (RWP) is a stochastic model that transforms the solution of
the unsteady open channel flow equations into a probability problem. In this paper, this …

There is growing interest in developing mathematical models and appropriate numerical
methods for problems involving networks formed by, essentially, one-dimensional (1D) …

In open channel networks, flow is usually approximated by the one-dimensional (1D) Saint-
Venant equations coupled with an empirical junction model. In this work, a comparison in …

Wet granular column collapse is a generalized experimental model reflecting wet
geophysical flows widely observed in nature, involving complex coupling among solid …

In this paper, we propose a model for a sewer network coupled to surface flow and
investigate it numerically. In particular, we present a new model for the manholes in storm …

This article enhances the physics‐informed neural networks (PINNs) method to effectively
model the hydrodynamics of real‐world river networks with irregular cross‐sections. First, we …

An unsteady mathematical model for predicting flow divisions at a right-angled open-
channel junction is presented. Existing dividing models depend on a prior knowledge of a …

A well-balanced and positivity-preserving meshless method based on smoothed particle
hydrodynamics (SPH) is developed to simulate one-dimensional (1D) and two-dimensional …