Steady and Transient Flow Models for Open Channel Networks

Graph-theoretical finite-difference modelling of steady and transient flow in arbitrary open channel networks. The dataset accompanies a study applying graph theory to reformulate the Preissmann implicit scheme, tested across four network configurations with varied topologies and boundary conditions. Author weixin qiu published the dataset on figshare in April 2026.

Use Cases

• Simulate backflow effects in complex network topologies using the graph-theoretical reformulation of the Preissmann scheme.
• Test model performance under varied boundary conditions such as inflow discharge and water level changes across the four provided network configurations.
• Validate the steady-state computation framework for open-channel networks with arbitrary connectivity.
• Analyze transient flow behavior in response to time-varying inputs within the modelled channel networks.

Strengths

• Model tested across four distinct network configurations with different topologies.
• Dataset supports simulation of both steady-state and transient flow conditions.
• Governing equations are proven to have a unique solution.

Limitations

• Dataset is small in scale at 1.6 MB, limiting the complexity of directly included network models.
• No sample data or column information is available to inspect the internal data structure.
• Real-world validation data for the modelled networks is not included.

Provenance

Source

figshare, author weixin qiu.

Collection Method

Generated through computational modelling applying graph theory to the Preissmann implicit finite-difference scheme.

Freshness

Last updated April 2026.