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A parallel program for the simulation of flooding.

Anurak Busaman1,2, Rhysa McNeil3,4, Somporn Chuai-Aree1,2

  • 1Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Muang, Pattani, Thailand.

Scientific Reports
|July 3, 2025
PubMed
Summary

This study developed a faster flood simulation method using a parallel algorithm. The new approach significantly reduces computational time for accurate flood modeling, improving disaster preparedness.

Keywords:
Automatic domain updating methodFinite volume methodFlood simulationParallel algorithmShallow water equations

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Area of Science:

  • Computational fluid dynamics
  • Environmental engineering
  • Numerical modeling

Background:

  • Accurate flood simulations are crucial for disaster prevention but are often computationally intensive.
  • Current methods face limitations in speed and cost for large-scale or time-critical scenarios.

Purpose of the Study:

  • To enhance the computational speed of flood simulations while preserving accuracy.
  • To develop a parallel algorithm for solving shallow water equations efficiently.

Main Methods:

  • Implemented a parallel algorithm using automatic domain updating and a well-balanced, positivity-preserving first-order finite volume scheme.
  • Utilized an index array for efficient domain decomposition and parallel processing across multiple cores.
  • Tested the algorithm with water flow simulations and a real-world dam break scenario (Xe-Pian Xe-Namnoy).

Main Results:

  • The parallel algorithm significantly reduced computational time compared to the serial approach.
  • The developed program demonstrated efficiency in simulating water flow and dam break events.
  • Accuracy was maintained while achieving substantial speed improvements.

Conclusions:

  • The proposed parallel algorithm offers a computationally efficient solution for flood simulations.
  • This advancement can improve the practical application of flood modeling in time-critical situations.
  • The method shows promise for enhancing disaster response and management strategies.