Model Library

Graphics processing unit (GPU)-based three-dimensional coupled hydrodynamic and water quality numerical model (GPUOM-WQ)

Model name: Graphics processing unit (GPU)-based three-dimensional coupled hydrodynamic and water quality numerical model (GPUOM-WQ)

Developed by: Researchers at Dalian University of Technology and Dalian Ocean University, led by Dr. Qiaofeng Ma and Dr. Ping Wang (Last update: 2023)

Model type: 3D, numerical, coupled hydrodynamic and water quality, waterbody model

History: The model was developed by coupling a GPU-based hydrodynamic model (GPUOM) with the Water Analysis Simulation Program (WASP)

Computational requirements: Windows/Linux, NVCC compiler

Software requirements: GIS: optional

Link to download model: Not open-source.

Capabilities and Limitations:

Capabilities

  • GPUOM-WQ can run in CPU parallel mode and GPU parallel mode (Ma et al., 2023);
  • The model uses a cell-centered and vertex-centered finite volume hybrid method (CC–CVFVM) for numerical discretization into unstructured triangular and rectangular grids (Ma et al., 2023);
  • It has a fast computational speed and high numerical precision (Ma et al., 2023);
  • The model can simulate seasonal variations of water quality in different locations (Ma et al., 2023).

Limitations

  • Not open-source.
  • GPUOM-WQ has lower acceleration performance for the low-resolution grid cases (spatial resolution 100 m) than the high-resolution grid cases (spatial resolution 3000 m).
  • It was recently developed (Ma et al., 2023).

Model Inputs and Outputs:

Inputs

Spatial data, Initial Conditions, Open Boundary Conditions, Meteorological data, Hydrological data, Water Quality Data, Pollution Source Data

Outputs

  • It simulates water level, current velocity, temperature, salinity, DO, CBOD, phytoplankton, nutrients and derived variables.
  • It can be used to track pollution sources like rivers, atmospheric deposition, aquaculture, and offshore oil platforms by simulating the transport and fate of pollutants.

Example:

Reference

Ma, Q., Liang, S., Sun, Z., Zhang, R., & Wang, P. (2023). Development and evaluation of a GPU-based coupled three-dimensional hydrodynamic and water quality model. Marine Pollution Bulletin, 187, 114494. https://doi.org/10.1016/j.marpolbul.2022.114494

Objectives

The aims of this study were: 1) to develop a 3D coupled hydrodynamic and water quality model (GPUOM-WQ) that includes major marine pollution sources like atmospheric deposition, aquaculture wastewater, and oil platform emissions; 2) to use GPU acceleration and algorithm developments to improve the computational speed of the model; 3) to validate the accuracy and computational speed of GPUOM-WQ through test cases and a real case simulation.