Development and evaluation of a GPU-based coupled three-dimensional hydrodynamic and water quality model

Qiaofeng Ma; Shuxiu Liang; Zhaochen Sun; Ruijin Zhang; Ping Wang

doi:10.1016/j.marpolbul.2022.114494

Development and evaluation of a GPU-based coupled three-dimensional hydrodynamic and water quality model

Mar Pollut Bull. 2023 Feb:187:114494. doi: 10.1016/j.marpolbul.2022.114494. Epub 2022 Dec 27.

Authors

Qiaofeng Ma¹, Shuxiu Liang², Zhaochen Sun¹, Ruijin Zhang³, Ping Wang⁴

Affiliations

¹ State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China.
² State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China. Electronic address: sxliang@dltu.edu.cn.
³ School of Marine Science and Environment Engineering, Dalian Ocean University, Dalian 116023, China; Operational Oceanographic Institution, Dalian Ocean University, Dalian 116023, China.
⁴ National Marine Environmental Monitoring Center, Dalian 116023, China. Electronic address: wangping@nmemc.org.cn.

PMID: 36581522
DOI: 10.1016/j.marpolbul.2022.114494

Abstract

In this study, a graphics processing unit (GPU)-based three-dimensional coupled hydrodynamic and water quality numerical model (GPUOM-WQ) was developed for the first time, which introduces pollution sources of atmospheric deposition, aquaculture wastewater, and oil platform emission to describe marine pollution comprehensively. A test case with analytical solutions and a real case with measured data were used to validate the accuracy of GPUOM-WQ. Simulation results indicate that the maximum error between the numerical and analytical solutions is 0.9 %, and the average relative error between simulated and measured values of 5 water quality variables at 38 stations in spring, summer, fall and winter is 14.63 %. In the real case simulation, GPUOM-WQ accelerates the computation 62.48 times, which is 3.23 times faster than in 64-core central processing unit (CPU) parallel mode. This study makes it possible to accurately simulate the marine water quality variation and spatiotemporal distribution in a high-resolution and efficient way.

Keywords: Coupled hydrodynamic and water quality model; GPU acceleration; Marine pollution source; Three-dimensional.

MeSH terms

Algorithms
Computer Graphics*
Computer Simulation
Hydrodynamics*
Water Quality