IberWQ: A GPU Accelerated Tool for 2D Water Quality Modeling in Rivers and Estuaries
by
Orlando García-Feal 1,*
, Luis Cea 2, José González-Cao 1, José Manuel Domínguez 1 and Moncho Gómez-Gesteira 1
Orlando García-Feal 1,*, Luis Cea 2, José González-Cao 1, José Manuel Domínguez 1 and Moncho Gómez-Gesteira 1
1
Environmental Physics Laboratory (EPhysLab), CIM-UVIGO, Universidade de Vigo, Campus As Lagoas s/n, 32004 Ourense, Spain
2
Environmental and Water Engineering Group, Department of Civil Engineering, Universidade da Coruña, Elviña, 15071 A Coruña, Spain
*
Author to whom correspondence should be addressed.
Water 2020, 12(2), 413; https://doi.org/10.3390/w12020413
Received: 18 December 2019 / Revised: 30 January 2020 / Accepted: 31 January 2020 / Published: 4 February 2020
(This article belongs to the Special Issue Modelling Flow, Water Quality, and Sediment Transport Processes in Coastal, Estuarine, and Inland Waters)
Numerical models are useful tools to analyze water quality by computing the concentration of physical, chemical and biological parameters. The present work introduces a two-dimensional depth-averaged model that computes the most relevant and frequent parameters used to evaluate water quality. High performance computing (HPC) techniques based on graphic processing unit (GPU) parallelization have been applied to improve the efficiency of the package, providing speed-ups of two orders of magnitude in a standard PC. Several test cases were analyzed to show the capabilities and efficiency of the model to evaluate the environmental status of rivers and non-stratified estuaries. IberWQ will be freely available through the package Iber.
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Keywords:
computational fluid dynamics; depth-averaged modeling; water quality; environmental quality standards; high performance computing (HPC); graphic processing unit (GPU); CUDA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
García-Feal, O.; Cea, L.; González-Cao, J.; Domínguez, J.M.; Gómez-Gesteira, M. IberWQ: A GPU Accelerated Tool for 2D Water Quality Modeling in Rivers and Estuaries. Water 2020, 12, 413.
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