Putra, SS, Corzo Perez, GA, van der Pijl, S et al. (3 more authors) (2014) Measuring domain decomposition effect in estuary model parallelization using high performance computer. In: 2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE). 2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE), 07-08 Oct 2014, Yogyakarta, Indonesia. IEEE , pp. 102-107. ISBN 978-1-4799-5303-5
Abstract
The physical process modeling of an estuary is a complex mechanism that comes along with the existence of uncertainty. In contrast, due to significant variability of flows in space and time, an extensive modeling effort must be accommodated with the application of parallelization technology. Therefore, the implication of estuary model parallelization to the model result uncertainty must be examined. In this research, a three dimensional (3D) hydrodynamic model of Columbia Estuary, located in Oregon, United States, was configured in cloud computing environment. The case study was simulated using DFlow Flexible Mesh software from Deltares. The model behaviors were evaluated in terms of water level, velocity, and salinity with the reverence of field observation data. The estuary model was calibrated in respect to physical parameters before parallelization process. Through calibration procedure, it was revealed that the model were sensitive to bed roughness, eddy viscosity coefficient, and eddy diffusivity coefficient. It can be concluded that the model parallelization technique had induced minor uncertainty contribution to the specific estuary model results. The pattern of uncertainties are varies within the range of parallel processes scenarios, as a result of automatic domain decomposition practice that produces additional diffusivity term to model. Meanwhile, there is an optimum parallel process scenario with minimum computational time. Some bargaining alternatives between model uncertainty and computational time are presented for the application of estuary parallel modeling.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | uncertainty; estuary; calibration; decomposition; parallelization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Jan 2022 15:47 |
Last Modified: | 10 Jan 2022 15:47 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/iciteed.2014.7007908 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182210 |