Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales

Yang, Chen; Zhang, You Kuan; Liang, Xiuyu; Olschanowsky, Catherine; Yang, Xiaofan; Maxwell, R. M.

doi:10.1016/j.cageo.2021.104760

Cited by 16 publications

(23 citation statements)

References 39 publications

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“…See Refs. [ 47 – 49 ], PFLOTRAN, an open source, massively parallel subsurface flow and reactive transport code [ 50 – 52 ], Parflow Hydrologic model for surface and subsurface flow on HPC [ 53 – 55 ], RichardsFOAM [ 56 , 57 ], CATHY (CATchment HYdrology [ 58 ], for related examples in HPC.…”

Section: Methodsmentioning

confidence: 99%

Investigating the migration of immiscible contaminant fluid flow in homogeneous and heterogeneous aquifers with high-precision numerical simulations

Feo

Celico

2022

PLoS ONE

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Numerical modeling of the migration of three-phase immiscible fluid flow in variably saturated zones is challenging due to the different behavior of the system between unsaturated and saturated zones. This behavior results in the use of different numerical methods for the numerical simulation of the fluid flow depending on whether it is in the unsaturated or saturated zones. This paper shows that using a high-resolution shock-capturing conservative method to resolve the nonlinear governing coupled partial differential equations of a three-phase immiscible fluid flow allows the numerical simulation of the system through both zones providing a unitary vision (and resolution) of the migration of an immiscible contaminant problem within a porous medium. In particular, using different initial scenarios (including impermeable “lenses” in heterogeneous aquifers), three-dimensional numerical simulation results are presented on the temporal evolution of the contaminant migration following the saturation profiles of the three-phases fluids flow in variably saturated zones. It is considered either light nonaqueous phase liquid with a density less than the water, or dense nonaqueous phase liquid, which has densities greater than the water initially released in unsaturated dry soil. Our study shows that the fate of the migration of immiscible contaminants in variably saturated zones can be accurately described, using a unique mathematical conservative model, with different evolution depending on the value of the system’s physical parameters, including the contaminant density, and accurately tracking the evolution of the sharp (shock) contaminant front.

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Section: Methodsmentioning

confidence: 99%

Investigating the migration of immiscible contaminant fluid flow in homogeneous and heterogeneous aquifers with high-precision numerical simulations

Feo

Celico

2022

PLoS ONE

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“…EcoSLIM is a parallel, Lagrangian, particle tracking platform (Maxwell et al, 2019) that simulates advective and dispersive transport in variably saturated systems and has been extended to multi-GPU platforms (Yang et al, 2021). EcoSLIM is an https://github.com/parflow/parflow open-source platform that is actively under development and available on GitHub .…”

Section: Ecoslimmentioning

confidence: 99%

The ParFlow Sandtank: An interactive educational tool making invisible groundwater visible

Gallagher¹,

Farley²,

Chennault³

et al. 2022

Front. Water

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Physical aquifer models are a highly effective teaching tool for hydrology education, however they come with inherent limitations that include the high cost to purchase, the static configuration of the model materials, the time required to visualize hydrogeological phenomena, and the effort to reset and clean them over time. To address these and other limitations, we have developed an interactive computer simulation of a physical aquifer model called the ParFlow Sandtank. In this gamified interface, users run the simulation using a familiar web-app like interface with sliders and buttons while learning real hydrologic concepts. Our user interface allows participants to dive into the world of hydrology, understanding assumptions about model parameters such as hydraulic conductivity, making decisions about inputs to groundwater aquifer systems such as pumping rates, visualizing outputs such as stream flow, transport, and saturation, and exploring various factors that impact real environmental systems such as climate change. The ParFlow Sandtank has already been used in a variety of educational settings with more than 9,000 users per year, and we feel this emerging educational tool can be used broadly in educational environments and can be scaled-up to provide greater accessibility for students and educators. Here we present the capabilities and workflow of the ParFlow Sandtank, two use cases, and additional tools and custom templates that have been developed to support and enhance the reach of the ParFlow Sandtank.

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“…EcoSLIM is originally implemented in Fortran and further accelerated by GPUs using CUDA (Compute Unified Device Architecture) Fortran (C. Yang et al, 2021). Its original structure is briefly introduced here to understand the following implementations of multi-GPU with MPI and LB schemes.…”

Section: Ecoslim Codementioning

confidence: 99%

“…Its original structure is briefly introduced here to understand the following implementations of multi-GPU with MPI and LB schemes. For more details, please refer to our previous work (Maxwell et al, 2019;C. Yang et al, 2021).…”

Section: Ecoslim Codementioning

confidence: 99%

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Accurate load balancing accelerates Lagrangian simulation of water ages on distributed, multi-GPU platforms

Yang¹,

Maxwell²,

Valent³

2021

Preprint

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Water age is a fundamental descriptor of source, storage, and mixing of water parcels in a watershed. The Lagrangian, particle tracking, approach is a powerful tool for physically-based modeling of water age distributions, but its application has been hampered since it is computationally demanding. In this study, we present a parallel approach for particle tracking simulations. This approach uses multi-GPU with MPI parallelism based on domain decomposition. An inherent challenge of distributed parallelization of Lagrangian approaches is the disparity in computational work or load imbalance (LIB) among different processing elements (PEs). Here, load balancing (LB) schemes were proposed to dynamically balance the distribution of particles across PEs during runtime. In the followed hillslope simulations, LIB was observed in all LB-disabled runs, e.g., with a load ratio of 423.62% by using 2-GPU in LW Shrub case. LB schemes then accurately balanced the load distribution and improved the parallel scaling. Additionally, the parallel approach showed excellent overall speedup: a 60-fold improvement using 4-GPU relative to the serial run. A regional scale application further demonstrated the LB performance. The parallel time used by 8-GPU without LB was 31.33% reduced after LB was activated. When increasing 8-GPU with LB to 16-GPU with LB, it showed parallel scalability by reducing the parallel time of ˜50%. This work shows how massively parallel computing can be applied to particle tracking in water age simulations. It also demonstrates the practical importance of load balancing in this context, which enables the large-scale simulations with an increased complexity of flow paths.

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Accelerating the Lagrangian particle tracking of residence time distributions and source water mixing towards large scales

Cited by 16 publications

References 39 publications

Investigating the migration of immiscible contaminant fluid flow in homogeneous and heterogeneous aquifers with high-precision numerical simulations

Investigating the migration of immiscible contaminant fluid flow in homogeneous and heterogeneous aquifers with high-precision numerical simulations

The ParFlow Sandtank: An interactive educational tool making invisible groundwater visible

Accurate load balancing accelerates Lagrangian simulation of water ages on distributed, multi-GPU platforms

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