MODPATH-RW: A Random Walk Particle Tracking Code for Solute Transport in Heterogeneous Aquifers

IF 2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Groundwater Pub Date : 2024-01-27 DOI:10.1111/gwat.13390
Rodrigo Pérez-Illanes, Daniel Fernàndez-Garcia
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Abstract

Random walk particle tracking (RWPT) is a discrete particle method that offers several advantages for simulating solute transport in heterogeneous geological systems. The formulation is a discrete solution to the advection-dispersion equation, yielding results that are not influenced by grid-related numerical dispersion. Numerical dispersion impacts the magnitude of concentrations and gradients obtained from classical grid-based solvers in advection-dominated problems with relatively large grid Péclet numbers. Accurate predictions of concentrations are crucial for reactive transport studies, and RWPT has been recognized for its potential benefits for this kind of application. This highlights the need for a solute transport program based on RWPT that can be seamlessly integrated with industry-standard groundwater flow models. This article presents a solute transport code that implements the RWPT method by extension of the particle tracking model MODPATH, which provides the base infrastructure for interacting with several variants of MODFLOW groundwater flow models. The implementation is achieved by developing a method for determining the exact cell-exit position of a particle undergoing simultaneous advection and dispersion, allowing for the sequential transfer of particles between flow model cells. The program is compatible with rectangular unstructured grids and integrates a module for the smoothed reconstruction of concentrations. In addition, the program incorporates parallel processing of particles using the OpenMP library, enabling faster simulations of solute transport in heterogeneous systems. Numerical test cases involving different applications in hydrogeology benchmark the RWPT model with well-known transport codes.

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MODPATH-RW:用于异质含水层溶质迁移的随机漫步粒子跟踪代码。
随机漫步粒子追踪法(RWPT)是一种离散粒子法,在模拟异质地质系统中的溶质运移方面具有多种优势。该方法是平流-弥散方程的离散解,得出的结果不受网格相关数值弥散的影响。在网格贝克莱特数相对较大的平流主导问题中,数值色散会影响基于经典网格求解器得到的浓度和梯度的大小。准确预测浓度对于反应迁移研究至关重要,而 RWPT 在此类应用中的潜在优势已得到认可。这凸显了基于 RWPT 的溶质运移程序的必要性,该程序可与行业标准地下水流模型无缝集成。本文介绍了一种通过扩展粒子跟踪模型 MODPATH 来实现 RWPT 方法的溶质运移代码,MODPATH 模型为与多种 MODFLOW 地下水流模型交互提供了基础架构。实现该方法的途径是开发一种方法,用于确定同时进行平流和扩散的粒子的确切单元出口位置,从而实现粒子在流动模型单元之间的顺序转移。该程序与矩形非结构网格兼容,并集成了一个用于平滑重建浓度的模块。此外,该程序还使用 OpenMP 库对粒子进行并行处理,从而能够更快地模拟异质系统中的溶质传输。涉及水文地质学不同应用的数值测试案例将 RWPT 模型与著名的传输代码进行了比较。
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来源期刊
Groundwater
Groundwater 环境科学-地球科学综合
CiteScore
4.80
自引率
3.80%
发文量
0
审稿时长
12-24 weeks
期刊介绍: Ground Water is the leading international journal focused exclusively on ground water. Since 1963, Ground Water has published a dynamic mix of papers on topics related to ground water including ground water flow and well hydraulics, hydrogeochemistry and contaminant hydrogeology, application of geophysics, groundwater management and policy, and history of ground water hydrology. This is the journal you can count on to bring you the practical applications in ground water hydrology.
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