Solute transport along a single channel with radial diffusion in the porous rock matrix: A simple analytical solution and the implementation of time domain random walk algorithm

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL
Shuo Meng , Xinyuan Mo , Longcheng Liu
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引用次数: 0

Abstract

Numerous field observations show that the channels in one fracture are narrow and the solute penetration depth might be larger than the width. For this case, the diffusion from a channel into the matrix is more realistic to be modeled as radial diffusion than one-dimensional. In present work, the single channel model with radial diffusion is revisited and a simple and robust analytical solution is developed. This solution takes a convolution form of two functions, in which different transport mechanisms are accounted for. The statistical interpretations of the two functions and the analytical solution aid to develop a simple Time Domain Random Walk (TDRW) algorithm and an extension is made to improve its accuracy, efficiency and applicability. To demonstrate the accuracy and efficacy of the extended algorithm, three groups of simulations are performed and it is found that the results of all approaches are identical. The TDRW algorithm, having the same performance as that of inverse Laplace transform solution, is superior to Gaussian quadrature method in computational time. However, due to Monte Carlo nature of the algorithm, the computational burden of TDRW algorithm is dependent on the number of particles applied, which also influences the calculation accuracy. Therefore, a trade-off between computational burden and calculation accuracy should always be made, once the TDRW algorithm is used.

多孔岩石基质中具有径向扩散作用的溶质沿单一通道传输:简单解析解与时域随机行走算法的实现
大量实地观测表明,一条裂缝中的通道很窄,溶质渗透深度可能大于宽度。在这种情况下,将从通道向基质的扩散模拟为径向扩散比一维扩散更符合实际情况。在本研究中,我们重新审视了具有径向扩散的单通道模型,并开发了一种简单而稳健的解析解。该解决方案采用两个函数的卷积形式,其中考虑了不同的传输机制。这两个函数的统计解释和分析解法有助于开发一种简单的时域随机漫步(TDRW)算法,并对该算法进行了扩展,以提高其准确性、效率和适用性。为了证明扩展算法的准确性和有效性,我们进行了三组模拟,发现所有方法的结果都是相同的。TDRW 算法与反拉普拉斯变换解法性能相同,在计算时间上优于高斯正交法。然而,由于该算法的蒙特卡罗性质,TDRW 算法的计算负担取决于应用的粒子数,这也影响了计算精度。因此,一旦使用 TDRW 算法,就必须在计算负担和计算精度之间做出权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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