Analytical solutions of the \(^{222}\)Rn radon diffusion-advection equation through soil using Atangana–Baleanu time fractional derivative

IF 1.6 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
A. A. Atangana Likéné, J. E. Ndjana Nkoulou II, M. Oumar Bobbo,  Saidou
{"title":"Analytical solutions of the \\(^{222}\\)Rn radon diffusion-advection equation through soil using Atangana–Baleanu time fractional derivative","authors":"A. A. Atangana Likéné,&nbsp;J. E. Ndjana Nkoulou II,&nbsp;M. Oumar Bobbo,&nbsp; Saidou","doi":"10.1007/s12648-024-03445-4","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we propose a mathematical model based on the fractality of time to describe and predict the radon diffusion-advection process through soil. For a given decay constant, <span>\\(\\lambda _{R_n}\\)</span>, and a uniform diffusion coefficient, <span>\\(D_0\\)</span>, and assuming that radon flow occurs in only one direction, the process is modeled by the one-dimensional diffusion-advection equation. This equation is generalized to the fractional order <span>\\(\\alpha \\)</span>, based on the newly proposed Atangana-Baleanu derivative in the Caputo sense. Analytical solutions are obtained using Laplace and sine-Fourier transforms, and the key points for choosing the Atangana-Baleanu fractional derivative are highlighted. The role of the fractional order parameter is significant in this research. It is observed that, at a given time <i>t</i>, each radon concentration profile increases with soil depth, regardless of the value of <span>\\(\\alpha \\)</span>. However, the radon concentration profile reaches higher values as the fractional order parameter increases. A memory effect is observed in the system each time the value of <span>\\(\\alpha \\)</span> is changed, providing evidence of the fractal nature of the process. The obtained pattern reveals concentration levels that are not accessible in classical studies. This work goes beyond previous studies in the literature by showing that the investigated fractality of time captures the memory effects inherent in the radon diffusion process.</p></div>","PeriodicalId":584,"journal":{"name":"Indian Journal of Physics","volume":"99 6","pages":"2165 - 2172"},"PeriodicalIF":1.6000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Physics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s12648-024-03445-4","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose a mathematical model based on the fractality of time to describe and predict the radon diffusion-advection process through soil. For a given decay constant, \(\lambda _{R_n}\), and a uniform diffusion coefficient, \(D_0\), and assuming that radon flow occurs in only one direction, the process is modeled by the one-dimensional diffusion-advection equation. This equation is generalized to the fractional order \(\alpha \), based on the newly proposed Atangana-Baleanu derivative in the Caputo sense. Analytical solutions are obtained using Laplace and sine-Fourier transforms, and the key points for choosing the Atangana-Baleanu fractional derivative are highlighted. The role of the fractional order parameter is significant in this research. It is observed that, at a given time t, each radon concentration profile increases with soil depth, regardless of the value of \(\alpha \). However, the radon concentration profile reaches higher values as the fractional order parameter increases. A memory effect is observed in the system each time the value of \(\alpha \) is changed, providing evidence of the fractal nature of the process. The obtained pattern reveals concentration levels that are not accessible in classical studies. This work goes beyond previous studies in the literature by showing that the investigated fractality of time captures the memory effects inherent in the radon diffusion process.

利用Atangana-Baleanu时间分数阶导数解析解\(^{222}\)氡在土壤中的扩散-平流方程
本文提出了一种基于时间分形的数学模型来描述和预测氡在土壤中的扩散-平流过程。对于给定的衰变常数\(\lambda _{R_n}\)和均匀扩散系数\(D_0\),并假设氡只在一个方向上流动,该过程由一维扩散-平流方程模拟。基于新提出的Caputo意义上的Atangana-Baleanu导数,将该方程推广到分数阶\(\alpha \)。利用拉普拉斯变换和正弦傅里叶变换得到了解析解,并强调了选择Atangana-Baleanu分数阶导数的要点。分数阶参数在本研究中起着重要的作用。可以观察到,在给定时间t,每个氡浓度剖面随土壤深度而增加,与\(\alpha \)的值无关。然而,随着分数阶参数的增加,氡浓度曲线达到更高的值。每次改变\(\alpha \)的值时,在系统中观察到记忆效应,为该过程的分形性质提供了证据。获得的模式揭示了在经典研究中无法获得的浓度水平。这项工作超越了以前的文献研究,表明所调查的时间分形捕获了氡扩散过程中固有的记忆效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Indian Journal of Physics
Indian Journal of Physics 物理-物理:综合
CiteScore
3.40
自引率
10.00%
发文量
275
审稿时长
3-8 weeks
期刊介绍: Indian Journal of Physics is a monthly research journal in English published by the Indian Association for the Cultivation of Sciences in collaboration with the Indian Physical Society. The journal publishes refereed papers covering current research in Physics in the following category: Astrophysics, Atmospheric and Space physics; Atomic & Molecular Physics; Biophysics; Condensed Matter & Materials Physics; General & Interdisciplinary Physics; Nonlinear dynamics & Complex Systems; Nuclear Physics; Optics and Spectroscopy; Particle Physics; Plasma Physics; Relativity & Cosmology; Statistical Physics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信