Two timescales for longitudinal dispersion in a laminar open-channel flow
At small dimensionless timescales T(= tD/H^2), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuni...
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Published in | Journal of hydrodynamics. Series B Vol. 29; no. 6; pp. 1081 - 1084 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Singapore
Elsevier Ltd
01.12.2017
Springer Singapore State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China |
Subjects | |
Online Access | Get full text |
ISSN | 1001-6058 1878-0342 |
DOI | 10.1016/S1001-6058(16)60821-1 |
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Abstract | At small dimensionless timescales T(= tD/H^2), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuniform. However, previous studies found different dimensionless timescales in the early stage, which is not verified experimentally due to the demanding experimental requirements. In this letter, a stochastic method is employed to simulate the early stage of the longitudinal transport when the Peclet number is large. It is shown that the timescale for the transverse distribution to approach uniformity is T= 0.5, which is also the timescale for the dimensionless temporal longitudinal dispersion coefficient to reach its asymptotic value, the timescale for the longitudinal distribution to approach a Gaussian distribution is T= 1.0, which is also the timescale for the dimensionless history mean longitudinal dispersion coefficient to reach its asymptotic value. |
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AbstractList | At small dimensionless timescales T(= tD/H2), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuniform. However, previous studies found different dimensionless timescales in the early stage, which is not verified experimentally due to the demanding experimental requirements. In this letter, a stochastic method is employed to simulate the early stage of the longitudinal transport when the Peclet number is large. It is shown that the timescale for the transverse distribution to approach uniformity is T = 0.5, which is also the timescale for the dimensionless temporal longitudinal dispersion coefficient to reach its asymptotic value, the timescale for the longitudinal distribution to approach a Gaussian distribution is T = 1.0, which is also the timescale for the dimensionless history mean longitudinal dispersion coefficient to reach its asymptotic value. At small dimensionless timescales T (= tD/H 2 ), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuniform. However, previous studies found different dimensionless timescales in the early stage, which is not verified experimentally due to the demanding experimental requirements. In this letter, a stochastic method is employed to simulate the early stage of the longitudinal transport when the Peclet number is large. It is shown that the timescale for the transverse distribution to approach uniformity is T = 0.5, which is also the timescale for the dimensionless temporal longitudinal dispersion coefficient to reach its asymptotic value, the timescale for the longitudinal distribution to approach a Gaussian distribution is T = 1.0, which is also the timescale for the dimensionless history mean longitudinal dispersion coefficient to reach its asymptotic value. At small dimensionless timescales T(= tD/H^2), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuniform. However, previous studies found different dimensionless timescales in the early stage, which is not verified experimentally due to the demanding experimental requirements. In this letter, a stochastic method is employed to simulate the early stage of the longitudinal transport when the Peclet number is large. It is shown that the timescale for the transverse distribution to approach uniformity is T= 0.5, which is also the timescale for the dimensionless temporal longitudinal dispersion coefficient to reach its asymptotic value, the timescale for the longitudinal distribution to approach a Gaussian distribution is T= 1.0, which is also the timescale for the dimensionless history mean longitudinal dispersion coefficient to reach its asymptotic value. |
Author | Huai, Wen-xin Ji, Bin Yang, Zhong-hua Wang, Yu-fei |
AuthorAffiliation | State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan430072, China |
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Cites_doi | 10.1098/rspa.1962.0182 10.1016/j.jhydrol.2016.11.058 10.1098/rspa.1970.0083 10.1098/rspa.1971.0057 10.1016/S1001-6058(14)60039-1 10.1061/(ASCE)HY.1943-7900.0001196 10.1017/S0022112082002791 10.1017/S0022112076002279 10.1016/S1001-6058(15)60483-8 10.1017/jfm.2013.648 10.1002/aic.690110620 10.1016/j.jhydrol.2014.09.044 10.1061/(ASCE)HY.1943-7900.0001276 10.1017/S0022112087000363 10.1016/j.advwatres.2016.08.009 |
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Notes | 31-1563/T At small dimensionless timescales T(= tD/H^2), where t is the time, H is the depth of the channel and D is the molecular diffusion coefficient, the mean transverse concentration along the longitudinal direction is not in a Gaussian distribution and the transverse concentration distribution is nonuniform. However, previous studies found different dimensionless timescales in the early stage, which is not verified experimentally due to the demanding experimental requirements. In this letter, a stochastic method is employed to simulate the early stage of the longitudinal transport when the Peclet number is large. It is shown that the timescale for the transverse distribution to approach uniformity is T= 0.5, which is also the timescale for the dimensionless temporal longitudinal dispersion coefficient to reach its asymptotic value, the timescale for the longitudinal distribution to approach a Gaussian distribution is T= 1.0, which is also the timescale for the dimensionless history mean longitudinal dispersion coefficient to reach its asymptotic value. Early stage, longitudinal dispersion, random walk particle method, scalar transport |
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References | Gray, Cen, Shah (bib14) 2016; 97 Gill, Sankarasubramanian (bib8) 1970; 316 Noori, Ghiasi, Sheikhian (bib2) 2017; 143 Wu, Chen (bib5) 2014; 740 Wang, Huai (bib13) 2016; 142 Wu, Chen (bib15) 2014; 519 Chatwin (bib3) 1976; 77 Gill, Sankarasubramanian (bib9) 1971; 322 Wang, Huai, Wang (bib12) 2017; 544 Bailey, Gogarty (bib4) 1962; 269 Li, Xue, Huai (bib11) 2015; 27 Smith (bib10) 1987; 175 Chatwin, Sullivan (bib1) 1982; 120 Liang, Wu (bib6) 2014; 26 Ananthakrishnan, Gill, Barduhn (bib7) 1965; 11 Ananthakrishnan, Gill, Barduhn (CR7) 1965; 11 Wu, Chen (CR5) 2014; 740 Wang, Huai, Wang (CR12) 2017; 544 Gill, Sankarasubramanian (CR9) 1971; 322 Noori, Ghiasi, Sheikhian (CR2) 2017; 143 Wu (CR15) 2014; 519 Wang, Huai (CR13) 2016; 142 Chatwin, Sullivan (CR1) 1982; 120 Bailey, Gogarty (CR4) 1962; 269 Li, Xue, Huai (CR11) 2015; 27 Smith (CR10) 1987; 175 Gray, Cen, Shah (CR14) 2016; 97 Gill, Sankarasubramanian (CR8) 1970; 316 Liang, Wu (CR6) 2014; 26 Chatwin (CR3) 1976; 77 H R Bailey (29061081_CR4) 1962; 269 R Noori (29061081_CR2) 2017; 143 Z Wu (29061081_CR15) 2014; 519 W N Gill (29061081_CR8) 1970; 316 W N Gill (29061081_CR9) 1971; 322 Y Wang (29061081_CR13) 2016; 142 D Liang (29061081_CR6) 2014; 26 Z Wu (29061081_CR5) 2014; 740 R Smith (29061081_CR10) 1987; 175 F Gray (29061081_CR14) 2016; 97 P C Chatwin (29061081_CR3) 1976; 77 Y F Wang (29061081_CR12) 2017; 544 C G Li (29061081_CR11) 2015; 27 V Ananthakrishnan (29061081_CR7) 1965; 11 P C Chatwin (29061081_CR1) 1982; 120 |
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SubjectTerms | Early stage Engineering Engineering Fluid Dynamics Hydrology/Water Resources Letter longitudinal dispersion Numerical and Computational Physics random walk particle method scalar transport Simulation 分散系数;隧道;Gaussian;流动;平均数;试验性;尺寸;分发 |
Title | Two timescales for longitudinal dispersion in a laminar open-channel flow |
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