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 inJournal of hydrodynamics. Series B Vol. 29; no. 6; pp. 1081 - 1084
Main Author 王宇飞;槐文信;杨中华;季斌
Format Journal Article
LanguageEnglish
Published Singapore Elsevier Ltd 01.12.2017
Springer Singapore
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
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ISSN1001-6058
1878-0342
DOI10.1016/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.
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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CitedBy_id crossref_primary_10_1007_s11356_019_06422_1
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crossref_primary_10_1016_j_ecoleng_2018_03_004
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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
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10.1016/S1001-6058(15)60483-8
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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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Issue 6
Keywords Early stage
longitudinal dispersion
scalar transport
random walk particle method
Language English
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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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Snippet 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...
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...
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...
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...
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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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