A new method for laboratory estimation of the transverse dispersion coefficient.
Identifieur interne : 000432 ( PubMed/Corpus ); précédent : 000431; suivant : 000433A new method for laboratory estimation of the transverse dispersion coefficient.
Auteurs : Marco Massab ; Federico Catania ; Ombretta PaladinoSource :
- Ground water [ 0017-467X ]
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Soil, Water.
- chemical , chemistry : Water.
- Algorithms, Diffusion, Kinetics, Models, Theoretical, Water Movements.
Abstract
We introduce a method for identifying the transverse dispersion coefficient in laboratory experiments based on the analytical solution of a pulse injection of a nonreactive solute in a soil column (cylindrical geometry) packed with a homogeneous porous medium. This method takes into account the effect of boundary conditions such as no flux on the column perimeter, and it does not need a priori knowledge of the longitudinal dispersion coefficient. Numerical applications of the method show that it is stable and robust and that the results are reasonably in accordance with those found using the classical maximum likelihood method.
DOI: 10.1111/j.1745-6584.2007.00301.x
PubMed: 17470123
Links to Exploration step
pubmed:17470123Le document en format XML
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<author><name sortKey="Massab, Marco" sort="Massab, Marco" uniqKey="Massab M" first="Marco" last="Massab">Marco Massab</name>
<affiliation><nlm:affiliation>DIST-Dipartimento di Informatica, Sistemistica e Telematica, University of Genoa, Via Cadorna 7, 17100 Savona, Italy. m.marco@cima.unige.it</nlm:affiliation>
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<author><name sortKey="Catania, Federico" sort="Catania, Federico" uniqKey="Catania F" first="Federico" last="Catania">Federico Catania</name>
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<author><name sortKey="Paladino, Ombretta" sort="Paladino, Ombretta" uniqKey="Paladino O" first="Ombretta" last="Paladino">Ombretta Paladino</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">A new method for laboratory estimation of the transverse dispersion coefficient.</title>
<author><name sortKey="Massab, Marco" sort="Massab, Marco" uniqKey="Massab M" first="Marco" last="Massab">Marco Massab</name>
<affiliation><nlm:affiliation>DIST-Dipartimento di Informatica, Sistemistica e Telematica, University of Genoa, Via Cadorna 7, 17100 Savona, Italy. m.marco@cima.unige.it</nlm:affiliation>
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<term>Diffusion</term>
<term>Kinetics</term>
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<term>Soil (analysis)</term>
<term>Water (analysis)</term>
<term>Water (chemistry)</term>
<term>Water Movements</term>
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<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Soil</term>
<term>Water</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Water</term>
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<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Diffusion</term>
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<front><div type="abstract" xml:lang="en">We introduce a method for identifying the transverse dispersion coefficient in laboratory experiments based on the analytical solution of a pulse injection of a nonreactive solute in a soil column (cylindrical geometry) packed with a homogeneous porous medium. This method takes into account the effect of boundary conditions such as no flux on the column perimeter, and it does not need a priori knowledge of the longitudinal dispersion coefficient. Numerical applications of the method show that it is stable and robust and that the results are reasonably in accordance with those found using the classical maximum likelihood method.</div>
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<Title>Ground water</Title>
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<ArticleTitle>A new method for laboratory estimation of the transverse dispersion coefficient.</ArticleTitle>
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<Abstract><AbstractText>We introduce a method for identifying the transverse dispersion coefficient in laboratory experiments based on the analytical solution of a pulse injection of a nonreactive solute in a soil column (cylindrical geometry) packed with a homogeneous porous medium. This method takes into account the effect of boundary conditions such as no flux on the column perimeter, and it does not need a priori knowledge of the longitudinal dispersion coefficient. Numerical applications of the method show that it is stable and robust and that the results are reasonably in accordance with those found using the classical maximum likelihood method.</AbstractText>
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<CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Ground Water. 2012 Mar-Apr;50(2):177-8; discussion 178-9</RefSource>
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<CommentsCorrections RefType="CommentIn"><RefSource>Ground Water. 2010 Jan-Feb;48(1):16-7; discussion 17-8</RefSource>
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