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International Journal of Fluid Mechanics Research

Publicado 6 números por año

ISSN Imprimir: 2152-5102

ISSN En Línea: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

Qualitative Study to Assess the Effect of a Subsurface Barrier on Contaminant Transport in Groundwater: Computation of Moments

Volumen 34, Edición 3, 2007, pp. 210-223
DOI: 10.1615/InterJFluidMechRes.v34.i3.20
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SINOPSIS

This paper describes a numerical solution of solute transport in a hypothetical, homogeneous, isotropic aquifer under constant seepage velocity where the contaminant source is located at the bottom left-hand model boundary with finite length. On applying the alternate direction implicit method, the governing unsteady advective-dispersive equation is solved to obtain the time evolution of the contaminant plume for two scenarios: with the absence of a subsurface barrier and with the presence of a subsurface barrier at dimensionless distance X = 1.0 or 2.6. Model simulations are carried out for up to 16 years to assess the long-term effect, wherein we employ the method of moments to study important statistical parameters such as central moment, coefficients of skewness, and kurtosis. We approximate the mean concentration distribution by applying Edgeworth's asymptotic series for non-Gaussian curves involving Hermite polynomials. The forward displacement of centroid with time, and deviations of the mean concentration distribution from Gaussianity have been examined in both scenarios.

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