Diagnostic model of dispersion in porous media

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A dispersion model has been presented which directly uses measured head data at an array of monitoring wells. The model divides the measured data into coherent and noncoherent components. The noncoherent components are formulated into a sub-grid dispersion coefficient, while the coherent components are used to estimate the seepage velocity. The model has been verified in a case where an analytic solution is available. The model has been validated by simulating the instantaneous release of a tracer at a site where 13 years of synoptic daily head measurements are available at several monitoring wells. The growth of the longitudinal dispersivity of the tracer with length scale compares favorably with field measurements. The results show that for large length scales the model may be considered nonempirical since the dispersion eventually becomes insensitive to the local dispersivity.

Original languageEnglish
Pages (from-to)210-227
Number of pages18
JournalJournal of Hydraulic Engineering
Volume115
Issue number2
StatePublished - Feb 1 1989

Fingerprint

Porous materials
porous medium
dispersivity
tracer
well
Monitoring
Seepage
monitoring
seepage

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Water Science and Technology

Cite this

Diagnostic model of dispersion in porous media. / Chin, David A.

In: Journal of Hydraulic Engineering, Vol. 115, No. 2, 01.02.1989, p. 210-227.

Research output: Contribution to journalArticle

@article{c2e8106c7df8443b911bf7dff9e09f6c,
title = "Diagnostic model of dispersion in porous media",
abstract = "A dispersion model has been presented which directly uses measured head data at an array of monitoring wells. The model divides the measured data into coherent and noncoherent components. The noncoherent components are formulated into a sub-grid dispersion coefficient, while the coherent components are used to estimate the seepage velocity. The model has been verified in a case where an analytic solution is available. The model has been validated by simulating the instantaneous release of a tracer at a site where 13 years of synoptic daily head measurements are available at several monitoring wells. The growth of the longitudinal dispersivity of the tracer with length scale compares favorably with field measurements. The results show that for large length scales the model may be considered nonempirical since the dispersion eventually becomes insensitive to the local dispersivity.",
author = "Chin, {David A.}",
year = "1989",
month = "2",
day = "1",
language = "English",
volume = "115",
pages = "210--227",
journal = "Journal of Hydraulic Engineering",
issn = "0733-9429",
publisher = "American Society of Civil Engineers (ASCE)",
number = "2",

}

TY - JOUR

T1 - Diagnostic model of dispersion in porous media

AU - Chin, David A.

PY - 1989/2/1

Y1 - 1989/2/1

N2 - A dispersion model has been presented which directly uses measured head data at an array of monitoring wells. The model divides the measured data into coherent and noncoherent components. The noncoherent components are formulated into a sub-grid dispersion coefficient, while the coherent components are used to estimate the seepage velocity. The model has been verified in a case where an analytic solution is available. The model has been validated by simulating the instantaneous release of a tracer at a site where 13 years of synoptic daily head measurements are available at several monitoring wells. The growth of the longitudinal dispersivity of the tracer with length scale compares favorably with field measurements. The results show that for large length scales the model may be considered nonempirical since the dispersion eventually becomes insensitive to the local dispersivity.

AB - A dispersion model has been presented which directly uses measured head data at an array of monitoring wells. The model divides the measured data into coherent and noncoherent components. The noncoherent components are formulated into a sub-grid dispersion coefficient, while the coherent components are used to estimate the seepage velocity. The model has been verified in a case where an analytic solution is available. The model has been validated by simulating the instantaneous release of a tracer at a site where 13 years of synoptic daily head measurements are available at several monitoring wells. The growth of the longitudinal dispersivity of the tracer with length scale compares favorably with field measurements. The results show that for large length scales the model may be considered nonempirical since the dispersion eventually becomes insensitive to the local dispersivity.

UR - http://www.scopus.com/inward/record.url?scp=0024606553&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024606553&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0024606553

VL - 115

SP - 210

EP - 227

JO - Journal of Hydraulic Engineering

JF - Journal of Hydraulic Engineering

SN - 0733-9429

IS - 2

ER -