Iterative cokriging-like technique for ground-water flow modeling

Tian-Chyi J Yeh, Allan L. Gutjahr, Minghui Jin

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

Classical cokriging technique which uses both the head and transmissivity measurements to estimate transmissivity and/or hydraulic distributions relies on a linear predictor approach and uses covariance and cross covariance functions derived from first-order approximation. Consequently, it often results in head and transmissivity fields that can produce unacceptable velocity distributions. In this paper, an iterative method which combines classical cokriging and a numerical flow model to obtain optimum estimates of transmissivity and head distributions and to alleviate the limitations of classical cokriging is developed. Through several examples, it is demonstrated that this method is superior to the classical cokriging method in terms of producing mass conservative velocity fields. In addition, results indicate that hydraulic head measurement can improve prediction of groundwater flow directions and paths in aquifers significantly.

Original languageEnglish (US)
Pages (from-to)33-41
Number of pages9
JournalGround Water
Volume33
Issue number1
StatePublished - Jan 1995

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Groundwater flow
flow modeling
transmissivity
groundwater flow
Hydraulics
Iterative methods
Velocity distribution
Aquifers
hydraulic head
aquifer
hydraulics
prediction
distribution
method

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Water Science and Technology

Cite this

Iterative cokriging-like technique for ground-water flow modeling. / Yeh, Tian-Chyi J; Gutjahr, Allan L.; Jin, Minghui.

In: Ground Water, Vol. 33, No. 1, 01.1995, p. 33-41.

Research output: Contribution to journalArticle

Yeh, T-CJ, Gutjahr, AL & Jin, M 1995, 'Iterative cokriging-like technique for ground-water flow modeling', Ground Water, vol. 33, no. 1, pp. 33-41.
Yeh, Tian-Chyi J ; Gutjahr, Allan L. ; Jin, Minghui. / Iterative cokriging-like technique for ground-water flow modeling. In: Ground Water. 1995 ; Vol. 33, No. 1. pp. 33-41.
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