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Horizontal spatial correlation of hydraulic and reactive transport parameters as related to hierarchical sedimentary architecture at the Borden research site

  • Wright State University

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Highly resolved data from the Borden research site provide a unique opportunity to study the horizontal spatial bivariate correlation of hydraulic and reactive attributes affecting subsurface transport. The data also allow quantitatively relating this correlation to the hierarchical sedimentary architecture of the aquifer. The data include collocated samples of log permeability, Y, the log of the perchloroethene sorption distribution coefficient, Ξ, and lithologic unit type. The horizontal Y and Ξ autosemivariograms and the Ξ-Y cross-semivariogram have the same underlying correlation structure (shape and range in the rise to a sill). The common structure is not due to Ξ-Y point correlation or in-unit spatial correlation. The common structure is defined by how the proportion of lag transitions crossing different unit types (i.e., the cross-transition probability structure) increases with increasing lag distance. The common underlying cross-transition structure contains two substructures with different correlation ranges corresponding to two scales of unit types within the sedimentary architecture. For each substructure, a large standard deviation in the length of units relative to the mean length gives rise to an exponential-like shape and the proportions and mean length of units define the ranges. The horizontal Ξ-Y spatial cross correlation is primarily defined by the larger-scale substructure and the differences in mean Ξ and Y between larger-scale unit types.

Original languageEnglish
Pages (from-to)1901-1913
Number of pages13
JournalWater Resources Research
Volume49
Issue number4
DOIs
StatePublished - Apr 2013

Keywords

  • Borden research site
  • heterogeneity
  • permeability
  • reactive transport
  • sedimentary architecture
  • spatial cross correlation

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