Estimation of hydrogeological parameters and their spatial correlation structures using geophysical methods

Susan Hubbard, Yoram Rubin, Ernie Majer

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Characterization of the near-surface requires information about hydraulic parameters. Conventional sampling or borehole techniques used for characterization are costly and invasive, and limit collection of measurements at a density needed for detailed site investigation. The purpose of this paper is to explore the use geophysical data for estimation of hydrogeological parameters and their spatial correlation structure. The first Two methodologies presented focus on producing high resolution estimates of hydrological properties using densely sampled geophysical data and limited borehole data. Although we find that high resolution geophysical data are useful for obtaining these estimates, in practice they often sample only a portion of the aquifer under investigation. Stochastic simulation techniques are commonly used to generate hydrogeological values for the rest of the study volume; these techniques require as input information about the parameter's spatial covariance structure. The third and last section focuses on using high resolution tomographic data together with limited borehole data to infer the log-permeability spatial correlation structure.

Original languageEnglish
Pages (from-to)503-512
Number of pages10
JournalIAHS-AISH Publication
Volume250
StatePublished - 1998
Externally publishedYes

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