4.7 Article

Field evaluation of methods for determining hydraulic conductivity from grain size data

期刊

JOURNAL OF HYDROLOGY
卷 400, 期 1-2, 页码 58-71

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2011.01.022

关键词

Hydraulic conductivity; Sieve analysis; Grain size distribution; Direct push slug test; Sonic sampling; Bitterfeld

资金

  1. German Federal Ministry of Education and Research (Bundesministerium fur Bildung und Forschung) [Forderkennzeichen 02WT0982]

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Determination of hydraulic conductivity (K) and its variation in space is often a major objective of hydro-geological site investigations. However, measurement of K at a high spatial resolution in sedimentary aquifers is a challenge. There are a number of field methods that can be used to determine K, although they differ greatly in terms of their spatial resolution. One commonly used approach is to estimate K from grain size analyses, but the reliability of the resulting K estimates is unclear. The aims of this study are to compare frequently used formulas for the determination of K from grain size data for a broad range of sediment types and to evaluate how well these methods predict K. Sonic sampling was used to obtain minimally disturbed cores in a highly heterogeneous sedimentary aquifer and K values of grain size analyses from 108 core samples were calculated. Despite the high correlation of calculated K derived from different formulas, mean K values differed by several orders of magnitude between the formulas. For the evaluation of the reliability of the K estimates, high resolution direct push slug tests (DPSTs) were also performed in the close vicinity of the cores. A high correlation between ln(K-DPST) and ln(K-grain size) was found for most of the applied formulas. Nevertheless, sample heterogeneity, i.e. the presence of small clay layers in a generally highly permeable sample, led to K-grain size estimates that were significantly smaller than the K-DPST estimates. Based on these results, the applied formulas appear to be suitable for an initial assessment of aquifer K. However, considering the difference in calculated K mean values, results are not sufficiently reliable for the high resolution analyses of K variations needed for flow or transport modeling. (C) 2011 Elsevier B.V. All rights reserved.

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