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Determining the Hydraulic Conductivity Spatial Structure at the Twin Lake Site by Grain‐Size Distribution
Author(s) -
Indelman Peter,
Moltyaner Greg,
Dagan Gedeon
Publication year - 1999
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/j.1745-6584.1999.tb00977.x
Subject(s) - hydraulic conductivity , sieve analysis , soil science , spatial distribution , grain size , sieve (category theory) , spatial variability , geology , particle size distribution , sampling (signal processing) , aquifer , geostatistics , hydrology (agriculture) , groundwater , geotechnical engineering , statistics , mathematics , geomorphology , soil water , particle size , remote sensing , paleontology , filter (signal processing) , combinatorics , computer science , computer vision
Concentrations of a radiotracer were measured continuously in observation wells in a Held test conducted in the sandy aquifer at the Chalk River site. These measurements were used recently (Dagan et al. 1997) to assess the values of the parameters characterizing the spatial distribution of logconductivity (mean, variance, and horizontal and vertical integral scales). Soil samples were taken independently from a few wells and the grain‐size distributions were determined by sieve analysis. The aim of the present study is to infer the aforementioned parameters’values of logconductivity with the aid of grain‐size distributions. A Carman‐Kozeny‐type formula was used to derive the sample hydraulic conductivity and a geostatistical analysis to infer the parameters characterizing the logconductivity spatial distribution. The agreement for the results based on the two methods was quite satisfactory in view of the various approximations adopted by the two methodologies.