Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/12667
Title: A predictive model to optimize the collection of data needed to characterize fluvial sand bodies
Authors: Texas A & M University
Schmitz, Darrel W.
May, James H.
Keywords: Conceptual model
Geology
Geostatistics
Site characterization
Geophysical exploration
Geophysical surveys
Borings
Alluvium
Statistical methods
Mathematical models
Publisher: Geotechnical Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical report (U.S. Army Engineer Waterways Experiment Station) ; GL-94-10.
Description: Technical Report
Abstract: A model was developed which uses geologically based calculations to delineate a sand body, deposited by a meandering stream, into and through a site with fewer boring locations than required by typical grid drilling. This is accomplished by establishing the environment of deposition from stratigraphic information and by assuming the sand body width is the same as the meander belt width. The meander belt width was calculated from sand thickness, once the sand body is encountered. Spacing for additional boring locations is determined from the sand body width and the probability of additional boring(s) intersecting the sand body. Once a sufficient number of borings are available, such as from site boundaries, the sand thickness is estimated for the site by the statistical method of kriging. Kriging gives the errors for the estimates. These errors are used in combination with the spacing determined from the probability of other boring(s) intersecting the sand body to select a new boring location. The additional boring location(s) are selected in areas with the most error at the determined spacing. Note: This file is very large. Allow your browser several minutes to download the file.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/12667
Appears in Collections:Technical Report

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