04-08-2013, 07:24 PM
Review of Geostatistics in Geohydrology. I: Basic Concepts
Author: ASCE Task Committee on Geostatistical Techniques in Geohydrology of the Ground Water Hydrology Committee of the ASCE Hydraulics Division | Size: 1.5 MB | Format: PDF | Quality: Unspecified | Publisher: J. Hydraul. Eng(ASCE) | Year: 2007 | pages: 612–632 | ISBN: --
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Geostatistics offers a variety of tools that can be used in ground‐water estimation problems, including interpolation, integration, and differentiation. This paper introduces the basic concepts of geostatistics and its proposed linear and nonlinear estimation (kriging) techniques. These techniques view a regionalized variable as one of many possible outcomes of a random function. The spatial variability of the natural phenomenon is characterized by covariance or semivariogram functions, which are the central elements in the estimation techniques, known as simple kriging, ordinary kriging, universal kriging, log‐kriging, disjunctive kriging, and indicator kriging. The paper also discusses techniques that have been developed to infer the statistical structure of the variables of interest.
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***************************************Review of Geostatistics in Geohydrology. II: Applications
Author: The ASCE Task Committee on Geostatistical Techniques in Geohydrology of the Ground Water Hydrology Committee of the ASCE Hydraulics Division | Size: 1.8 MB | Format: PDF | Quality: Unspecified | Publisher: Journal of Hydraulic Engineering(ASCE) | Year: 2007 | pages: 633–658 | ISBN: --
Geostatistical techniques are useful tools for analyzing the inherent uncertainties of ground‐water systems. These procedures have been applied to a variety of estimation problems in geohydrology. This paper reviews these applications in five major categories, including: (1) Mapping of ground‐water variables, incorporation of relevant information, and space‐time mapping; (2) conditional and unconditional simulations of geohydrological fields; (3) cointerpolation of groundwater variables using the flow equations, and numerical and analytical approaches to estimate cross and direct covariances of these variables based on ground‐water‐flow equations; (4) global and local sampling designs; and (5) geostatistical ground‐water‐management studies. The paper also includes a comprehensive list of geostatistical and related publications in geohydrology.
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