Flexible scaling model for use in random field simulation of hydraulic conductivity
By Scott L. Painter. 2001
49 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/8309eb77fd0e675e38ed0fb2519c7edeabc37196
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Mark M. Meerschaert
- Hans-Peter Scheffler
- David A. Benson
- Boris Baeumer
- Silong Lu
- Fred J. Molz III
- Hui-Hai Liu
- Charles Tadjeran
In Environmental Engineering
- Mark M. Meerschaert
- Hans-Peter Scheffler
- Boris Baeumer
- David A. Benson
- Silong Lu
- Fred J. Molz III
- Charles Tadjeran
- Hui-Hai Liu
Citations in the corpus
- An efficient, three-dimensional, anisotropic, fractional Brownian motion and truncated fractional Levy motion simulation algorithm based on successive random additions (2003, methodology): “Previous research has shown that spatial variations of K or lnðKÞ often display scaling that has been modeled using the properties of fractals (Molz and Boman, 1993; Painter and Paterson, 1994; Painter, 1996a, 2001; Molz et al., 1997).”
- Fractional Laplace model for hydraulic conductivity (2004, background): “This led to the proposal of stochastic models that can be varied between Gaussian and Lévy behavior [Painter, 2001].”
- Aquifer operator scaling and the effect on solute mixing and dispersion (2006, methodology): “A number of techniques are widely used to generate scalar random field replicas of aquifers for use in the Monte Carlo studies [Tompson et al., 1989; Deutsch and Journel, 1992; Dietrich and Newsam, 1993; Robin et al., 1993; Carle and Fogg, 1997; Bruining et al., 1997; Hassan et al., 1997; Ruan and M”