When good statistical models of aquifer heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in connected and multivariate Gaussian hydraulic conductivity fields

By B. Zinn, C. Harvey. 2003

418 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/406dd67913a6dace29cf2af1e66b1eb676dfa20e

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Citations in the corpus

Connectivity metrics for subsurface flow and transport (2013, methodology): “the effective conductivity, Kg is the geometric mean of the local conductivity values, Ka t mass of tracer recovered at the outlet (modified from Zinn and Harvey [92]).”
Inverse methods in hydrogeology: Evolution and recent trends (2014, background): “The713 other rarely applied constraint is connectivity, which is found to play a critical role in transport modeling.714 In a synthetic example, Zinn and Harvey (2003) demonstrated how the same conductivity values when715 rearranged in space to induce different connectivity patterns have very…”
Assessment of the predictive capabilities of stochastic theories in a three‐dimensional laboratory test aquifer: Effective hydraulic conductivity and temporal moments of breakthrough curves (2005, background): “: LAB ASSESSMENT STOCHASTIC THEORIES W04002 flow [e.g., Gómez-Hernández and Wen, 1998; Zinn and Harvey, 2003].”
Particle‐based transport model with Markovian velocity processes for tracer dispersion in highly heterogeneous porous media (2010, methodology): “In Appendix E, the outlined MVP‐based methodology is employed to model dispersion in ‘connected’ conductivity fields (as described by Zinn and Harvey [2003]) with sY 2 = 2.”
The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, methodology): “Therefore, any statistical inference based only on the analysis of point data (even if it uses complex statistics) will be blind to that characteristic of the underlying field [Sánchez‐Vila et al., 1996; Zinn and Harvey, 2003].”
Blocking Moving Window algorithm: Conditioning multiple‐point simulations to hydrogeological data (2010, background): “Therefore, they fail to reproduce connectivity features of aquifer properties because the spatial continuity of their extreme values is minimum [Journel and Deutsch, 1993; Zinn and Harvey, 2003].”
Upscaling for unsaturated flow for non‐Gaussian heterogeneous porous media (2007, background): “However, even for single-phase flow or solute transport, the influence of the non-multi-Gaussian character of fields has been discussed recently [Zinn and Harvey, 2003; Western et al., 2001; Gomez-Hernandez and Wen, 1997; Knudby and Carrera, 2005].”
Homogenization of Richards equation in permeability fields with different connectivities (2005, methodology): “[63] In order to analyze the influence of connected permeability zones on the effective parameter functions, we compare three test fields generated by the method of Zinn and Harvey [2003]. Starting point is a standard autocorrelated field with a Gaussian covariance function.”
Solute transport in low‐heterogeneity sandboxes: The role of correlation length and permeability variance (2014, background): “In contrast to observations in literature [Babadagli, 2006; Berg and Illman, 2011], the Keff values in all cases are higher than the geometric mean, indicating well-connected high permeability zones [Zinn and Harvey, 2003].”
Time and space nonlocalities underlying fractional-derivative models: Distinction and literature review of field applications (2009, background): “, the sorption/desorption mechanism discussed above) [47,65] and transport in segregated regions of high and low permeability [13,15,149,155].”