Connectivity metrics for subsurface flow and transport

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Image processing of multiphase images obtained via X‐ray microtomography: A review (2014, positive): “Finally, a dimensionless connectivity indicator for a specific phase is calculated [Renard and Allard, 2013]: Ca5 1 N2a XNl i51 n2i (17) where each cluster of phase a has a label li and a size ni, Nl is the number of clusters and Nn is the number of all phase a voxels.”
Inverse methods in hydrogeology: Evolution and recent trends (2014, background): “…1991; Gómez-650 Hernández and Wen, 1998; Journel and Deutsch, 1993; Woodbury and Ulrych, 1993; Zinn and Harvey,651 2003; Kerrou et al., 2008; Renard and Allard, 2011), and the dangers of using a multiGaussian model in652 aquifers with high continuity of extreme values were already exposed…”
Expanding the role of reactive transport models in critical zone processes (2017, background): “…of connectivity, transverse mixing, and reactive interfaces of heterogeneous porous media in regulating solute transport (Pedretti et al., 2013; Renard and Allard, 2013; Rolle and Kitanidis, 2014) and reactions (Chiogna et al., 2011; Jin et al., 2011; Rolle et al., 2009; Salehikhoo and Li,…”
Solute transport in low‐heterogeneity sandboxes: The role of correlation length and permeability variance (2014, background): “Various numerical studies have identified connectivity and correlation length as key parameters that determine solute breakthrough [Renard and Allard, 2013; Willmann et al., 2008; Zinn and Harvey, 2003].”