2014
DOI: 10.1016/j.still.2013.08.012
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Investigation of spatial and temporal variability of saturated soil hydraulic conductivity at the field-scale

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Cited by 58 publications
(43 citation statements)
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References 56 publications
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“…Hydraulic conductivity depends on particle size distribution, soil structure, soil density, and content of macropores >20 μm, and especially on the activity of plant roots, soil meso-and macrofauna, and determining the presence of vertical biogenic channels [11,44,50,51]. The diversity of factors affecting the conducting properties of soils causes a large spatial and temporal variation of obtained values.…”
Section: Discussionmentioning
confidence: 99%
“…Hydraulic conductivity depends on particle size distribution, soil structure, soil density, and content of macropores >20 μm, and especially on the activity of plant roots, soil meso-and macrofauna, and determining the presence of vertical biogenic channels [11,44,50,51]. The diversity of factors affecting the conducting properties of soils causes a large spatial and temporal variation of obtained values.…”
Section: Discussionmentioning
confidence: 99%
“…The saturated conductivity at the reference temperature (e.g. 20 C), K fs,ref , can be obtained by the following relationship (Bagarello and Iovino 2010;Rienzner and Gandolfi 2014):…”
Section: Issues Of Practical Interestmentioning
confidence: 99%
“…Preferential flow occurred at the sampled site due to the presence of gravitational pores and the GP tests were considered appropriate to estimate the saturated conductivity of the macropore domain using the dual-permeability model. In a recent field-scale investigation, Rienzner and Gandolfi (2014) used the relation between the mean and the standard deviation of the log-transformed GP data to distinguish the matrix from the macropores (fracture system in dual porosity media). In more detail, the mean and the standard deviation of the log-transformed GP data can be linearly related according to the following relationship (Rienzner and Gandolfi 2014):…”
Section: ð2:17bþmentioning
confidence: 99%
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“…There is a long history of using field data and numerical inversion to estimate soil parameters (e.g., Kool et al, 1985;Russo et al, 1991;Simunek and van Genuchten, 1996;Lassabatere et al, 2006;Ramos et al, 2006;Xu et al, 2012;Rienzner and Gandolfi, 2014). However, these experiments typically use point measurements from instruments such as single ring permeameters or tension disk infiltrometers and therefore do not capture the effective response at the plot scale.…”
Section: T G Wilson Et Al: Plot-scale Rainfall Simulation and Paramentioning
confidence: 99%