2006
DOI: 10.5194/hess-10-889-2006
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Uncertainty in soil physical data at river basin scale – a review

Abstract: Abstract.For hydrological modelling studies at the river basin scale, decision makers need guidance in assessing the implications of uncertain data used by modellers as an input to modelling tools. Simulated solute transport through the unsaturated zone is associated with uncertainty due to spatial variability of soil hydraulic properties and derived hydraulic model parameters. In general for modelling studies at the river basin scale spatially available data at various scales must be aggregated to an appropri… Show more

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Cited by 16 publications
(3 citation statements)
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References 90 publications
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“…(19). K s is one of the soil properties with strong in situ variations (van der Keur and Iversen, 2006). Variation of one order of magnitude is normal for K s between different locations in one field.…”
Section: Resultsmentioning
confidence: 99%
“…(19). K s is one of the soil properties with strong in situ variations (van der Keur and Iversen, 2006). Variation of one order of magnitude is normal for K s between different locations in one field.…”
Section: Resultsmentioning
confidence: 99%
“…On the surface, both K s and microtopography play a key role in regulating surface runoff spatial distribution and intensity [31,32]. In their review of uncertainty in soil physical properties, [33] summarize the assessment of horizontal saturated hydraulic conductivity autocorrelation from the literature: it can vary from 1 m [34,30] to 120 m [35] for field areas from 0.25 ha [36] to 14 ha [35]. The land surface heterogeneity effect has been much less studied, but according to [37] and [38], ignoring small scale dynamics by representing complex slopes as smooth landforms leads to an inaccurate representation of the hydrological response.…”
Section: Introductionmentioning
confidence: 99%
“…When K s heterogeneity is represented in studies, it is via a lognormal distribution per layer [41] or even for the whole soil [42,43,44,45], with the challenge being to define the relevant correlation scale, which is also dependent on the study scale [33]. For microtopography, most hillslope scale studies describe it with a Gaussian distribution [46,47,48,49], despite recognition that the degree and structure of this heterogeneity are scale and time dependent [50,51].…”
Section: Introductionmentioning
confidence: 99%