Journal article
Obtaining soil hydraulic properties for water balance and leaching models from survey data. 2. Hydraulic conductivity
Australian Journal of Agricultural Research, Vol.50(7), pp.1259-1262
1999
Abstract
Regional scale application of water and solute transport models is often limited by the lack of available data describing soil hydraulic properties and their variability. Direct measurement over large areas is expensive and time consuming. Physico-empirical models derived from soil survey data are therefore an attractive alternative. If the Marshall method of estimating the saturated hydraulic conductivity is simplified to depend primarily on the maximum pore radius, given by the bubbling pressure, then it is equivalent to the Campbell model of saturated hydraulic conductivity which relies entirely on an estimate of the bubbling pressure obtained from particle size data. We apply this simplified physico-empirical model to estimate the ‘matrix’, or textural saturated hydraulic conductivity, K m, using estimates of the bubbling pressure derived entirely from clay content data that are readily available in soil surveys. Model estimates are compared with in situ measurements on surface soils obtained using a disc permeameter with a negative pressure head at the supply surface of 40 mm. Results appear to be satisfactory for broad-scale water balance and leaching risk models that require specification of a matching point for the unsaturated hydraulic conductivity function and for modelling applications requiring generalised application of results from experimental sites.
Details
- Title
- Obtaining soil hydraulic properties for water balance and leaching models from survey data. 2. Hydraulic conductivity
- Authors/Creators
- K.R.J. Smettem (Author/Creator)K.L. Bristow (Author/Creator)
- Publication Details
- Australian Journal of Agricultural Research, Vol.50(7), pp.1259-1262
- Publisher
- CSIRO
- Identifiers
- 991005542899407891
- Copyright
- © CSIRO 1999
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 7 Engineering & Materials Science
- 7.133 Geotechnical Engineering
- 7.133.986 Unsaturated Soil Mechanics
- Web Of Science research areas
- Agriculture, Multidisciplinary
- ESI research areas
- Agricultural Sciences