TY - JOUR
T1 - Prediction of the soil water retention curve for structured soil from saturation to oven-dryness
AU - Karup, D.
AU - Moldrup, P.
AU - Tuller, M.
AU - Arthur, E.
AU - de Jonge, L. W.
N1 - Funding Information:
The study was supported by the international project Soil Infrastructure, Interfaces, and Translocation Processes in Inner Space (Soil-it-is) funded by the Danish Research Council for Technology and Production Sciences (http://www.agrsci.dk/soil-it-is/), the Danish Pesticide Leaching Assessment Programme (www.pesticidvarsling.dk) and the Danish Council for Independent Research | Technology and Production Sciences through the project ‘Water Vapor Sorption Isotherms as Proxy for Soil Surface Properties (DFF-4184-00171)’. We thank B. Bundgaard, in particular, for technical assistance.
Publisher Copyright:
© 2016 British Society of Soil Science
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The soil water retention curve (SWRC) is the most fundamental soil hydraulic function required for modelling soil–plant–atmospheric water flow and transport processes. The SWRC is intimately linked to the distribution of the size of pores, the composition of the solid phase and the soil specific surface area. Detailed measurement of the SWRC is impractical in many cases because of the excessively long equilibration times inherent to most standard methods, especially for fine textured soil. Consequently, it is more efficient to predict the SWRC based on easy-to-measure basic soil properties. In this research we evaluated a new two-stage approach developed recently to predict the SWRC based on measurements for disturbed repacked soil samples. Our study involved undisturbed structured soil and took into account the effects of bulk density, organic matter content and particle-size distribution. Independently measured SWRCs for 171 undisturbed soil samples with organic matter contents that ranged from 3 to 14% were used for model validation. The results indicate that consideration of the silt and organic matter fractions, in addition to the clay fraction, improved predictions for the dry-end SWRC. The dry-end results revealed that the smallest matric potential at hypothetical ‘zero-water-content’ varies between −45 000 and −125 000 m (pF 6.65–7.1) even for soils with similar clay mineralogy. The sensitivity analysis of the two-stage approach indicated that predicted SWRC results are more sensitive to bulk density than to organic matter content or soil texture. For the soils studied, the two-stage approach showed reasonable agreement with measured data, with a root mean square error of 0.04 cm3 cm−3 for the matric potential range from pF 1 to pF 6.6. Highlights: Is a new approach to modelling the soil water retention (SWR) curve applicable to structured soil? The model accurately predicts the full SWR curve with an RMSE of 0.04 cm3 cm−3. Prediction accuracy of the wet part of the SWR curve was sensitive to variation in bulk density. The pF at zero water content, which affects the prediction of dry SWR, ranged from 6.65 to 7.10.
AB - The soil water retention curve (SWRC) is the most fundamental soil hydraulic function required for modelling soil–plant–atmospheric water flow and transport processes. The SWRC is intimately linked to the distribution of the size of pores, the composition of the solid phase and the soil specific surface area. Detailed measurement of the SWRC is impractical in many cases because of the excessively long equilibration times inherent to most standard methods, especially for fine textured soil. Consequently, it is more efficient to predict the SWRC based on easy-to-measure basic soil properties. In this research we evaluated a new two-stage approach developed recently to predict the SWRC based on measurements for disturbed repacked soil samples. Our study involved undisturbed structured soil and took into account the effects of bulk density, organic matter content and particle-size distribution. Independently measured SWRCs for 171 undisturbed soil samples with organic matter contents that ranged from 3 to 14% were used for model validation. The results indicate that consideration of the silt and organic matter fractions, in addition to the clay fraction, improved predictions for the dry-end SWRC. The dry-end results revealed that the smallest matric potential at hypothetical ‘zero-water-content’ varies between −45 000 and −125 000 m (pF 6.65–7.1) even for soils with similar clay mineralogy. The sensitivity analysis of the two-stage approach indicated that predicted SWRC results are more sensitive to bulk density than to organic matter content or soil texture. For the soils studied, the two-stage approach showed reasonable agreement with measured data, with a root mean square error of 0.04 cm3 cm−3 for the matric potential range from pF 1 to pF 6.6. Highlights: Is a new approach to modelling the soil water retention (SWR) curve applicable to structured soil? The model accurately predicts the full SWR curve with an RMSE of 0.04 cm3 cm−3. Prediction accuracy of the wet part of the SWR curve was sensitive to variation in bulk density. The pF at zero water content, which affects the prediction of dry SWR, ranged from 6.65 to 7.10.
UR - https://www.scopus.com/pages/publications/85007193519
UR - https://www.scopus.com/pages/publications/85007193519#tab=citedBy
U2 - 10.1111/ejss.12401
DO - 10.1111/ejss.12401
M3 - Article
AN - SCOPUS:85007193519
SN - 1351-0754
VL - 68
SP - 57
EP - 65
JO - European Journal of Soil Science
JF - European Journal of Soil Science
IS - 1
ER -