Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention

Research output: Contribution to journalArticlepeer-review

Standard

Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention. / Guber, A.; Pachepsky, Ya.; van Genuchten, M.; Rawls, W.; Simunek, J.; Jacques, Diederik; Nicholson, T.; Cady, R.

In: Vadose Zone Journal, Vol. 5, 03.2006, p. 222-233.

Research output: Contribution to journalArticlepeer-review

Harvard

Guber, A, Pachepsky, Y, van Genuchten, M, Rawls, W, Simunek, J, Jacques, D, Nicholson, T & Cady, R 2006, 'Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention', Vadose Zone Journal, vol. 5, pp. 222-233. https://doi.org/10.2136/vzj2005.0111

APA

Guber, A., Pachepsky, Y., van Genuchten, M., Rawls, W., Simunek, J., Jacques, D., Nicholson, T., & Cady, R. (2006). Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention. Vadose Zone Journal, 5, 222-233. https://doi.org/10.2136/vzj2005.0111

Vancouver

Guber A, Pachepsky Y, van Genuchten M, Rawls W, Simunek J, Jacques D et al. Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention. Vadose Zone Journal. 2006 Mar;5:222-233. https://doi.org/10.2136/vzj2005.0111

Author

Guber, A. ; Pachepsky, Ya. ; van Genuchten, M. ; Rawls, W. ; Simunek, J. ; Jacques, Diederik ; Nicholson, T. ; Cady, R. / Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention. In: Vadose Zone Journal. 2006 ; Vol. 5. pp. 222-233.

Bibtex - Download

@article{3c384b31312f4673ac37930b576fad47,
title = "Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention",
abstract = "Using pedotransfer functions (PTF) to estimate soil hydraulic properties is an alternative to direct laboratory measurement. The accuracy of a PTF outside of its development dataset is generally unknown. Multimodel ensemble prediction techniques (relying on different (PTF) models) can help to cope with this uncertainty. The objective was to estimate the applicability of an ensemble of PTFs for water regime simulations. Measured soil water contents at 60 points in a field transect. Water retention was measured in the laboratory.Contents of soil textural fractions, organic matter content, and bulk density were averaged across the transect and used as input in the ensemble of 22 published PTFs developed from large datasets in different regions. The HYDRUS-1D software was used to simulate water content time series with each of the PTFs from the ensemble and the laboratory-measured water retention data. Simulations with the PTF ensemble had, on average, two times smaller errors those from using laboratory data. A possible explanation for this is that the PTF estimation gave substantially better approximations of field water retention than the laboratory data. The ensemble prediction appears to be a promising source of soil hydraulic properties to simulate soil water dynamics",
keywords = "vadose zone, water flow, hydrus-1D, pedotransferfunctions",
author = "A. Guber and Ya. Pachepsky and {van Genuchten}, M. and W. Rawls and J. Simunek and Diederik Jacques and T. Nicholson and R. Cady",
note = "Score = 10",
year = "2006",
month = mar,
doi = "10.2136/vzj2005.0111",
language = "English",
volume = "5",
pages = "222--233",
journal = "Vadose Zone Journal",
issn = "1539-1663",
publisher = "SSSA - Soil Science Society of America",

}

RIS - Download

TY - JOUR

T1 - Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention

AU - Guber, A.

AU - Pachepsky, Ya.

AU - van Genuchten, M.

AU - Rawls, W.

AU - Simunek, J.

AU - Jacques, Diederik

AU - Nicholson, T.

AU - Cady, R.

N1 - Score = 10

PY - 2006/3

Y1 - 2006/3

N2 - Using pedotransfer functions (PTF) to estimate soil hydraulic properties is an alternative to direct laboratory measurement. The accuracy of a PTF outside of its development dataset is generally unknown. Multimodel ensemble prediction techniques (relying on different (PTF) models) can help to cope with this uncertainty. The objective was to estimate the applicability of an ensemble of PTFs for water regime simulations. Measured soil water contents at 60 points in a field transect. Water retention was measured in the laboratory.Contents of soil textural fractions, organic matter content, and bulk density were averaged across the transect and used as input in the ensemble of 22 published PTFs developed from large datasets in different regions. The HYDRUS-1D software was used to simulate water content time series with each of the PTFs from the ensemble and the laboratory-measured water retention data. Simulations with the PTF ensemble had, on average, two times smaller errors those from using laboratory data. A possible explanation for this is that the PTF estimation gave substantially better approximations of field water retention than the laboratory data. The ensemble prediction appears to be a promising source of soil hydraulic properties to simulate soil water dynamics

AB - Using pedotransfer functions (PTF) to estimate soil hydraulic properties is an alternative to direct laboratory measurement. The accuracy of a PTF outside of its development dataset is generally unknown. Multimodel ensemble prediction techniques (relying on different (PTF) models) can help to cope with this uncertainty. The objective was to estimate the applicability of an ensemble of PTFs for water regime simulations. Measured soil water contents at 60 points in a field transect. Water retention was measured in the laboratory.Contents of soil textural fractions, organic matter content, and bulk density were averaged across the transect and used as input in the ensemble of 22 published PTFs developed from large datasets in different regions. The HYDRUS-1D software was used to simulate water content time series with each of the PTFs from the ensemble and the laboratory-measured water retention data. Simulations with the PTF ensemble had, on average, two times smaller errors those from using laboratory data. A possible explanation for this is that the PTF estimation gave substantially better approximations of field water retention than the laboratory data. The ensemble prediction appears to be a promising source of soil hydraulic properties to simulate soil water dynamics

KW - vadose zone

KW - water flow

KW - hydrus-1D

KW - pedotransferfunctions

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_31594

UR - http://knowledgecentre.sckcen.be/so2/bibref/3589

U2 - 10.2136/vzj2005.0111

DO - 10.2136/vzj2005.0111

M3 - Article

VL - 5

SP - 222

EP - 233

JO - Vadose Zone Journal

JF - Vadose Zone Journal

SN - 1539-1663

ER -

ID: 304853