Back to Search Start Over

A general Beerkan Estimation of Soil Transfer parameters method predicting hydraulic parameters of any unimodal water retention and hydraulic conductivity curves: Application to the Kosugi soil hydraulic model without using particle size distribution data

Authors :
Fernández-Gálvez, J.
Pollacco, J.A.P.
Lassabatere, L.
Angulo-Jaramillo, R.
Carrick, S.
Source :
Advances in Water Resources. Jul2019, Vol. 129, p118-130. 13p.
Publication Year :
2019

Abstract

• A general BEST method is presented for estimating soil hydraulic parameters without the need for particle-size distribution data. • Estimation of soil hydraulic parameters can be performed directly by using the quasi-exact implicit formulation of Haverkamp et al. (1994). • Kosugi and van Genuchten soil hydraulic parameters are satisfactorily retrieved with the methodology. Soil hydraulic characterization is crucial to describe the retention and transport of water in soil, but current methodologies limit its spatial applicability. This paper presents a cost-effective general Beerkan Estimation of Soil Transfer parameters (BEST) methodology using single ring infiltration experiments to derive soil hydraulic parameters for any unimodal water retention and hydraulic conductivity functions. The proposed method relies on the BEST approach. The novelty lies in the use of Kosugi hydraulic parameters without need for textural information. In addition, the method uses a quasi-exact formulation that is valid for all times, which avoids the use of approximate expansions and related inaccuracy. The new BEST methods were tested against numerically generated data for several contrasting synthetic soils, and the results show that these methods provide consistent hydraulic functions close to the target functions. The new BEST method is accurate and can use any water retention and hydraulic conductivity functions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03091708
Volume :
129
Database :
Academic Search Index
Journal :
Advances in Water Resources
Publication Type :
Academic Journal
Accession number :
137111704
Full Text :
https://doi.org/10.1016/j.advwatres.2019.05.005