Establishing the ability of the Beerkan Estimation of Soil Transfer parameters (BEST) procedure to reproduce soil properties is necessary for specific soil types. In this investigation, the BEST predictions for a sandy loam soil were compared with water retention data obtained by a standard laboratory method and with the saturated soil hydraulic conductivity, K-s, obtained by both the Wu et al. (1999) method, applied to the BEST infiltration data, and the Simplified Falling Head (SFH) technique. When the original BEST-slope algorithm with the infiltration constants fixed at beta = 1.9 and gamma = 0.79 was applied, the agreement between the predicted and the measured retention data was satisfactory in terms of similarity of the means and correlation and coincidence between the regression and identity lines. The prediction of K-s, at a sampling point differed by not more than a factor of two from the K-s, value obtained by the Wu et al. (1999) method. The SFH technique yielded K-s, values approximately five times higher than those of BEST, probably because soil disturbance during water application, swelling and air entrapment phenomena had a lower impact on the measured infiltration data with the former technique. In conclusion, BEST is a promising approach for easily characterizing a soil, but its method of application should be adapted to the particular situation under consideration. Additional investigations carried out on different soils would allow development of more general procedures for applying BEST. (C) 2014 Elsevier B.V. All rights reserved.

An assessment of the Beerkan method for determining the hydraulic properties of a sandy loam soil / Aiello, R.; Bagarello, V.; Barbagallo, S.; Consoli, S.; Di Prima, S.; Giordano, G.; Iovino, M.. - In: GEODERMA. - ISSN 0016-7061. - 235-236:(2014), pp. 300-307. [10.1016/j.geoderma.2014.07.024]

An assessment of the Beerkan method for determining the hydraulic properties of a sandy loam soil

AIELLO, Rosario;Bagarello V.;Di Prima S.;Iovino M.
2014

Abstract

Establishing the ability of the Beerkan Estimation of Soil Transfer parameters (BEST) procedure to reproduce soil properties is necessary for specific soil types. In this investigation, the BEST predictions for a sandy loam soil were compared with water retention data obtained by a standard laboratory method and with the saturated soil hydraulic conductivity, K-s, obtained by both the Wu et al. (1999) method, applied to the BEST infiltration data, and the Simplified Falling Head (SFH) technique. When the original BEST-slope algorithm with the infiltration constants fixed at beta = 1.9 and gamma = 0.79 was applied, the agreement between the predicted and the measured retention data was satisfactory in terms of similarity of the means and correlation and coincidence between the regression and identity lines. The prediction of K-s, at a sampling point differed by not more than a factor of two from the K-s, value obtained by the Wu et al. (1999) method. The SFH technique yielded K-s, values approximately five times higher than those of BEST, probably because soil disturbance during water application, swelling and air entrapment phenomena had a lower impact on the measured infiltration data with the former technique. In conclusion, BEST is a promising approach for easily characterizing a soil, but its method of application should be adapted to the particular situation under consideration. Additional investigations carried out on different soils would allow development of more general procedures for applying BEST. (C) 2014 Elsevier B.V. All rights reserved.
An assessment of the Beerkan method for determining the hydraulic properties of a sandy loam soil / Aiello, R.; Bagarello, V.; Barbagallo, S.; Consoli, S.; Di Prima, S.; Giordano, G.; Iovino, M.. - In: GEODERMA. - ISSN 0016-7061. - 235-236:(2014), pp. 300-307. [10.1016/j.geoderma.2014.07.024]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11388/228442
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 33
  • ???jsp.display-item.citation.isi??? 31
social impact