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

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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, Ks, 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 β = 1.9 and γ = 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 Ks at a sampling point differed by not more than a factor of two from the Ks value obtained by the Wu et al. (1999) method. The SFH technique yielded Ks 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.
Lingua originaleEnglish
pagine (da-a)300-307
Numero di pagine8
RivistaGeoderma
Volume235–236
Stato di pubblicazionePublished - 2014

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sandy loam soils
hydraulic property
sandy loam
fluid mechanics
soil
methodology
infiltration (hydrology)
infiltration
method
laboratory method
prediction
water retention
parameter
application methods
hydraulic conductivity
swelling
laboratory techniques
soil type
soil types
soil properties

All Science Journal Classification (ASJC) codes

  • Soil Science

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title = "An assessment of the Beerkan method for determining the hydraulic properties of a sandy loam soil",
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, Ks, 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 β = 1.9 and γ = 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 Ks at a sampling point differed by not more than a factor of two from the Ks value obtained by the Wu et al. (1999) method. The SFH technique yielded Ks 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.",
author = "Giuseppe Giordano and Massimo Iovino and Vincenzo Bagarello and {Di Prima}, Simone and Simona Consoli and Barbagallo and Aiello",
year = "2014",
language = "English",
volume = "235–236",
pages = "300--307",
journal = "Geoderma",
issn = "0016-7061",
publisher = "Elsevier",

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TY - JOUR

T1 - An assessment of the Beerkan method for determining the hydraulic properties of a sandy loam soil

AU - Giordano, Giuseppe

AU - Iovino, Massimo

AU - Bagarello, Vincenzo

AU - Di Prima, Simone

AU - Consoli, Simona

AU - Barbagallo, null

AU - Aiello, null

PY - 2014

Y1 - 2014

N2 - 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, Ks, 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 β = 1.9 and γ = 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 Ks at a sampling point differed by not more than a factor of two from the Ks value obtained by the Wu et al. (1999) method. The SFH technique yielded Ks 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.

AB - 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, Ks, 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 β = 1.9 and γ = 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 Ks at a sampling point differed by not more than a factor of two from the Ks value obtained by the Wu et al. (1999) method. The SFH technique yielded Ks 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.

UR - http://hdl.handle.net/10447/95857

M3 - Article

VL - 235–236

SP - 300

EP - 307

JO - Geoderma

JF - Geoderma

SN - 0016-7061

ER -