Elsevier

Pedosphere

Volume 21, Issue 2, April 2011, Pages 230-237
Pedosphere

Evaluation of Pedotransfer Functions for Estimating Soil Water Retention Curve of Saline and Saline-Alkali Soils of Iran

https://doi.org/10.1016/S1002-0160(11)60122-7Get rights and content

Abstract

Soil water retention data are essential for irrigation scheduling and determination of irrigation frequency. However, direct measurement of this characteristic is time consuming and expensive and furthermore its spatial and temporal variabilities in field scales increase the number of measurements. Different pedotransfer functions, such as Saxton et al., Campbell, Vereecken et al., Rawls and Brakensiek, Wösten et al., Rajkai et al., Ghorbani Dashtaki and Homaee, Zacharias and Wessolek, and Rosetta, were evaluated to estimate soil water retention of saline and saline-alkali soils collected from south of Tehran, Iran. The saturation-extract conductivity of all the 68 samples and exchangeable sodium percentage of more than half of them were measured to be greater than 4 dS m−1 and 15%, respectively. The calculated Akaike's information criterion values showed that Saxton et al. and Campbell models were the best in estimation of soil water retention curve and total available water, respectively.

References (51)

  • F. Ungaro et al.

    Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padanao-Veneta region of North Italy: Water retention properties

    Geoderma.

    (2005)
  • M. van den Berg et al.

    Pedotransfer functions for the estimation of moisture retention characteristics of Ferralsols and related soils

    Geoderma.

    (1997)
  • B. Wagner et al.

    Evaluation of pedo-transfer functions for unsaturated soil hydraulic conductivity using an independent data set

    Geoderma.

    (2001)
  • J.H.M. Wösten et al.

    Development and use of adatabase of hydraulic properties of European soils

    Geoderma.

    (1999)
  • G.R. Blake et al.

    Bulk density

  • J. Bouma et al.

    Transfer functions and threshold values: from soil characteristics to land qualities

  • R.H. Brooks et al.

    Hydraulic Properties of Porous Media. Hydrology Paper No. 3

    (1964)
  • G.S. Campbell

    Soil Physics with Basic

    (1985)
  • R.F. Carsel et al.

    Developing joint probability distributions of soil water retention characteristics

    Water Resour. Res.

    (1988)
  • R.B. Clapp et al.

    Empirical equations for some soil hydraulic properties

    Water Resour. Res.

    (1978)
  • W.M. Cornelis et al.

    Evaluation of pedotransfer functions for predicting the soil moisture retention curve

    Soil Sci. Soc. Am. J.

    (2001)
  • G.W. Gee et al.

    Particle-size analysis

  • B. Ghanbarian-Alavijeh et al.

    Evaluation of soil texture data for estimating soil water retention curve

    Can. J. Soil Sci.

    (2009)
  • B. Ghanbarian-Alavijeh et al.

    Point pedotransfer functions for estimating soil water retention curve

    Int. Agrophys.

    (2010)
  • Sh. Ghorbani Dashtaki et al.

    Using geometric mean particle diameter to derive point and continuous pedotransfer functions

    (2004)
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