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Soil Science Society of America Journal : Just Published


Accepted, edited articles are published here after author proofing to provide rapid publication and better access to the newest soil science research. Articles are compiled into bimonthly issues at, which includes the complete archive. Citation | Articles posted here are considered published and may be cited by the doi.

Nouwakpo, S. K. and C.-H. Huang. 2012. A Fluidized Bed Technique for Estimating Soil Critical Shear Stress Soil Sci. Soc. Am. J. doi:10.2136/sssaj2012.0056

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Current issue: Soil Sci. Soc. Am. J. 79(3)


    • DongHao Ma, JiaBao Zhang, YunXuan Lu, Laosheng Wu and QuanJiu Wang
      Derivation of the Relationships between Green–Ampt Model Parameters and Soil Hydraulic Properties

      The Green–Ampt model (GAM) is a widely used water infiltration model. However, it lacks a reliable theoretical basis to independently and simultaneously determine the GAM parameters of effective hydraulic conductivity (Ke) and the average matric pressure head at the wetting front (Hf) from those commonly measured soil hydraulic properties. In this paper, we derived an approximate analytical solution similar to GAM for one-dimensional vertical infiltration into soils with initially uniform soil moisture distribution, with Ke and Hf being simultaneously related to the Brooks–Corey (BC) model parameters. The new relationships are not restricted to the piston-type moisture profile or delta-type water diffusivity like in the traditional GAM (TGAM). (continued)

      Published: May 22, 2015

    • Ebrahim Babaeian, Mehdi Homaee, Harry Vereecken, Carsten Montzka, Ali Akbar Norouzi and Martinus Th. van Genuchten
      A Comparative Study of Multiple Approaches for Predicting the Soil–Water Retention Curve: Hyperspectral Information vs. Basic Soil Properties

      Information about the soil–water retention curve is necessary for modeling water flow and solute transport processes in soils. Soil spectroscopy in the visible, near-infrared, and shortwave infrared (Vis-NIR-SWIR) range has been widely used as a rapid, cost-effective and nondestructive technique to predict soil properties. However, less attention has been paid to predict soil hydraulic properties using soil spectral data. In this paper, spectral reflectances of soil samples from the Zanjanrood watershed, Iran, were measured in the Vis-NIR-SWIR ranges (350–2500 nm). (continued)

      Published: May 22, 2015

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