Premium
Soil Water Retention Curves Characterization of a Natural Forested Hillslope using a Scaling Technique Based on a Lognormal Pore‐Size Distribution
Author(s) -
Hayashi Yuki,
Kosugi Ken'ichirou,
Mizuyama Takahisa
Publication year - 2009
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2007.0235
Subject(s) - log normal distribution , soil science , scaling , porosity , soil water , spatial variability , radius , environmental science , pressure head , water content , water retention curve , standard deviation , hydrology (agriculture) , geology , mathematics , water retention , geotechnical engineering , geometry , statistics , physics , computer security , computer science , thermodynamics
Heterogeneous water flow is known to be an important factor of hydrological processes in a natural forested hillslope. To model heterogeneous water flow, the characterization of spatial variability in water retention curve (WRC) is required. The scaling technique introduced by Miller and Miller is effective to characterize it for conditions of constant standard deviation (STD) in pore‐size distribution and porosity, but this is not necessarily appropriate for forested hillslopes. We tested the conventional scaling method and the two proposed methods that presume that field soils do not exhibit constant STD and porosity. The observed WRCs were fitted using a model, which assumes a lognormal pore‐radius distribution and contains three parameters: the matric pressure head related to the median pore radius, ψ m ; the STD of the log‐transformed pore radius distribution, σ; and the effective porosity, θ e In Method 1, which corresponds to the conventional scaling method, ψ m was optimized for each soil, whereas the values of σ and θ e were common for the whole data set. In Method 2, σ was optimized for each soil, and in Method 3, θ e was optimized for each soil, whereas the values of the remaining parameters were common for the whole data set. Method 3 produced the best description of spatial variability in the WRCs. This result indicates that in the natural forested hillslope, variability in the pore‐size distribution is characterized by variability in effective porosity. In practical aspect, we suggested an alternative simpler method to Method 3. In this method, the θ e for each location was estimated from soil penetration resistances measurable in situ. This method explained 59.3% of the spatial variability in WRCs on the studied natural forested hillslope.