analysis technique, which is based on the existence of physical similarity in the system; and (ii) the empirical A recent study showed all parameters in the Brooks-Corey equamethod, called functional normalization, which is based tions of soil hydraulic properties are strongly correlated to the poreon regression analysis. The similar-media scaling of Miller size distribution index (). These values relate and can scale cumulative and Miller (1956) and the fractal-based approaches of infiltration and water contents during redistribution across dissimilar textural classes under different rainfall and initial conditions. The objec- Tyler and Wheatcraft (1990), Rieu and Sposito (1991), tives of this work were to explore if relationships exist between evaporaand Hunt and Gee (2002) are examples of the first method.
tion (E ) and transpiration (T ) and across different soil types and ifMost of the scaling work cited above has extended the these relationships can be used to scale E and T among these soils. The similar-media scaling concept to field soils that are gen-Root Zone Water Quality Model generated evaporation under four poerally "nonsimilar" by invoking additional empirical astential rates and transpiration under one potential rate with a goosesumptions and using a regression method. grass [Eleusine indica (L.) Gaertn.] in 11 soil textural classes under Very limited research has been done on relating soil near-saturated initial conditions. Stage I cumulative evaporation or hydraulic properties across widely dissimilar soil textranspiration that occurs when the soil is sufficiently wet to meet the tural classes. Gregson et al. (1987) showed that the slope potential rates had a quadratic relationship with . However, both Stage II cumulative evaporation and transpiration were cubic functions and intercept of the commonly used Brooks and Corey of with time-dependent coefficients. It is shown that these relation-(1964) log-log relationship for soil matric potentialships can be used to estimate both Stage I and II cumulative evaporawater content function, below the air-entry value, were tion and transpiration across unknown soils, especially when data for highly correlated across 41 Australian and British soil one dominant reference soil type is known. The methods developed classes. This formed the basis for their one-parameter for estimating cumulative evaporation were applied and compared model for estimating the soil water retention curve in with experimental results of three initially saturated soils under conany soil. In a recent book chapter, Williams and Ahuja stant evaporation with good results. These results for simple homoge-(2003) showed that: (i) there was a strong relationship neous soils should be useful in quantifying spatial variability of evapobetween the intercepts and slopes of textural class mean ration and transpiration in the field under similar conditions, and could form the basis for further research of more complex conditions.