Abstract

Abstract. Descriptions of soil hydraulic properties, such as the soil moisture retention curve, θ(h), and saturated hydraulic conductivities, Ks, are a prerequisite for hydrological models. Since the measurement of Ks is expensive, it is frequently derived from statistical pedotransfer functions (PTFs). Because it is usually more difficult to describe Ks than θ(h) from pedotransfer functions, Pollacco et al. (2013) developed a physical unimodal model to compute Ks solely from hydraulic parameters derived from the Kosugi θ(h). This unimodal Ks model, which is based on a unimodal Kosugi soil pore-size distribution, was developed by combining the approach of Hagen–Poiseuille with Darcy's law and by introducing three tortuosity parameters. We report here on (1) the suitability of the Pollacco unimodal Ks model to predict Ks for a range of New Zealand soils from the New Zealand soil database (S-map) and (2) further adaptations to this model to adapt it to dual-porosity structured soils by computing the soil water flux through a continuous function of an improved bimodal pore-size distribution. The improved bimodal Ks model was tested with a New Zealand data set derived from historical measurements of Ks and θ(h) for a range of soils derived from sandstone and siltstone. The Ks data were collected using a small core size of 10 cm diameter, causing large uncertainty in replicate measurements. Predictions of Ks were further improved by distinguishing topsoils from subsoil. Nevertheless, as expected, stratifying the data with soil texture only slightly improved the predictions of the physical Ks models because the Ks model is based on pore-size distribution and the calibrated parameters were obtained within the physically feasible range. The improvements made to the unimodal Ks model by using the new bimodal Ks model are modest when compared to the unimodal model, which is explained by the poor accuracy of measured total porosity. Nevertheless, the new bimodal model provides an acceptable fit to the observed data. The study highlights the importance of improving Ks measurements with larger cores.

Highlights

  • Modelling of the water budget, irrigation, and nutrient and contaminant transport through the unsaturated zone requires accurate soil moisture retention, θ (h), and unsaturated hydraulic conductivity, K(θ ), curves

  • There is an urgent need in New Zealand to develop a physically based Ks model which is based on pore-size distribution

  • There are a number of closed-form unimodal expressions in the literature that compute the soil moisture retention curve θ (h) and the unsaturated hydraulic conductivity K(θ ) curves, such as the commonly used van Genuchten (1980) and Brooks and Corey (1964) curves

Read more

Summary

Introduction

Modelling of the water budget, irrigation, and nutrient and contaminant transport through the unsaturated zone requires accurate soil moisture retention, θ (h), and unsaturated hydraulic conductivity, K(θ ), curves. The considerable time and cost involved in measuring θ (h) and K(θ ) directly for a range of soils mean that the information for specific soils of interest is often not available (Webb, 2003). These curves are generally retrieved from pedotransfer functions (PTFs), which are statistical relationships that generate lower-precision estimates of physical properties of interest based on many rapid and inexpensive measurements The unimodal Kosugi log-normal probability density function of pore radius (r) is often written in the following form: dθ = θs − θr √. Integrating Eq (1) from 0 to r yields the unimodal water retention curve as a function of r: Se (r )

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call