Modelling and Simulation Society of Australia and New Zealand.
Abstract
Inverse modelling techniques for estimating unsaturated
soil hydraulic parameters have become
increasingly common in the past two decades. In
contrast to single-objective parameter estimation
which yields a single set of "best fit" parameters,
multiobjective parameter estimation results in a
number of Pareto optimal solutions which allow
the analysis of the trade-off between different,
sometimes conflicting, model objectives.
In this study, modelling tools for identification of
Pareto optimal sets of vadose zone water transport
parameters are presented utilizing the numerical
water and solute transport model HYDRUS-1D.
Root-mean-square error (RMSE) values are calculated
to measure the fit of the simulated and observed
pressure head data at three different depths
at a vadose zone of volcanic origin in New Zealand
