Multiobjective inverse parameter estimation for modelling vadose zone water movement
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.... [Show full abstract]
Keywordsinverse modelling; multiobjective optimization; parameter estimation; modelling; vadose zone
TypeConference Contribution - Published (Conference Paper)
- Lincoln Ventures 
Copyright © The Authors. The responsibility for the contents of this paper rests upon the authors and not on the Modelling and Simulation Society of Australia and New Zealand Inc.