Bayesian Inversion of Soil Hydraulic Properties from Simplified Evaporation Experiments: Use of DREAM(ZS) Algorithm

There is an increasing interest in identifying soil hydraulic properties from simplified evaporation experiments. However, the conventional method includes a deficit due to using linear assumption and not accounting for uncertainty parameters. A suggested alternative assessing parameter uncertainties through inverse modeling. We examined combination of Bayesian method, namely, DREAM(ZS), numerical simulation model, HYDRUS-1D, inversion with data The likelihood function could be conditioned only on pressure head observations (single-objective (SO)), or both rate (multi-objective (MO)), different treatments top boundary condition. Three synthetic experiments were generated terms types sand, loam clay verify modeling method. MO approach performed better than SO when stage 1 was kept constant. more robust oscillations existed potential rate. Then, adopted investigate two real loamy-sand soils compared assumption. reliable wet conditions but always useable relatively dry condition, such as that 2 evaporation. successful capturing whole process involved.