Accurate prediction of water flow and solute traort in soils requires the use of conceptual and mathematical models using accurate description of soil hydraulic properties. Uncertainty is a serious problem in modeling and should be addressed in a comprehensive manner using all available information. Temporal variability in soil hydraulic prosperities is main reason of uncertainty in hydrological models. Traditional modeling approaches do not include temporal variability in soil hydraulic parameters. The objectives of this research are (i) to quantify temporal variability of soil hydraulic properties resulting from sewage sludge amendment, (ii) to determine the effects of temporal variability in soil hydraulic properties on chloride (Cl) and copper (Cu) traort in a calcareous soil, and (iii) to investigate the applicability of inverse estimation of hydraulic parameters to reduce uncertainty. Topsoil physical properties including bulk density, saturated hydraulic conductivity, water-stable aggregates and water retentions at -33 and -1500 kPa were measured at 23, 85, 148, 221, 330, 530 days after application of sewage sludge at 0, 25, 50 and 100 Mg ha-1. Chloride and DTPA extractable Cu concentrations were measured three different times (350, 1700 and 2450 day after of sludge application) at 20-cm intervals to a depth of 100-cm. HYDRUS-1D program was employed to model the effect of temporal variability of soil hydraulic properties on water and solute traort. Two scenarios were tested. First, the direct modeling was used to simulate traort of Cl and Cu in soil profile using the measured temporally different soil hydraulic properties. In the second scenario, inverse modeling was applied using the measured hydraulic properties as initial estimates. Temporal variability in soil physical properties were observed in different sampling dates in the control and sludge treated plots. Unsaturated hydraulic conductivity is key parameters in flow traort modeling in soil. The Ks had the highest temporal variability. The RETC software was used for estimation of unsaturated hydraulic conductivity in different sampling dates based on soil physical properties and van Geunchten (1980) and Mualem (1976) equations. Unsaturated hydraulic conductivity also showed a temporal variability. Chloride and Cu concentrations were simulated using soil hydraulic properties that were estimated for different sampling dates in deferent scenarios. The Cl traort was predicted in control plots and the 50 Mg ha-1 sludge treatment only. The model was simulated in seven scenarios using of six different measuring input parameters and mean of measuring parameters. Comparison of Cl concentration results between six different simulations with input parameters measured in six sampling period showed that model predictions is deferent.