TY - JOUR ID - 81325 TI - Performance Enhancement of the Tuller-Or model for Soil Water Characteristic Curve Via Optimization of The Soil Pore Size Distribution Parameters JO - Iranian Journal of Soil and Water Research JA - IJSWR LA - en SN - 2008-479X AU - Zare Sourmanabad, Marzieh AU - Norouzi, Sarem AU - Mirzaei, Farhad AU - Ebrahimian, Hamed AD - M.Sc. Student, Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran AD - Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran AD - Associate Professor, Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran Y1 - 2021 PY - 2021 VL - 52 IS - 3 SP - 811 EP - 823 KW - Soil Water Retention Curve KW - Adsorption and capillarity KW - Weibull pore size distribution DO - 10.22059/ijswr.2021.315276.668832 N2 - Models to explain water characteristic curve and liquid distribution in partially saturated porous media are abundant, mostly based on the “bundle of cylindrical capillaries” (BCC) representation of pore-space geometry. The assumptions in the BCC model are that 1- certain pore sizes are completely filled by liquid whereas larger pores are completely empty at a given saturation level and 2- the surface area and adsorbed liquid films are ignored. Tuller-Or (TO) model is among the few physical-based models that considers both the capillary and adsorption phenomena via introducing a new pore space geometry with angular central pores attached to slit-shape pores. However, the original TO model fails to describe experimental data in the intermediate saturation range because of the limited flexibility of the probability distribution invested for describing the pore size space. In this study a new enhanced form of TO model was proposed which is based on the numerical solution and is capable of using Gamma distribution for pore size distribution with arbitrary shape factor and |Weibull distribution. The results obtained from the optimized model for soils with different textures showed significant improvement compared to the original model, especially in mid-range saturations whereas the original TO model shows low accuracy. The new enhanced version also includes a global search algorithm for fitting the TO model that provides unique set of fitting parameters that are independent of initial guesses. UR - https://ijswr.ut.ac.ir/article_81325.html L1 - https://ijswr.ut.ac.ir/article_81325_7e172c6bb7dfbc2edcb4bfab63989543.pdf ER -