The RAP is a key parameter for the subsurface isothermal and nonisothermal multiphase flow numerical simulation (Kueper & Frind, 1991 Mohanty & Yang, 2013 Mosthaf et al., 2011 Szymkiewicz et al., 2011). It requires the definition of the relative air permeability (RAP) as a function of air content or, equivalently, a function of water content (Fischer et al., 1997 Kuang & Jiao, 2011). Key PointsĪppropriate modeling of air movement in unsaturated porous media is becoming increasingly important in various science and engineering fields, such as hydrology, agriculture, petroleum engineering, and civil and environmental engineering (Dury et al., 1999 Falta et al., 1989 Honarpour et al., 1986 Kuang & Jiao, 2011 Smits et al., 2012). The modified Burdine, modified Mualem, and modified Alexander and Skaggs models were then the suggested RAP parameterizations for the subsurface multiphase flow numerical simulation. The model and data comparison results showed that the modified Burdine, modified Mualem, and modified Alexander and Skaggs relative permeability models proposed by Yang and Mohanty (2015, ) had the highest accuracy for the RAP prediction among the 10 investigated models, which indicated that the tortuosity and connectivity exponent of water phase should be smaller than that of air phase for the disturbed soil samples. (2016, ), were then compared with data from 30 disturbed soil samples to investigate their predictive RAP performances. These 7 new models, together with another 3 models developed by Assouline et al. (1998, ) water retention function that is based on the Weibull pore size distribution, this study was conducted to derive seven new predictive RAP models.
Modeling convective air movement in unsaturated porous media requires appropriate characterization of the relative air permeability (RAP).
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