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Main Title Comparing Simulated and Experimental Hysteretic Two-Phase Transient Fluid Flow Phenomena.
Author Lenhard, R. J. ; Parker, J. C. ; Kaluarachchi, J. J. ;
CORP Author Battelle Pacific Northwest Labs., Richland, WA. ;Virginia Polytechnic Inst. and State Univ., Blacksburg. ;Eidgenoessische Technische Hochschule, Zurich (Switzerland).;Department of Energy, Washington, DC.;Robert S. Kerr Environmental Research Lab., Ada, OK.
Publisher c1991
Year Published 1991
Report Number DE-AC06-76RLO-1830; EPA/600/J-91/195;
Stock Number PB91-242545
Additional Subjects Water pollution ; Computerized simulation ; Two phase flow ; Environmental transport ; Hysteresis ; Subsurface investigations ; Permeability ; Saturation ; Pressure ; Porous media ; Multiphase flow ; Fluid flow ; Experimental design ; Comparison ; Physical properties ; Land pollution ; Reprints ;
Library Call Number Additional Info Location Last
NTIS  PB91-242545 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 14p
Computer codes are being increasingly employed to predict movement of chemicals and fluids through the subsurface. A hysteretic model for two-phase permeability (k)-saturation (S)-pressure (P) relations is outlined that accounts for effects of nonwetting fluid entrapment. The model can be employed in unsaturated fluid flow computer codes to predict temporal and spatial fluid distributions. Consideration is given to hysteresis in S-P relations caused by contact angle, irregular pore geometry, and nonwetting fluid entrapment effects and to hysteresis in k-S relations caused by nonwetting fluid entrapment effects. An air-water flow experiment is conducted with a 72-cm vertical soil column where the water table is fluctuated to generate scanning S-P paths. Computer simulations of the experiment employing the hysteretic k-S-P model and a nonhysteretic k-S-P are compared with measured water contents and pressures. Results of the study suggest that consideration should be given to effects of hysteresis in k-S-P relations to accurately predict fluid distributions.