## COMPARATIVE SIMULATIONS OF A LARGE-SCALE FIELD INFILTRATION EXPERIMENT 3

### BibTeX

@MISC{Wang_comparativesimulations,

author = {Wenbin Wang and Shlomo P. Neuman and Tzung-mow Yao and Peter J. Wierenga},

title = {COMPARATIVE SIMULATIONS OF A LARGE-SCALE FIELD INFILTRATION EXPERIMENT 3},

year = {}

}

### OpenURL

### Abstract

TOUGH2 and iTOUGH2 are used to conduct forward and inverse simulations of a large-scale infiltration experiment at the Maricopa Agricultural Center (MAC) near Phoenix, Arizona. Three site representations are considered: uniform horizontal layers, layers composed of uniform segments, and layers having randomly varying properties. Due to a paucity of hydraulic parameter measurements at the MAC, these are inferred from soil compositional data using generic data bases and pedotransfer functions. Variogram analyses of these data support the laterally nonuniform and randomly variable site representations. To reproduce observed water contents it is necessary to modify the inferred hydraulic parameters through inverse modeling based on preliminary sensitivity and error analyses. Model discrimination criteria are used to rank the three calibrated site models. Layers composed of uniform segments are ranked highest due to their superior performance and relative simplicity. The choice representation is validated by using it to reproduce water contents during another infiltration experiment.

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Citation Context ...ues equal to mean values of a generic database for the corresponding soil class. Wang et al. (2003) considered three such databases (RAWLS, Rawls et al., 1982; ROSETTA, Schaap and Leij, 1998; CARSEL, =-=Carsel and Parrish, 1988-=-, and Meyer et al., 1997) and found that one of them (CARSEL) gave better reproductions of observed behavior at the MAC than the other two. We therefore ascribe CARSEL mean values to the layers. Water... |

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Citation Context ...ed system behavior outside this plot at the top boundary. During the remainder of the experiment, the soil surface constitutes a no-flow boundary. Water contents INVERSE FLOW MODELING We use iTOUGH2 (=-=Finsterle, 1999-=-a-b) to calibrate our flow models against observed water contents at the MAC. The inverse code estimates hydraulic parameters by minimizing a weighted sum of squared water content and parameter residu... |

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Citation Context ...ntation is one of layers having randomly varying soil compositions, with a structure represented by the corresponding variograms. FORWARD FLOW MODELING Forward simulations are conducted using TOUGH2 (=-=Pruess et al., 1999-=-) by assigning the above mean or random hydraulic parameters to each cell of a finite difference grid. Cells measure 2.0 m horizontally and 10 cm vertically, covering a N-S vertical section 13 m deep ... |

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Citation Context ...ed system behavior outside this plot at the top boundary. During the remainder of the experiment, the soil surface constitutes a no-flow boundary. Water contents INVERSE FLOW MODELING We use iTOUGH2 (=-=Finsterle, 1999-=-a-b) to calibrate our flow models against observed water contents at the MAC. The inverse code estimates hydraulic parameters by minimizing a weighted sum of squared water content and parameter residu... |

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Citation Context ...t by ascribing to each uniform layer hydraulic parameter values equal to mean values of a generic database for the corresponding soil class. Wang et al. (2003) considered three such databases (RAWLS, =-=Rawls et al., 1982-=-; ROSETTA, Schaap and Leij, 1998; CARSEL, Carsel and Parrish, 1988, and Meyer et al., 1997) and found that one of them (CARSEL) gave better reproductions of observed behavior at the MAC than the other... |

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