## 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.

### Citations

1870 | A new look at the statistical model identification - Akaike - 1974 |

58 | Estimation of aquifer parameters under transient and steady-state conditions: application to synthetic and field data - Carrera, Neuman - 1986 |

47 |
Developing joint probability distributions of soil water retention characteristics
- Carsel, Parrish
- 1988
(Show Context)
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... |

20 |
iTOUGH2 User’s Guide
- Finsterle
- 1999
(Show Context)
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... |

19 | Optimal choice of AR and MA parts in autoregressive moving average models - Kashyap - 1982 |

11 |
TOUGH2 User’s Guide, Version
- Pruess, Oldenburg, et al.
- 1999
(Show Context)
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 ... |

10 |
Uncertainty Analyses of Infiltration and Subsurface Flow and Transport for SDMP Sites:' NUREG/CR-6565, U.S. Nuclear Regula tory Commission
- Meyer, Rockhold, et al.
- 1997
(Show Context)
Citation Context ...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 content Water water con... |

10 | Genuchten , Neural network analysis for hierarchical prediction of soil hydraulic properties. Soil Science Society of America Journal 62 - Schaap - 1998 |

9 | Transfer Functions and Threshold Values: From Soil Characteristics to Land Qualities - Bouma, Lanen - 1987 |

9 |
Experimental design: Review and comment
- Steinberg, Hunter
- 1984
(Show Context)
Citation Context ...criterion (determinant of the covariance matrix of parameter estimation errors), A-optimality criterion (trace of this matrix), E-optimality criterion (largest absolute eigenvalue of the same matrix, =-=Steinberg and Hunter, 1984-=-), calibration criterion (weighted sum of squared residuals) and its logarithm. These model fit criteria can be used to compare the quality of different models having similar structure and number of p... |

7 |
iTOUGH2 Sample Problems
- Finsterle
- 1999
(Show Context)
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... |

4 |
Estimation of soil water properties. Trans
- Rawls, Brakensiek, et al.
- 1982
(Show Context)
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... |

2 |
Uncertainty analysis of groundwater flow and solute transport in unsaturated-saturated soil: Maricopa Case
- Wang
- 2002
(Show Context)
Citation Context ... support for a layered representation of the soils; the same is suggested by a visual examination of soil profiles in boreholes and neutron count ratios, which correlate with soil compositional data (=-=Wang, 2002-=-). The neutron data reveal a perched water table at a depth of about 13 m. Hence it appears sensible to represent the upper 13 m of the vadose zone by 8–9 layers consisting of three distinct soil type... |

2 | Simulation of Large-Scale Field Infiltration Experiments Using a Hierarchy of Models Based on Public, Generic and Site Data - Wang, Neuman, et al. |