When Steady-State Is Not Enough

  • J. Jaime Gómez-Hernández
  • Teng Xu
  • Haiyan Zhou
  • Liangping Li
Conference paper
Part of the Lecture Notes in Earth System Sciences book series (LNESS)

Abstract

Steady-state piezometric head data have always been regarded as containing only information about the major patterns of variability of hydraulic conductivity, but not about specific features, such as channels, or local scale heterogeneity. We have attempted to characterize a channeled aquifer using only steady-state piezometric head without success. However, in a companion paper, we demonstrate how transient piezometric head data can be used to characterize a bimodal aquifer for which no prior information on the aquifer spatial heterogeneity is available using a localized version of the normal-score ensemble Kalman filter.

Keywords

Hydraulic Conductivity Piezometric Head Ensemble Variance Hydraulic Conductivity Field Assimilation Step 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Xu, T., Jaime Gómez-Hernández, J., Zhou, H., & Li, L. (2013). The power of transient piezometric head data in inverse modeling: an application of the localized normal-score enkf with covariance inflation in a heterogenous bimodal hydraulic conductivity field. Advances in Water Resources, 54, 100–118.CrossRefGoogle Scholar
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    Zhou, H., Gómez-Hernández, J., Hendricks Franssen, H., & Li, L. (2011). An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering. Advances in Water Resources, 34(7), 844–864.CrossRefGoogle Scholar
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    McDonald, M., & Harbaugh, A. (1984). A modular three-dimensional finite-difference ground-water flow model. Washington: Scientific Publications Company.Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • J. Jaime Gómez-Hernández
    • 1
  • Teng Xu
    • 1
  • Haiyan Zhou
    • 2
  • Liangping Li
    • 2
  1. 1.Research Institute of Water and Environmental EngineeringUniversitat Politècnica de ValènciaValenciaSpain
  2. 2.Center for Petroleum and Geosystems EngineeringUniversity of Texas at AustinAustinUSA

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