MODFLOW

MODFLOW is the USGS’s three-dimensional (3D) finite-difference groundwater model. MODFLOW is considered an international standard for simulating and predicting groundwater conditions and groundwater/surface-water interactions. Originally developed and released solely as a groundwater-flow simulation code when first published in 1984, MODFLOW’s modular structure has provided a robust framework for integration of additional simulation capabilities that build on and enhance its original scope. The family of MODFLOW-related programs now includes capabilities to simulate coupled groundwater/surface-water systems, solute transport, variable-density flow (including saltwater), aquifer-system compaction and land subsidence, parameter estimation, and groundwater management.


References in zbMATH (referenced in 48 articles )

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  1. Piret, Cécile; Dissanayake, Nadun; Gierke, John S.; Fornberg, Bengt: The radial basis functions method for improved numerical approximations of geological processes in heterogeneous systems (2020)
  2. Vassilevski, Yuri; Terekhov, Kirill; Nikitin, Kirill; Kapyrin, Ivan: Parallel finite volume computation on general meshes (2020)
  3. Zanini, Andrea; D’Oria, Marco; Tanda, Maria Giovanna; Woodbury, Allan D.: Coupling empirical Bayes and Akaike’s Bayesian information criterion to estimate aquifer transmissivity fields (2020)
  4. Zhang, Yong; Sun, HongGuang; Zheng, Chunmiao: Lagrangian solver for vector fractional diffusion in bounded anisotropic aquifers: development and application (2019)
  5. Anuprienko, D. V.; Kapyrin, I. V.: Modeling groundwater flow in unconfined conditions: numerical model and solvers’ efficiency (2018)
  6. D’Oria, Marco; Zanini, Andrea; Cupola, Fausto: Oscillatory pumping test to estimate aquifer hydraulic parameters in a Bayesian geostatistical framework (2018)
  7. Müller, Juliane; Woodbury, Joshua D.: GOSAC: global optimization with surrogate approximation of constraints (2017)
  8. Sarmah, Ratan; Barua, Gautam: Analysis of three-dimensional transient seepage into ditch drains from a ponded field (2017)
  9. Steklova, Klara; Haber, Eldad: Joint hydrogeophysical inversion: state estimation for seawater intrusion models in 3D (2017)
  10. Bakshevskaia, Veronika A.; Pozdniakov, Sergey P.: Simulation of hydraulic heterogeneity and upscaling permeability and dispersivity in Sandy-Clay formations (2016)
  11. Liu, Wei; Long, Xiaohan: A new nonconforming finite element with a conforming finite element approximation for a coupled continuum pipe-flow/Darcy model in Karst aquifers (2016)
  12. Yang, Haijian; Yang, Chao; Sun, Shuyu: Active-set reduced-space methods with nonlinear elimination for two-phase flow problems in porous media (2016)
  13. Zeitoun, D. G.: Influence of data locations on the stability of a calibrated numerical solution of a parabolic P.D.E. (2016)
  14. Li, Liangping; Srinivasan, Sanjay; Zhou, Haiyan; Gómez-Hernández, J. Jaime: Simultaneous estimation of geologic and reservoir state variables within an ensemble-based multiple-point statistic framework (2014)
  15. Liu, Wei; Kang, Zhijiang; Rui, Hongxing: Finite volume element approximation of the coupled continuum pipe-flow/Darcy model for flows in karst aquifers (2014)
  16. Liu, Wei; Wang, Zhifeng; Li, Jin: Anisotropic finite element approximation for a coupled continuum pipe-flow/Darcy model in Karst aquifers (2014)
  17. Povich, T. J.; Dawson, C. N.; Farthing, M. W.; Kees, C. E.: Finite element methods for variable density flow and solute transport (2013)
  18. Khebchareon, Morrakot: Crank-Nicolson finite element for 2-D groundwater flow, advection-dispersion and interphase mass transfer. I: model development (2012)
  19. Luo, Yufeng; Khan, Shahbaz; Peng, Shizhang; Rana, Tariq; Wang, Weiguang; Jiang, Yunlu: Effects of the discretisation cell size on the output uncertainty of regional groundwater evapotranspiration modelling (2012) ioport
  20. Zhou, Haiyan; Li, Liangping; Gómez-Hernández, J. Jaime: Characterizing curvilinear features using the localized normal-score ensemble Kalman filter (2012)

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