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 23 articles )

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  1. Zeitoun, D.G.: Influence of data locations on the stability of a calibrated numerical solution of a parabolic P.D.E. (2016)
  2. 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)
  3. 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)
  4. Zhou, Haiyan; Li, Liangping; Gómez-Hernández, J.Jaime: Characterizing curvilinear features using the localized normal-score ensemble Kalman filter (2012)
  5. Loper, David E.; Chicken, Eric: A leaky-conduit model of transient flow in karstic aquifers (2011)
  6. Xu, Zengguang; Wu, Yanqing; Wu, Jun; Zhong, Xiaoqing: A model of seepage field in the tailings dam considering the chemical clogging process (2011)
  7. Meerschaert, Mark M.; Zhang, Yong; Baeumer, Boris: Particle tracking for fractional diffusion with two time scales (2010)
  8. Wilson, John David; Naff, Richard L.: Multigrid preconditioned conjugate-gradient solver for mixed finite-element method (2010)
  9. Raffensperger, John F.; Milke, Mark W.; Read, E.Grant: A deterministic smart market model for groundwater (2009)
  10. Ayenew, Tenalem; Demlie, Molla; Wohnlich, Stefan: Application of numerical modeling for groundwater flow system analysis in the Akaki catchment, central Ethiopia (2008)
  11. Lu, Zhiming; Zhang, Dongxiao; Chen, Yan: Information fusion using the Kalman filter based on Karhunen-Loève decomposition (2008)
  12. Psilovikos, Aris: Stability analysis of an implicit finite difference scheme of the governing differential equation used by groundwater model MODFLOW (2008)
  13. Smaoui, Hassan; Zouhri, Lahcen; Ouahsine, Abdellatif: Flux-limiting techniques for simulation of pollutant transport in porous media: application to groundwater management (2008)
  14. Benekos, I.D.; Shoemaker, C.A.; Stedinger, J.R.: Probabilistic risk and uncertainty analysis for bioremediation of four chlorinated ethenes in groundwater (2007)
  15. Kim, Kyung-Ho; Lee, Kang-Kun: Optimization of groundwater-monitoring networks for identification of the distribution of a contaminant plume (2007)
  16. Horak, Jiri; Unucka, Jan; Stromsky, Josef; Marsik, Vladimir; Orlik, Antonin: TRANSCAT DSS architecture and modelling services (2006)
  17. Yin, Hai-Long; Xu, Zu-Xin; Li, Huai-Zheng; Li, Song: Numerical modeling of wastewater transport and degradation in soil aquifer (2006)
  18. Fučík, Radek; Illangasekare, Tissa H.; Mikyška, Jiří: Evaluation of saturation-dependent flux on two-phase flow using generalized semi-analytic solution (2005)
  19. Coppola, Emery jun.; Szidarovszky, Ferenc: Conflict between water supply and environmental health risk: a computational neural network approach (2004)
  20. Dawes, W.R.; Gilfedder, M.; Walker, G.R.; Evans, W.R.: Biophysical modelling of catchment-scale surface water and groundwater response to land-use change (2004)

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