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MODFLOW

MODFLOW is a modular, three-dimensional finite-difference groundwater flow model developed by the United States Geological Survey (USGS) for simulating steady-state and transient groundwater conditions in aquifers, and it is widely regarded as an international standard for such hydrologic modeling. First released publicly in 1984, MODFLOW has evolved through multiple versions to address increasingly complex groundwater systems, with its modular design allowing users to customize simulations by selecting and combining packages for various hydrologic stresses such as wells, rivers, recharge, and evapotranspiration. Key historical updates include MODFLOW-2005, which enhanced solver capabilities and added support for nonlinear flow equations in unconfined aquifers via the MODFLOW-NWT variant released in 2011. The latest core version, MODFLOW 6, introduced in 2017, represents a major overhaul as an object-oriented framework that supports multiple model types within a single simulation, including groundwater flow (GWF), solute transport (GWT), energy transport (GWE), and particle tracking (PRT). This version improves upon predecessors by enabling unstructured grids (such as triangular or quadrilateral elements), nested grid capabilities, and seamless integration of surface-water and groundwater interactions, while including tools for converting older models to the new format. MODFLOW's versatility has made it essential for applications in water resource management, environmental impact assessments, and scientific research worldwide, with ongoing development ensuring compatibility with emerging computational needs.

Overview

Description and Purpose

MODFLOW is a modular, three-dimensional finite-difference model developed by the (USGS) in , designed to solve the for simulating flow in saturated porous media. The model simulates both steady-state and transient conditions in confined, unconfined, and mixed aquifers, enabling analyses of hydraulic heads, flow paths, and interactions with features. Its primary purposes include supporting for planning, assessing contaminant and plume migration, and predicting land due to aquifer compaction. A hallmark of MODFLOW is its , which allows users to selectively activate or deactivate processes—such as river-aquifer interactions via the River (RIV) package or well pumping via the Well (WEL) package—without altering the core , facilitating customized simulations for diverse hydrogeologic settings. The software operates on both Windows and Unix-based systems and has been freely available in the since its initial release, promoting accessibility for researchers, consultants, and agencies worldwide. MODFLOW has become the international standard for modeling, widely adopted by hydrogeologists and integrated into geographic information systems (GIS) and other hydrologic software tools like ModelMuse and FloPy for enhanced preprocessing, , and . As of 2025, the latest iteration, MODFLOW 6, incorporates support for unstructured grids to improve resolution in complex geometries and provides an application programming interface () for custom integrations, such as coupling with energy transport models.

Development History

MODFLOW was conceived in 1981 by Michael G. McDonald and Allan W. Harbaugh at the U.S. Geological Survey (USGS) as a modular three-dimensional finite-difference model, with the initial version completed and released in 1984 as USGS Open-File Report 83-875. Written in 66, the model drew inspiration from modular designs in and earlier hydrologic models to enable flexible assembly of components for diverse problems. This addressed the growing need for a standardized, user-friendly for modeling, spurred by 1980s regulatory demands for water resource management and environmental protection, including assessments related to hazardous waste sites under programs like . Key early milestones included the 1988 release of MODFLOW-88, which updated the code to Fortran 77 and provided revised documentation in USGS Techniques and Methods, book 6, chapter A1, enhancing accessibility and public adoption. In 1996, MODFLOW-96 introduced a name file for improved usability and significant Fortran code refinements, broadening its application within and beyond the USGS. The 2000 version, MODFLOW-2000, incorporated the "process" concept to support solute transport and parameter estimation, along with sensitivity analysis capabilities, marking a shift toward more integrated hydrologic simulations. This was followed in 2005 by MODFLOW-2005, which adopted Fortran 90 with modular data management, advanced solvers, and support for nested and refined grids to handle complex spatial variability. A modern paradigm shift occurred with the 2017 launch of MODFLOW 6, an object-oriented in 2003 that supports , multiple models in a single simulation, and robust solvers like Newton-Raphson formulations, building on prior efforts in MODFLOW-USG. In 2020, the MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) version 2 was released, extending the MODFLOW-2005 to integrate , , and agricultural processes for conjunctive-use in one-water contexts. Under continued USGS leadership, development has emphasized extensibility, with ongoing efforts as of 2025 focusing on integrations based on the Basic Model Interface () for enhanced interoperability and climate-related modeling enhancements, such as the new Energy Transport (GWE) model for simulation released in May 2024.

Theoretical Basis

Groundwater Flow Equation

The groundwater flow equation in MODFLOW is derived from the fundamental principles of and the for fluid flow in porous media. Darcy's law states that the specific discharge \mathbf{q} is proportional to the hydraulic gradient, expressed as \mathbf{q} = - \mathbf{K} \nabla h, where \mathbf{K} is the tensor and h is the . The continuity equation ensures for incompressible flow, stating that the divergence of the specific discharge equals the rate of change in storage minus sources or sinks: \nabla \cdot \mathbf{q} = S_s \frac{\partial h}{\partial t} - W, where S_s is the and W represents volumetric fluid sources or sinks per unit volume. Combining these yields the three-dimensional for saturated, anisotropic aquifers. For transient flow in confined aquifers, the governing (PDE) is: \frac{\partial}{\partial x} \left( K_{xx} \frac{\partial h}{\partial x} \right) + \frac{\partial}{\partial y} \left( K_{yy} \frac{\partial h}{\partial y} \right) + \frac{\partial}{\partial z} \left( K_{zz} \frac{\partial h}{\partial z} \right) + W = S_s \frac{\partial h}{\partial t} Here, h is the (in units of length L); K_{xx}, K_{yy}, and K_{zz} are the principal components of along the x, y, and z directions (L/T); W is the source/sink term (T^{-1}); S_s is the (L^{-1}); and t is time (T). This form assumes constant saturated thickness and applies to heterogeneous and anisotropic conditions, with the coordinate axes aligned to the principal directions of . Variants of the equation address different aquifer types and flow regimes. In unconfined aquifers, the equation incorporates variable saturated thickness, using specific yield S_y (dimensionless) instead of S_s when the water table falls below the top of the model cell, to account for drainage under the water table; this introduces nonlinearity, often handled via approximations like the Newton-Raphson method. For steady-state conditions, the transient term is removed (\frac{\partial h}{\partial t} = 0), simplifying to: \frac{\partial}{\partial x} \left( K_{xx} \frac{\partial h}{\partial x} \right) + \frac{\partial}{\partial y} \left( K_{yy} \frac{\partial h}{\partial y} \right) + \frac{\partial}{\partial z} \left( K_{zz} \frac{\partial h}{\partial z} \right) + W = 0 with storage terms omitted. Boundary conditions define the domain edges and interactions. Dirichlet conditions impose fixed (h = constant), such as constant-head cells representing lakes or rivers with known water levels. Neumann conditions specify flux, including no-flow boundaries (zero flux) or fixed influx like recharge. Cauchy conditions handle head-dependent flux, such as Q = C (h - h_b), where Q is (L^3/T), C is conductance (L^3/T), h is aquifer head, and h_b is boundary head, applied to features like streams or drains. The equation assumes saturated flow throughout the domain, with constant fluid density and viscosity, which limits its direct applicability to scenarios like . These assumptions are relaxed in extensions such as SEAWAT, a MODFLOW-based program that couples variable-density flow with solute transport.

Numerical Methods

MODFLOW employs the finite-difference method to approximate solutions to the on a discretized . In early versions, such as the original model and MODFLOW-2005, the is divided into a block-centered grid consisting of rows, columns, and layers, where each cell is centered on the block and represents a . Spatial derivatives are approximated using central differences; for example, the of with respect to the x-direction is computed as \partial h / \partial x \approx (h_{i+1,j,k} - h_{i-1,j,k}) / (2 \Delta x), enabling the calculation of inter-cell flows based on . Grid discretization has evolved to accommodate complex geometries. Early implementations relied on structured rectangular grids, which are efficient for regular domains but less flexible for irregular boundaries. In MODFLOW 6, introduced in 2017, the model supports unstructured grids, including Voronoi tessellations via the DISU package, allowing cells with arbitrary polygonal shapes and user-defined connectivity to better represent heterogeneous aquifers and intricate boundaries while maintaining mass conservation through a control-volume finite-difference (CVFD) formulation. Time discretization in MODFLOW uses an implicit finite-difference scheme to ensure , particularly for transient simulations. The is applied, where the change in over a time step \Delta t is approximated as (h^n - h^{n-1}) / \Delta t, with all terms evaluated at the current time level n, allowing larger time steps without restrictions. The discretized equations are assembled into a of the form A \mathbf{h} = \mathbf{Q}, where A is the conductance matrix representing hydraulic connections between cells, \mathbf{h} is the of hydraulic heads, and \mathbf{Q} includes and sink terms such as recharge, pumping, and storage changes. Conductances are computed from properties like and grid spacing, with iterative solvers addressing the sparse . For multi-aquifer systems, vertical flow between layers is handled through leakage terms based on vertical conductance. In block-centered formulations, the flow Q between adjacent layers is given by Q = C (h_{k+1} - h_k), where C is the vertical conductance derived from vertical and layer thicknesses, facilitating simulation of confining beds and inter-aquifer exchange. In MODFLOW 6, this extends to unstructured grids with generalized connectivity.

Assumptions and Limitations

MODFLOW operates under several fundamental assumptions that simplify the representation of groundwater systems for numerical simulation. It assumes homogeneous (uniform within each cell) but potentially anisotropic hydraulic properties, such as hydraulic conductivity, within each finite-difference cell, allowing for uniform flow calculations across the cell despite potential subsurface heterogeneity. The model is designed exclusively for saturated groundwater flow, neglecting unsaturated zone dynamics and capillary fringe effects, with water release or uptake from storage assumed to occur instantaneously. Additionally, MODFLOW presumes constant fluid properties, including density and viscosity, which restricts its direct application to scenarios without these invariances. It does not natively support multiphase or unsaturated flow processes, focusing instead on single-phase, saturated conditions. These assumptions impose notable limitations on MODFLOW's applicability. The model adheres strictly to for flow between cells, rendering it unsuitable for turbulent or non-Darcian flows, such as those in high-velocity systems. Its grid-based finite-difference can limit resolution for sharp hydraulic gradients, potentially introducing errors in areas requiring fine-scale detail, as accuracy depends on cell size and alignment with principal conductivity directions. Large-scale simulations are computationally intensive, particularly with nonlinearities, transient conditions, or complex packages, though later versions incorporate parallelization to mitigate this. Common challenges include numerical oscillations in unconfined aquifers, which can arise during wetting and drying cycles or with formulations, often addressed through specialized solvers like the Newton formulation. MODFLOW lacks built-in support for density-dependent flow, necessitating extensions such as SEAWAT for variable-density simulations. To overcome some resolution limitations, workarounds like nested grids via the Local Grid Refinement (LGR) utility in allow embedding finer child grids within coarser parent grids, enabling targeted high-resolution modeling in areas of interest without excessive computational cost across the entire domain. Extensions for advanced physics, such as those integrating solute transport, further expand capabilities beyond core saturated flow. Model reliability is highly sensitive to parameterization, where small changes in inputs like can significantly alter simulated heads and fluxes, underscoring the need for rigorous against field data such as observed hydraulic heads and streamflows to ensure accuracy and reduce non-uniqueness.

Version History

Early Versions (1980s–1990s)

The development of MODFLOW began in the early at the U.S. Geological Survey (USGS), with initial work on a modular three-dimensional finite-difference model conducted between 1981 and 1983 by Michael G. McDonald and Arlen W. Harbaugh. This prototype, coded primarily in 66, focused on basic simulation of saturated using block-centered finite differences on structured grids, without full in its earliest form. The model was first publicly documented in as USGS Open-File Report 83-875, establishing the foundational framework for solving the through finite-difference approximations. In 1988, the USGS released MODFLOW-88, a significant rewrite in 77 that introduced the model's hallmark modular structure, allowing independent packages to handle specific hydrologic processes such as wells, rivers, and recharge. Core packages included the Basic (BAS) package for input/output management and the Block-Centered Flow (BCF) package for simulating internal flow between cells using conductance calculated via and the method. This version supported both steady-state and transient simulations, with capabilities for confined, unconfined, and convertible aquifers, though limited to a single instance of each package. Incremental updates through the early , such as version 2.6, added improved error handling and enhancements, including preconditioned conjugate-gradient solvers to address issues in large models. By the mid-1990s, MODFLOW had evolved further with the release of MODFLOW-96 in , which refined handling through a standardized name file and updated documentation to enhance user accessibility. This version incorporated early integrations like the MODPATH particle-tracking program, first developed in 1989 as a post-processor for pathline analysis in steady-state flow fields. Additional packages emerged during this period, such as the Streamflow-Routing (STR1) package for stream-aquifer interactions introduced in 1989 and the Interbed-Drainage package for modeling in 1991, expanding the model's ability to simulate surface-groundwater exchanges and geomechanical effects. Initial experiments with graphical user interfaces, like the MODFLOW-GUI developed for version 96, began to address the command-line limitations of earlier releases. MODFLOW's early versions standardized block-centered finite-difference methods, enabling efficient of heterogeneous on rectangular grids, which became a cornerstone for modeling. By the early , the model had gained widespread adoption within the USGS and external agencies, including early Environmental Protection Agency (EPA) assessments of contaminant plumes and management, due to its flexibility and open-source availability. However, these releases faced limitations, such as reliance on symmetric solvers without support, restrictions to structured grids, and challenges in handling wetting/drying in unconfined systems, which constrained simulations of complex transient behaviors.

MODFLOW 2000–2005

MODFLOW-2000, released in July 2000 by the U.S. Geological Survey (USGS), represented a significant evolution of the modular model, introducing an enhanced structure that facilitated the integration of advanced capabilities such as parameter estimation and solute transport simulation. This version maintained the finite-difference formulation of prior iterations but expanded the modular framework to include "processes" alongside traditional packages, allowing for more flexible model configuration and broader applicability to complex hydrologic systems. The initial release (version 1.0) was followed by iterative updates, with version 1.19.01 in March 2010 providing compiled executables for Microsoft Windows and incorporating bug fixes for stability in large simulations. Key enhancements in MODFLOW-2000 focused on improving computational efficiency and model . It incorporated advanced solvers, including the Preconditioned Conjugate-Gradient (PCG2) package for faster in iterative solutions and the Geometric Multigrid (GMG) solver, which leveraged multigrid techniques to handle systems with millions of nodes more effectively. Additionally, an interface for external algebraic multigrid solvers like SAMG was enabled through the Link-AMG (LMG) package, further accelerating solutions for large-scale problems. For parameter estimation, MODFLOW-2000 introduced built-in akin to functionality, including the Process (SEN1), Observation Process (OBS1), and Parameter-Estimation Process (PES1), which allowed users to optimize model parameters against field data directly within the simulation workflow. The Link-MT3DMS (LMT6) package was also added to seamlessly couple MODFLOW-2000 with the MT3DMS solute transport model, enabling multi-species mass transport simulations essential for contaminant studies. MODFLOW-2005, released in 2006 and supported through 2017, built upon the MODFLOW-2000 framework with refinements aimed at handling heterogeneous aquifers and multi-scale simulations. It introduced support for running multiple models within a single execution, particularly through integration with locally refined grid (LGR) capabilities, which allowed embedding high-resolution child grids within coarser parent grids to capture fine-scale features without excessive computational demand. Version 1.12.00, released in 2017, enhanced the Hydrogeologic-Unit Flow (HUF) package for representing heterogeneous aquifer units with vertically varying properties, improving accuracy in layered systems. For unconfined flow simulations, MODFLOW-2005 laid the groundwork for the Upstream Weighting (UPW) package, which was later formalized in extensions like MODFLOW-NWT to better manage nonlinearities in wetting and drying cells through continuous head-dependent functions. Among the key innovations during this period, the package (OBS1 in MODFLOW-2000 and refined in ) enabled systematic comparison of simulated heads, fluxes, and advective transport against field observations, supporting robust model calibration and . Basic was also introduced, allowing MODFLOW-2000 and to be compiled with (MPI) for on multiprocessor systems, which reduced runtime for large models by distributing solving tasks. These developments from 2000 to 2005 were driven by the growing demand for simulating regional basin-scale systems, where increased model sizes and integration with processes required more efficient solvers and flexible parameterization to inform water resource management decisions.

MODFLOW 6 and Later Developments

MODFLOW 6, released in 2017 by the U.S. Geological Survey (USGS), represents a major redesign of the MODFLOW using an object-oriented structure to enable flexible simulation of and related processes. This version incorporates capabilities from previous variants, supporting both structured and unstructured grids through the by Layers () package for regular grids and the Discretization by Vertices (DISV) package for irregular, vertex-based grids, allowing for more accurate representation of complex geologic features. Additionally, MODFLOW 6 integrates the Groundwater Transport (GWT) model for simulating solute transport in three dimensions, facilitating coupled flow and transport analyses within a unified . Key enhancements in MODFLOW 6 versions include the addition of an in version 6.2.2, released in July 2021, which allows external programs to interact with the model without source code modifications, enhancing and with other software. Subsequent releases, such as version 6.6.0 in December 2024 and 6.6.3 in 2025, have focused on bug fixes, performance optimizations, and expanded support for advanced solvers. As of November 2025, the latest version is 6.6.3. MODFLOW 6 builds on precursor developments, including MODFLOW-NWT from 2011, which introduced a Newton-Raphson to handle nonlinearities in unconfined and /rewetting cells more robustly. This was followed by MODFLOW-USG in 2016, which provided the foundational capabilities later integrated into MODFLOW 6 for simulating tightly coupled processes on flexible meshes. As of November 2025, MODFLOW 6 development continues actively on , with ongoing contributions from the USGS and community to refine core functionalities and add new packages. Relatedly, the MODFLOW One-Water Hydrologic Flow Model (OWHM) version 2.3.1b-4, released in February 2025, bolsters coupled simulations of farm water use, river-aquifer interactions, and conjunctive management scenarios. Among its advantages, MODFLOW 6 supports multi-model simulations within a single run, enabling seamless coupling of , , and surface processes for comprehensive hydrologic assessments. Python bindings via the FloPy library facilitate model setup, execution, and visualization, broadening accessibility for researchers and practitioners. The framework also maintains with earlier MODFLOW input formats, easing transitions from legacy models.

Model Components

Core Packages

The core packages in MODFLOW form the foundational components for simulating , defining the model domain, hydraulic properties, and essential boundary conditions. These packages are modular, allowing users to activate them selectively through input files to construct simulations tailored to specific hydrogeologic settings. All MODFLOW simulations require at least the Basic Package and a flow package, with boundary packages added as needed to represent external stresses. This modular design, introduced in the original MODFLOW version in , enables flexible configuration while ensuring compatibility across versions. The Basic Package (BAS in early versions, BAS6 in MODFLOW 6) establishes the fundamental structure of the model, including the spatial , temporal , initial conditions, and output specifications. It defines the number of layers, rows, and columns; the lengths of periods and time steps within each; and the status of each (active, inactive, or constant-head). BAS6 also handles the and reporting of hydraulic heads, drawdowns, and water budgets, providing essential outputs for model verification. Originally introduced in 1984 as part of the inaugural MODFLOW release, the Basic Package has evolved to support both structured and unstructured grids in MODFLOW 6 (released 2017), while maintaining for legacy models. Flow packages govern the internal representation of groundwater movement through the , specifying properties such as , coefficients, and /drying behavior. The Block-Centered Package (BCF or BCF6 in later adaptations) was the original flow package, introduced in 1984, which uses a block-centered finite-difference scheme to compute inter-cell conductances for confined, unconfined, or convertible layers. It calculates horizontal and vertical terms based on layer transmissivities, thicknesses, and , supporting dewatering corrections for unconfined conditions. In MODFLOW 6, the Newtonian Package (NPF) supersedes BCF and other legacy flow packages (e.g., Layer-Property or LPF), providing enhanced capabilities for variations, assignments (isotropic or anisotropic), and thresholds to reactivate dry cells. NPF integrates optional Newton-Raphson linearization for handling nonlinear water-table dynamics and supports variable vertical conductance options like dewatered or perched conditions. These packages are activated once per model and are essential for all flow simulations. Boundary packages simulate interactions between the groundwater system and external features, introducing head-dependent or fixed fluxes at model edges or internal points. The Well Package (WEL) represents extraction or injection at discrete locations, specifying flow rates independent of local heads, with options for automatic reduction if drawdown limits are exceeded. Rivers (RIV), introduced in 1984, model head-dependent leakage using river stage, bed conductance, and bottom elevation, ceasing flow when the water table drops below the riverbed. The Drain Package (DRN), also from 1984, simulates surface drains or tiles that remove water only when heads exceed the drain elevation, based on conductance. General-Head Boundaries (GHB), originating in 1984, allow flexible head-dependent fluxes to external reservoirs by specifying reference heads and conductances. Constant-Head boundaries (CHD), defined via the Basic Package's cell status array since 1984 (with dedicated input enhancements by 1991), enforce fixed potentials at specified cells, influencing adjacent flows without direct rate specification. Later additions include the Lake Package (LAK), introduced in 2005 for MODFLOW-2005 to simulate dynamic lake levels, storage, and interactions with aquifers via connected cells, and the Multi-Aquifer Well Package (MAW) in MODFLOW 6 (2017), which extends WEL to handle wells penetrating multiple layers with variable flow distribution. These packages are invoked as needed per stress period through input files, contributing terms to the finite-difference equations for budget tracking.
PackageKey FunctionHead DependencyIntroduced
WELPumping/injection at pointsNone (specified rates)1984
RIVRiver-aquifer leakageYes (conductance-based)1984
DRNDrainage when head > elevationYes (conductance-based)1984
GHBFlux to external headsYes (conductance-based)1984
CHDFixed potentialsNone (enforced heads)1988
LAKDynamic lake storage and flowYes (level-dependent)2005
MAWMulti-layer well flowsNone (specified rates, distributed)2017

Solver and Utility Packages

MODFLOW incorporates several solver packages to address the linear systems arising from the finite-difference discretization of the . The Preconditioned Conjugate Gradient (PCG) solver, introduced in MODFLOW-2000, solves symmetric positive definite matrices using an incomplete Cholesky and conjugate iterations, making it suitable for steady-state and transient simulations in confined aquifers. The Link-AMG (LMG) package, also from MODFLOW-2000, interfaces with the algebraic multigrid (SAMG) solver developed by Fraunhofer SCAI, enabling efficient handling of large, ill-conditioned systems through multilevel and smoothing techniques. For nonlinear problems, particularly in unconfined flow with drying and rewetting, the Newton-Raphson formulation (NWT) solver was added in 2011 as part of MODFLOW-NWT. It linearizes the flow equations using upstream weighting for conductances and supports asymmetric solvers like GMRES to manage the resulting matrices, improving convergence in complex water-table scenarios compared to earlier iterations. In MODFLOW 6, the Iterative Model Solution (IMS) package serves as the default solver, supporting both symmetric and asymmetric formulations with options for preconditioned conjugate gradient, BiCGSTAB, and GMRES methods, while enabling via MPI for multi-model simulations. Utility packages in MODFLOW facilitate data management and analysis. The Output Control (OC) package controls the printing and saving of simulation results, such as heads, drawdowns, and budgets, at specified time steps or periods to or text files for post-processing. The Observation (OBS) utility records simulated heads, flows, and other variables at user-specified locations and times, providing essential data for model validation against field measurements. The (STO) package computes changes in stored due to specific and storage coefficients, contributing to the overall budget and transient response in the model. Advanced features in MODFLOW 6 include the Multiplier (MVR) package, which simulates water transfers between model features like wells, streams, and lakes using provider-receiver rules to enforce mass balance in management scenarios. The Discretization (DIS) input defines the spatial grid structure, including cell dimensions and properties, supporting structured grids with variable thicknesses for efficient setup of simulation domains. The IMS solver enhances performance in large-scale models by reducing the number of iterations through robust preconditioning and tight coupling of multiple groundwater flow models, achieving faster convergence for grids exceeding millions of cells. MODFLOW's solvers and utilities integrate with external calibration tools like , where OBS data inform parameter estimation by minimizing residuals between simulated and observed values, enabling automated optimization of hydraulic properties and boundary conditions.

Solute Transport and Particle Tracking

Solute transport modeling in the MODFLOW framework extends the groundwater flow simulation capabilities by incorporating advective-dispersive processes and chemical reactions, enabling the of contaminant plumes and fate in aquifers. These models rely on fields generated by MODFLOW to solve the governing transport equations, typically as post-processors or integrated components. Key developments include standalone codes like MT3D/MS and MODPATH, which have evolved to support multi-species reactions, unstructured grids, and specialized applications such as density-dependent flow. The foundational solute transport model, MT3D/MS, was introduced in 1990 to simulate three-dimensional advection, dispersion, and reactive processes of contaminants in groundwater systems simulated by finite-difference flow models like MODFLOW. It solves the advection-dispersion-reaction equation: \frac{\partial C}{\partial t} = \nabla \cdot (D \nabla C) - \nabla \cdot (v C) + \frac{q_s C_s - \lambda C + R}{n} where C is solute concentration, t is time, D is the hydrodynamic dispersion tensor, v is the seepage velocity from MODFLOW, q_s is the volumetric flow rate of sources or sinks, C_s is the source concentration, \lambda is the linear decay rate, R represents other reactions, and n is effective porosity. This modular design allows flexible coupling with MODFLOW outputs, supporting applications in contaminant hydrogeology. MT3DMS, released in 1999, enhanced the original MT3D by adding multi-species transport capabilities, including sequential decay chains and general reactions via user-defined kinetic formulations, while maintaining . It interfaces directly with MODFLOW-2000 and later versions, using cell-by-cell flow files to compute velocities for transport calculations. In 2016, the USGS released MT3D-USGS, an updated version that extends support to unstructured grids and advanced MODFLOW packages like Newton-Raphson solvers, improving accuracy for complex flow fields without altering the core equation. These variants have been widely adopted for simulating multi-component plumes, such as or volatile organics, in heterogeneous aquifers. Particle tracking complements solute transport by delineating advective pathlines and travel times in MODFLOW velocity fields, aiding in capture zone analysis and plume source identification. MODPATH, developed in , is a post-processing tool that traces particles forward or backward along steady-state or transient flow paths using semi-analytical integration of the velocity field, assuming no dispersion for pure . It computes pathlines, travel times, and zones, essential for wellhead protection and remediation design; for example, backward tracking from extraction wells defines contributing areas in or fractured systems. Recent updates, such as MODPATH 7 (2016), support MODFLOW 6's unstructured grids and for large-scale simulations. Advancements in recent years include MODFLOW-USG Transport (updated 2024), which integrates solute on unstructured grids with features for (PFAS), such as nonlinear and competitive sorption isotherms, and unsaturated zone flow via dual-porosity models. This allows simulation of PFAS migration through vadose zones with matrix diffusion and interfacial adsorption, addressing limitations in legacy codes for emerging contaminants. Similarly, SEAWAT, introduced in 2000, couples MODFLOW and MT3DMS to handle variable-density effects from solutes like intrusion, modifying the to: \frac{\partial (\rho C)}{\partial t} = \nabla \cdot (\rho D \nabla C - \rho v C) + \rho q_s C_s - \rho \lambda C + \rho R where \rho is fluid density dependent on concentration, enabling coupled flow-transport simulations for buoyancy-driven systems. In MODFLOW 6, the Groundwater Transport (GWT) model provides native integration of these processes, running concurrently with the flow solver for multi-species transport, including advanced boundary conditions like streams and unsaturated flow, without requiring separate executables. These tools collectively support comprehensive subsurface dynamics, from simple advection to complex reactive scenarios.

Integrated Surface-Groundwater Models

Integrated surface-groundwater models extend MODFLOW's capabilities by coupling with processes, unsaturated zone dynamics, and agricultural management to simulate holistic hydrologic systems. These extensions address limitations in standalone models by incorporating interactions such as stream-aquifer exchanges, diversions, and recharge from precipitation-runoff processes, enabling more accurate representations of conjunctive use in managed basins. The MODFLOW One-Water Hydrologic Flow Model (MF-OWHM), released in version 1.0 in 2014 with significant updates through 2025, serves as a primary framework for such integrations. It builds on MODFLOW-2005 by adding processes for routing and farm operations, allowing simulation of groundwater- interactions at scales. Key additions include the Surface-Water (SWR) process for managing diversions and deliveries, which simulates surface water pumping and canal flows connected to the Streamflow (SFR) package. Version 2.3.1b-4, released in 2025, enhances streamflow accuracy through improved kinematic wave approximations and dynamic reservoir operations via the Surface Water Operations (SWO) process. Central to MF-OWHM is the Farm Process (FMP), which models agricultural water demands and supplies in version 2 (FMP2, 2009) and later iterations up to FMP4. FMP simulates crop-specific water use by estimating based on crop coefficients and growth stages, then allocates supplies from pumping, diversions, and imported sources to meet total farm delivery requirements. It accounts for conveyance losses through inefficiency fractions, routing seepage and runoff as return flows to streams or overland surfaces, thereby capturing non-consumptive uses in irrigated systems. This process has been widely applied under California's Sustainable Groundwater Management Act (SGMA) to evaluate basin-scale , such as in the Central and Pajaro , where it links farm-level decisions to broader hydrologic budgets. Other notable integrations include SWAT+MODFLOW, introduced in 2025, which couples the Soil and Water Assessment Tool (SWAT+) for surface processes like overland flow and channel routing with MODFLOW-NWT for subsurface flow. This model operates on daily time steps across grids, facilitating simulations of pumping, seepage, and at scales like the 10,000 km² Basin, and provides open-source tools for calibration. Earlier, GSFLOW (2006) coupled MODFLOW-2005 with the Precipitation-Runoff Modeling System (PRMS) to model land-surface processes including , infiltration, and interflow via gravity reservoirs linking hydrologic response units to finite-difference cells. It enhances and recharge predictions, as demonstrated in the Sagehen Creek with Nash-Sutcliffe efficiency improvements from 0.71 to 0.85 during verification periods. Unsaturated zone extensions further support these integrations by simulating vertical flow between land surface and water table. The Unsaturated-Zone Flow (UZF) package, introduced in MODFLOW-2005, uses kinematic wave equations to model infiltration, storage, and evapotranspiration in the unsaturated zone, replacing simpler recharge packages and delaying water arrival at the saturated zone to reflect real travel times. It integrates with SFR and Lake packages for coupled exchanges and is compatible with MF-OWHM for agricultural applications. Complementarily, unsaturated flow can be handled via the MT3DMS model's UNSAT option, which solves variably saturated transport equations alongside flow, though UZF provides a dedicated hydrologic focus without solute emphasis. These models benefit conjunctive use planning by explicitly resolving surface-groundwater feedbacks, such as pumping-induced stream depletion or recharge from return flows, which reduces boundary condition simplifications in traditional setups. For instance, and enable evaluation of climate and land-use impacts on water availability, supporting policies like SGMA through physically based budgets that track inefficiencies and allocations.

User Interfaces

Non-Commercial Tools

Non-commercial tools for MODFLOW encompass free, open-source graphical user interfaces (GUIs) and scripting libraries that facilitate model construction, execution, and analysis without licensing fees, promoting accessibility for researchers, educators, and public agencies. These tools emphasize pre- and post-processing capabilities, such as generation, input, result , and , while supporting core MODFLOW versions including MODFLOW 6 with its options. Developed primarily by government institutions and community contributors, they enable efficient workflows for simulations in academic and regulatory contexts. ModelMuse, released by the U.S. Geological Survey (USGS) in 2006 and actively maintained through version 5.4.0.0 as of June 2025, serves as a comprehensive for MODFLOW 6, MODFLOW-2005, and related models like MODFLOW-NWT and MODFLOW-LGR. It supports structured and design, allowing users to define spatial and temporal discretizations independently of the model grid for flexible parameterization. Key features include intuitive entry of hydraulic parameters, conditions, and periods via graphical tools, alongside integrated of heads, flows, and withdrawals in 2D and 3D views. ModelMuse integrates seamlessly with MT3DMS for solute transport simulations and tools like MODPATH for particle tracking, enabling end-to-end workflows from model setup to output analysis. FloPy, a Python-based scripting library introduced in 2016 by the USGS and the MODFLOW community, provides programmatic interfaces for generating MODFLOW input files, executing simulations, and post-processing outputs. It supports MODFLOW 6, MODFLOW-2005, MODFLOW-NWT, and unstructured variants like MODFLOW-USG, allowing users to automate model creation through object-oriented scripts for tasks such as grid construction and package configuration. Particularly valued for research applications, FloPy facilitates , simulations, and integration with Python ecosystems like and for advanced data handling and in and transport models. Other notable non-commercial tools include mfLab, an open-source wrapper developed since 2008 for scripting MODFLOW, MT3DMS, and SEAWAT models, emphasizing reproducibility in density-driven flow simulations like . iMOD, initiated by Deltares in 2006 and tailored for high-resolution applications in the , offers and Python-based pre- and post-processing for MODFLOW 6 on structured and unstructured grids, including model nesting for regional-scale coastal and urban assessments. FREEWAT, a released in 2017 under Horizon 2020 , integrates MODFLOW family codes (e.g., MODFLOW-NWT, MT3D-USGS) for geospatial modeling compliant with European water directives, supporting spatial data import and scenario analysis for . Additionally, the legacy USGS MODFLOW-, active through version 4.36 in 2019, provided basic preprocessor and postprocessor functions for MODFLOW-2005 and earlier, though it has been largely superseded by ModelMuse. These tools are distributed at no cost via official repositories and platforms like , fostering community-driven enhancements and documentation that make them suitable for educational training and non-profit research, while ensuring compatibility with evolving MODFLOW features like unstructured in version 6.

Commercial Software

Several commercial software packages provide graphical user interfaces (GUIs) and integrated suites that extend MODFLOW's capabilities, offering advanced preprocessing, , , and post-processing tools tailored for professional modeling workflows. These proprietary tools are designed to streamline model development, particularly for complex simulations involving multiple MODFLOW versions, and include features like automated grid generation, parameter estimation, and . They are widely adopted in firms and government agencies for and resource assessment projects. The Modeling System (GMS), developed by Aquaveo, supports all major MODFLOW versions from 1988 to MODFLOW 6, including variants like MODFLOW-USG and local grid refinement options such as MODFLOW-LGR. It features comprehensive 3D visualization tools, including real-time rendering with graphics, , effects, cut-away views, and capabilities for model outputs. GMS also incorporates stochastic modeling tools, such as simulations, , and geostatistical methods like T-PROGS, enabling probabilistic risk analysis for capture zones and contaminant transport. Additional enhancements include full integration with calibration software like and Parallel PEST, GIS data import/export, and building for efficient workflow automation. Pricing for GMS MODFLOW packages starts at approximately $2,955 for a local single-computer license, with premium options up to $8,445, and includes phone/email technical support, training resources, and annual updates aligned with USGS releases. Visual MODFLOW Flex, offered by Waterloo Hydrogeologic, integrates groundwater flow and contaminant transport simulations within a unified environment, supporting MODFLOW-USG for unstructured grids and MODFLOW-LGR for nested refinements. Its FlexMesh technology allows flexible grid types to handle irregular boundaries and heterogeneous aquifers, improving model accuracy and stability without excessive computational demands. The software provides robust calibration and validation tools, compatible with PEST for parameter optimization, alongside multi-scenario analysis for uncertainty assessment through comparative model runs. Visualization options include 2D/3D multi-view displays, cut-away animations, contour plotting, and seamless GIS integration for spatial data handling and reporting. It emphasizes automated meshing and reporting features to facilitate professional deliverables. The latest version, 11.0, was released in June 2025. Licenses range from CAD$3,363 to CAD$17,258 depending on configuration, with dedicated support services and regular updates to incorporate the latest USGS MODFLOW advancements. Groundwater Vistas, from Environmental Simulations, Inc., serves as a pre- and post-processor for MODFLOW models, including support for MODFLOW 6, unstructured grids via MODFLOW-USG, and the One-Water Hydrologic Model (OWHM) for integrated surface-groundwater simulations. It offers 2D and 3D graphical views for model inspection, with pilot point methods for spatially distributed parameter estimation during calibration. Key features encompass automated meshing algorithms to generate efficient grids, uncertainty analysis integrated with PEST for sensitivity testing, and automated reporting tools for generating summary statistics and visualizations. The software is particularly valued for its user-friendly interface in handling transient simulations and large datasets. The latest version is 8, as of 2025. Technical support is provided via email and phone hotlines, with annual updates ensuring compatibility with new USGS developments. Pricing varies based on module selections and requires contacting the vendor. These commercial offerings dominate professional MODFLOW applications in consulting and sectors due to their polished interfaces, reliability for regulatory , and value-added services like priority support and customization, contrasting with open-source alternatives that prioritize over advanced features.

Applications

Resource Management Case Studies

Under California's Sustainable Groundwater Management Act (SGMA) of 2014, which applies statewide including the Central Valley, MODFLOW-OWHM models have been used to support prioritization and sustainable across 127 high- and medium-priority basins statewide, which account for 96% of statewide pumping. The Central Valley Hydrologic Model version 2 (CVHM2), built on MODFLOW-OWHM, simulates historical conditions from to 2019, revealing that excessive pumping has caused approximately 24 km³ of storage loss through inelastic compaction, leading to that damages such as the Delta-Mendota . These models also quantify pumping's effects on , showing reductions in that impair environmental flows in rivers like the San Joaquin, informing Sustainability Plans (GSPs) for 21 critically ed basins, 11 of which are in the Central Valley. By integrating , , and climate data, CVHM2 aids conjunctive strategies to mitigate and restore while prioritizing basins based on severity. In the U.S. High Plains , particularly the Ogallala formation in , MODFLOW 6 coupled with MT3D has been applied to simulate from agricultural sources, guiding policies in the 2020s. The Water Use Modeling (WWUMM) uses these tools to model and dynamics in the basin, incorporating processes like , , and to track contaminant movement between aquifers and streams. evaluates policy options, such as no-fall-fertilizer applications and split nitrogen dosing, to reduce from irrigated croplands, supporting Integrated Plans (IMPs) that address degradation from intensive . These simulations highlight how optimized can lower concentrations in vulnerable zones, informing regulatory limits on use and pumping to prevent further contamination. Under the Water Framework Directive and Nitrates Directive, the FREEWAT platform, which extends MODFLOW, has been employed to assess vulnerability in agricultural areas, such as the Tudela-Cortes Nitrate Vulnerable Zone (NVZ) in Navarra, . FREEWAT integrates MODFLOW with pre-processing tools like SWAP to simulate from farms under multiple scenarios, including business-as-usual operations, full agricultural abandonment, reduced fertilization, and upgrades from flood to sprinkler systems. In this NVZ, models identify key contributors like , winter cereals, and —covering less than 10% of the area but responsible for 18% of —enabling targeted action programs to protect as required every four years. Calibration achieves high accuracy ( of 1.3% and of 0.99), demonstrating MODFLOW's role in designating and managing NVZs to curb agricultural pollution. Across these applications, MODFLOW simulations have demonstrated outcomes like reduced in overdrafted systems. Integration with projections, as in CVHM2, reveals potential declines in recharge under warmer, drier conditions, prompting policies for enhanced conjunctive use and recharge to offset future stresses. In the High Plains and cases, nitrate-focused modeling supports efficiencies that lower in optimized scenarios, fostering without full land fallowing. Challenges in these resource management efforts include data scarcity, which limits model precision in heterogeneous aquifers, often addressed through stepwise calibration workflows. Uncertainty in parameters like hydraulic conductivity is quantified using tools like PEST, ensuring robust predictions despite sparse observations, though wide margins persist in data-poor regions. Weather variability further complicates leaching estimates, requiring iterative ensemble methods to refine scenarios for policy reliability.

Research and Calibration Examples

MODFLOW's application in research often involves calibrating models to observed data such as levels, streamflows, and recharge estimates to simulate complex dynamics and predict future scenarios. Calibration typically employs inverse methods like the Parameter (PEST) software, which adjusts hydraulic parameters to minimize residuals between simulated and measured values, ensuring model reliability for research questions like climate impacts or contamination transport. These efforts prioritize conceptual models grounded in geological data, with quantitative metrics like root-mean-square error (RMSE) used sparingly to validate fits without overemphasizing numerical precision. A prominent example is the transient -flow model of the northern High Plains in , , , and , developed using MODFLOW-NWT. to over 5,000 observation wells and stream gauges from 1980 to 2013, the model incorporated variable recharge and pumping stresses to assess long-term availability under agricultural demands. The achieved a steady-state RMSE of approximately 15 meters for predevelopment conditions and transient RMSE of 5 meters, enabling simulations of effects and estimates that informed regional water policy. In international research, MODFLOW has supported calibration studies in semi-arid basins, such as the Mahesh River basin in . A steady-state model was calibrated using observed water levels from 25 wells and river stage data, adjusting (ranging 10-50 m/day) and specific yield to match heads within 2 meters RMSE. This effort highlighted MODFLOW's utility in data-scarce regions for evaluating overexploitation risks and recharge from inflows, contributing to management strategies in similar tropical aquifers. Recent advancements in research integrate for efficient MODFLOW calibration, as demonstrated in a study of a hypothetical alluvial . and surrogate models were trained on 20 MODFLOW runs to predict heads from parameters like and recharge, then used to guide optimization. Compared to traditional pilot-point methods, this approach reduced computational time by over 90% while achieving comparable RMSE (around 1 meter), showcasing hybrid techniques for large-scale research on uncertain hydrogeologic systems.

References

  1. [1]
    MODFLOW and Related Programs | U.S. Geological Survey
    MODFLOW is the USGS's modular hydrologic model. MODFLOW is considered an international standard for simulating and predicting groundwater conditions.
  2. [2]
    MODFLOW 6: USGS Modular Hydrologic Model
    MODFLOW 6 is an object-oriented program and framework developed to provide a platform for supporting multiple models and multiple types of models within the ...Modflow-2005 · MODFLOW 6 Downloads · ModelMuse
  3. [3]
    Software - MODFLOW | U.S. Geological Survey - USGS.gov
    MODFLOW is the USGS's modular hydrologic model. MODFLOW is considered an international standard for simulating and predicting groundwater conditions and ...
  4. [4]
    Summary of MODFLOW - Water Resources Mission Area - USGS.gov
    MODFLOW is a three-dimensional finite-difference ground-water flow model. It has a modular structure that allows it to be easily modified to adapt the code for ...
  5. [5]
    MODFLOW Ground-Water Model - User Guide to the Subsidence ...
    The program simulates ground-water storage changes and compaction in discontinuous interbeds or in extensive confining units, accounting for stress-dependent ...
  6. [6]
    the U.S. Geological Survey modular ground-water model
    This report presents MODFLOW-2005, which is a new version of the finite-difference ground-water model commonly called MODFLOW.Missing: key | Show results with:key
  7. [7]
    [PDF] MODFLOW-2005, The US Geological Survey Modular Ground ...
    MODFLOW-2005 is an enhanced US Geological Survey modular ground-water model. The model program can be obtained online.
  8. [8]
    A New Groundwater Energy Transport Model for the MODFLOW ...
    Feb 14, 2025 · GWE is integrated within MODFLOW 6 and is accessible through the FloPy Python package and the MODFLOW 6 application programming interface (API).
  9. [9]
    [PDF] Documentation for the MODFLOW 6 Groundwater Flow Model
    The report describes the Groundwater Flow Model for the U.S. Geological Survey (USGS) modular hydrologic simula tion program called MODFLOW 6.
  10. [10]
  11. [11]
    A new groundwater energy transport model for the MODFLOW ...
    May 4, 2025 · The new GWE model simulates heat transport in groundwater, supporting structured/unstructured grids, and is integrated within MODFLOW 6.Missing: plans | Show results with:plans
  12. [12]
    [PDF] a modular three-dimensional finite-difference ground-water flow model
    This document describes a modular three-dimensional finite-difference ground-water flow model, including its derivation and program design.
  13. [13]
    SEAWAT: A Computer Program for Simulation of Three-Dimensional ...
    SEAWAT is a generic MODFLOW/MT3DMS-based computer program designed to simulate three-dimensional variable-density groundwater flow coupled with multi-species ...
  14. [14]
    A modular three-dimensional finite-difference ground-water flow model
    This report presents a finite-difference model and its associated modular computer program. The model simulates flow in three dimensions.Missing: PDF | Show results with:PDF
  15. [15]
    [PDF] MODFLOW–LGR—Documentation of ghost node local grid ...
    LGR2 is designed to allow users to create MODFLOW simulations using one or more refined grids that are embedded within a coarser grid. This report also ...
  16. [16]
    [PDF] Methods and guidelines for effective model calibration
    MODFLOW-2000, the U.S. Geological Survey modular ground-water model, User's guide to the Observation, Sensitivity, and Parameter-Estimation Process and three.
  17. [17]
  18. [18]
    [PDF] Status of MODFLOW Versions and MODFLOW-Related Programs ...
    MODFLOW is the U.S. Geological Survey‟s three-dimensional finite-difference groundwater model first published in 1984. Although originally conceived solely ...
  19. [19]
    [PDF] MODFLOW GUI v. 1 - Water Resources Mission Area
    This report describes a GUI developed for MODFLOW-96, the latest revision of the U.S.. Geological Survey (USGS) modular, three-dimensional, finite-difference ...
  20. [20]
    Mf2k.txt - Water Resources Mission Area - USGS.gov
    MODFLOW-2000 Version 1.0 2000/07/20 - Enhanced modular structure that facilitates the addition of broader capabilities such as parameter estimation and solute ...Missing: features | Show results with:features
  21. [21]
    [PDF] LMG2: Accelerating the SAMG Multigrid-Solver in MODFLOW
    This report documents the new Link-AMG (LMG2) interface that links the USGS-MODFLOW-2000,2005 groundwater flow model to an Algebraic Multigrid Solver, SAMG.
  22. [22]
    USGS TM 6-A16
    Dec 2, 2016 · This report presents MODFLOW-2005, which is a new version of the finite-difference ground-water model commonly called MODFLOW.Missing: releases | Show results with:releases
  23. [23]
    release.txt
    This file describes changes introduced into MODFLOW-2005 with each official release; these changes may substantially affect users. In this file, packages are ...
  24. [24]
    OBS - Input File For All Observations
    This short input file contains information applicable to all observations, and needs to be included in the name file using file type OBS.
  25. [25]
    Online Guide to MODFLOW-2005 - Water Resources Mission Area
    To enable the parallel-processing capabilities of MODFLOW-2000, an implementation of MPI must first be installed on your computer(s). MPI software is not ...
  26. [26]
    Documentation for the MODFLOW 6 Groundwater Flow Model
    Aug 10, 2017 · This report documents the Groundwater Flow (GWF) Model for a new version of MODFLOW called MODFLOW 6.
  27. [27]
    [PDF] MODFLOW 6 Release Notes - Water Resources Mission Area
    Dec 19, 2024 · This document describes MODFLOW 6 Version mf6.6.0. This distribution is packaged for personal com- puters using modern versions of the ...
  28. [28]
    MODFLOW-NWT, A Newton Formulation for MODFLOW-2005
    May 11, 2011 · MODFLOW-NWT is a standalone program that is intended for solving problems involving drying and rewetting nonlinearities of the unconfined groundwater-flow ...
  29. [29]
    An unstructured grid version of MODFLOW for simulating ...
    A new version of MODFLOW, called MODFLOW–USG (for UnStructured Grid), was developed to support a wide variety of structured and unstructured grid types.
  30. [30]
    MODFLOW-USG - GSI Environmental Inc.
    MODFLOW-USG solves the groundwater flow equation using unstructured grids. Many advanced packages are included to solve practical water resource problems.
  31. [31]
    Documentation for the MODFLOW 6 framework
    Aug 10, 2017 · The report describes a new MODFLOW framework called MODFLOW 6 that is designed to support multiple models and multiple types of models.
  32. [32]
    None
    Below is a merged summary of the original MODFLOW core packages based on the 1988 documentation (model developed in 1984 by McDonald and Harbaugh). To retain all information in a dense and organized manner, I’ve used a combination of narrative text and tables in CSV format where appropriate. The summary includes all details from the provided segments, avoiding redundancy while ensuring completeness.
  33. [33]
  34. [34]
    PCG - Preconditioned Conjugate-Gradient Package
    The Preconditioned Conjugate-Gradient package is used to solve the finite difference equations in each step of a MODFLOW stress period. Documentation. •Harbaugh ...Missing: IMS | Show results with:IMS
  35. [35]
    user guide to the Link-AMG (LMG) package for solving matrix ...
    MODFLOW-2000, the U. S. Geological Survey modular ground-water model; user guide to the Link-AMG (LMG) package for solving matrix equations using an algebraic ...Missing: SAMG | Show results with:SAMG
  36. [36]
    MODFLOW-NWT, a Newton formulation for MODFLOW-2005
    MODFLOW-NWT is a standalone program that is intended for solving problems involving drying and rewetting nonlinearities of the unconfined groundwater-flow ...
  37. [37]
    OC - Output Control Option
    Online Guide to MODFLOW-2005 ; Purpose. The Output Control Option is used to specify which head, drawdown, or budget data should be printed or saved.Missing: OBS STO
  38. [38]
  39. [39]
    MT3D-USGS: Groundwater Solute Transport Simulator for MODFLOW
    MT3D-USGS includes new transport modeling capabilities to accommodate flow terms calculated by MODFLOW packages that were previously unsupported by MT3DMS ...
  40. [40]
    [PDF] MT3DMS - DTIC
    Dec 1, 1999 · Zheng, Chunmiao, and Wang, P. Patrick. (1999). "MT3DMS: A modular three-dimensional multispecies transport model for simulation of advection ...
  41. [41]
    Take a look at the update to USG-Transport, now available from GSI!
    Our new USG-Transport version 2.3.0 includes changes that make the code more convenient to use with available compilers and FloPy tools.
  42. [42]
    [PDF] MODFLOW/MT3DMS–Based Simulation of Variable-Density Ground ...
    The purpose of this paper is to present a concise description of the underlying methodology for coupling a constant-density ground water flow code with a solute.
  43. [43]
    [PDF] Documentation for the MODFLOW 6 Groundwater Transport Model
    This document is documentation for the MODFLOW 6 Groundwater Transport (GWT) Model, a part of the USGS modular hydrologic simulation program.
  44. [44]
    MODFLOW One-Water Hydrologic Flow Model (MF-OWHM)
    The MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) is an integrated hydrologic model designed for the analysis of conjunctive-use management.
  45. [45]
    [PDF] One-Water Hydrologic Flow Model (MODFLOW-OWHM)
    This report presents a computer program for simulating the conjunctive movement and use of surface water and groundwater in the U.S. Geological Survey (USGS) ...
  46. [46]
    [PDF] Appendix 6. Farm Process Version 4 (FMP)
    The Farm Process (FMP) underwent substantial changes with this release of MF-OWHM2. Most of the base Fortran code was modernized to FORTRAN 2003 and 2008 to ...
  47. [47]
    SWAT+MODFLOW: a new hydrologic model for simulating surface ...
    Sep 5, 2025 · This study presents a new hydrologic model to simulate surface and subsurface in a physically based spatially distributed manner by linking the ...
  48. [48]
    [PDF] GSFLOW—Coupled Ground-Water and Surface-Water Flow
    ... MODFLOW packages. Both models have a long history of support and development. Soil water. Unsaturated zone. Precipitation. Ground-water flow. Evapotranspiration.Missing: core | Show results with:core
  49. [49]
    UZF - Unsaturated-Zone Flow Package
    The UZF package simulates vertical water flow through the unsaturated zone to the saturated zone, acting as both a groundwater flow and boundary condition ...
  50. [50]
    ModelMuse: A Graphical User Interface for Groundwater Models
    ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW 6, MODFLOW–2005, MODFLOW-LGR, MODFLOW-LGR2, MODFLOW-NWT, ...
  51. [51]
    ModelMuse Version 5.0: Software Release - USGS.gov
    ModelMuse allows definition of many different sorts of observations from a variety of model output files. For MODFLOW 6 and SUTRA models, new options were added ...Missing: documentation | Show results with:documentation
  52. [52]
    ModelMuse—A Graphical User Interface for MODFLOW-2005 and ...
    ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW–2005 and PHAST. This software package provides a GUI for ...Missing: documentation | Show results with:documentation
  53. [53]
    FloPy: Python Package for Creating, Running, and Post-Processing ...
    FloPy is a Python package for creating, running, and post-processing MODFLOW-based models. FloPy includes support for MODFLOW 6, MODFLOW-2000, MODFLOW-2005, ...
  54. [54]
    modflowpy/flopy: A Python package to create, run, and post ... - GitHub
    FloPy includes support for MODFLOW 6, MODFLOW-2005, MODFLOW-NWT, MODFLOW-USG, and MODFLOW-2000. Other supported MODFLOW-based models include MODPATH.
  55. [55]
    Olsthoorn/mfLab - GitHub
    mfLab ("Modflow Laboratory") is an open-source scripting envioronment in Matlab to set up, run and analyze groundwater flow and transport models.
  56. [56]
    iMOD groundwater modelling | Deltares
    iMOD is an open-source software for creating large, high-resolution groundwater models using MODFLOW, supporting structured and unstructured grids.
  57. [57]
    FREEWAT — QGIS Python Plugins Repository
    FREEWAT is an open source and public domain GIS integrated modelling environment for the simulation of water (surface- and ground-water) quantity and quality.
  58. [58]
    MODFLOW-GUI Version 4 | U.S. Geological Survey - USGS.gov
    MODFLOW-GUI is a preprocessor and postprocessor graphical-user interface for preparing MODFLOW-96, MODFLOW-2000, MODFLOW-2005, MOC3D, MODPATH, and ZONEBDGT ...Missing: development | Show results with:development<|control11|><|separator|>
  59. [59]
    Home - iMOD - oss.deltares.nl
    iMOD is Open Source Software and facilitates groundwater modelling for coastal, rural and urban applications. It is developed by Deltares.
  60. [60]
    MODFLOW: an insight into thirty years development of a standard ...
    ... MODFLOW, is regarded by many as the most widely used by government agencies and consultancy firms. The model was first developed in 1984 and since then many ...
  61. [61]
    MODFLOW - Water Modeling Software
    ### Summary of GMS Support for MODFLOW
  62. [62]
  63. [63]
    GMS MODFLOW Package - Groundwater Modeling - Aquaveo
    30-day returnsThe GMS MODFLOW package offers groundwater modeling tools including geometry construction, mapping, data handling, and visualization capabilities.
  64. [64]
    Visual MODFLOW Flex - Waterloo Hydrogeologic
    Visual MODFLOW Flex brings together industry-standard codes for groundwater flow and contaminant transport, essential analysis and calibration tools.
  65. [65]
    Visual MODFLOW Flex - Waterloo Hydrogeologic
    In stockConcepts and applications of groundwater modeling using the Visual MODFLOW Flex interface. Add for CAD$273.41 Original price was: CAD$273.41. CAD$ ...
  66. [66]
    Groundwater Vistas
    No information is available for this page. · Learn why
  67. [67]
    [DOC] Metropolitan Council uses Groundwater Vistas (Version 5
    In June 2009, the cost of Groundwater Vistas 5 ranged from approximately $1,200.00 to $2,300.00 depending on the various model options chosen.
  68. [68]
  69. [69]
    [PDF] WWUMM Water Quality Modeling Integration and Modeling Update ...
    It reveals how nitrates move from aquifers to streams like the North Platte River or Pumpkin Creek, and vice versa, offering a holistic view of contamination ...
  70. [70]
    [PDF] Implementing Nitrates Directive - FREEWAT
    Sep 22, 2017 · The EU Nitrates Directive (ND). The EU Nitrates Directive (1991) aims to prevent nitrates from agricultural sources polluting ground and ...
  71. [71]
    Evaluation of Multiple Groundwater Management Targets by ...
    Apr 26, 2025 · A 20% increase in groundwater pumping leads to an average rise of 151%, 224%, and 147% deterioration in frequency, duration, and magnitude.2.3 Hydrological Model And... · 3 Case Study · 4.3 Key Subbasins For...<|control11|><|separator|>
  72. [72]
    Data scarce modelling the impact of present and future groundwater ...
    We present a workflow approach to set up a large-scale multi-aquifer model, overcoming data shortage by stepwise calibration and integrating hydrological and ...
  73. [73]
    [PDF] A Guide to Using PEST for Groundwater-Model Calibration
    If parameters vary in sensitivity within that range, assign initial values to parameters in the more sensitive area of their reasonable range. When regularized ...<|control11|><|separator|>
  74. [74]
    Groundwater-flow model of the northern High Plains aquifer in ...
    Dec 13, 2016 · This report describes a groundwater-flow model for the northern High Plains aquifer, using MODFLOW-NWT, to assess groundwater availability in ...
  75. [75]
    Machine Learning-Driven Calibration of MODFLOW Models - MDPI
    The trained models are then used to calibrate the model, and the results are compared with the classical model calibration using pilot points from a previous ...