Groundwater Modeling

A simple groundwater model for a small site can be completed in 4-8 weeks. Regional aquifer models with detailed calibration typically take 3-6 months. Complex models involving contaminant transport or variable-density flow may require 6-12 months. Timeline depends on data availability, model complexity, and calibration requirements.

MODFLOW uses a finite-difference grid (rectangular cells) while FEFLOW uses finite elements (triangular/tetrahedral mesh). FEFLOW is better for complex geology, irregular boundaries, and problems requiring high resolution in specific areas. MODFLOW is often preferred for regional models and regulatory submissions. We recommend the appropriate tool based on your project needs.

Groundwater modeling requires geological/hydrogeological data (stratigraphy, aquifer properties), water level measurements, pumping records, recharge estimates, and boundary conditions. Pumping tests provide crucial aquifer parameters. We can work with existing data and recommend targeted field investigations to fill data gaps cost-effectively.

Yes, groundwater models can simulate contaminant transport when coupled with transport codes like MT3DMS or FEFLOW's transport module. These models predict how contaminants move through aquifers, helping design monitoring networks, evaluate remediation options, and assess risks to water supplies. Accurate transport modeling requires good characterization of aquifer properties.

Model calibration adjusts aquifer parameters (hydraulic conductivity, storage, recharge) until simulated water levels and flows match observed measurements. We use automated calibration tools like PEST alongside manual adjustments, targeting both steady-state and transient conditions. A well-calibrated model provides confidence in predictions for planning and design.

Safe yield is the amount of groundwater that can be sustainably extracted without causing unacceptable impacts like water level decline, reduced baseflow, or land subsidence. We determine safe yield through long-term model simulations that balance recharge with extraction while monitoring impacts on dependent ecosystems and existing users.

Wellfield design involves simulating different well configurations (number, spacing, depths, pumping rates) to optimize yield while minimizing interference between wells and impacts on neighboring users. Our models evaluate drawdown, capture zones, and long-term sustainability to recommend the most efficient wellfield layout.

A capture zone is the area from which groundwater flows to a pumping well. Capture zone analysis uses particle tracking in groundwater models to delineate wellhead protection areas and assess contamination risks. This is essential for protecting drinking water supplies and designing monitoring networks around production wells.

Groundwater and surface water are interconnected - rivers may gain water from aquifers (gaining streams) or lose water to aquifers (losing streams) depending on relative water levels. Our models simulate this interaction to assess impacts of pumping on streamflow, plan conjunctive use, and protect environmental flows.

It works on the data around the model, not on the flow simulation. Observation well hydrographs arrive with gaps, spikes and step changes caused by loggers failing, flooding or being reset, and a learned model reconstructs the missing stretches from neighbouring wells and rainfall so that calibration is matched against a complete record rather than a straight line drawn through a gap. The same models flag readings that are instrument artefacts rather than real aquifer response, which is the sort of thing that otherwise quietly distorts a calibrated hydraulic conductivity field. Spatial interpolation between monitored wells produces the level surfaces used for regional assessment, which is what our free GWPilot tool does on the public CGWB record. On prediction the division is strict. Forecasting the seasonal behaviour of a well that is already monitored suits a learned model well. Predicting drawdown from a wellfield that has not been drilled does not, because no historical record contains it, and that is precisely what MODFLOW is for.

GMS you can buy through us, because Smart Bhujal is an authorised reseller of Aquaveo's groundwater modeling software in India. On which package to use, GMS, the Groundwater Modeling System, is the usual answer when you want a single environment for building the conceptual model, running MODFLOW and handling contaminant transport, which is the work the Aquaveo partnership is built around. FEFLOW suits finite element problems where the geometry or the physics does not sit comfortably on a rectangular grid. If your job is one regional water balance, MODFLOW on its own may be all you need, and we will say so rather than sell you more. To be plain about the relationship: Aquaveo develops GMS and Smart Bhujal is their authorised reseller in India, not their developer. We do not publish prices or licence options on this page, so tell us how many users and which modules you are considering and we will take it from there.

Both routes are open, and the choice mostly comes down to who runs the model after the first project ends. If flow and contaminant transport modelling is going to be a repeating part of your work, licensing the software is the sensible route, and GMS can be purchased through us because Smart Bhujal is an authorised reseller of Aquaveo's groundwater modeling software in India. If you need one plume assessment for a regulator or a site closure, a study is usually faster and cheaper, because most of the effort goes into the conceptual model, the site data and the calibration rather than into the software licence. We do that study work in MODFLOW, FEFLOW and GMS. What we will not do is sell a licence to somebody who has one model to build and no intention of building another.

No, and the difference matters. GWPilot is our own web tool, on this site at /gwpilot, and it needs a sign-in. It pulls the public Central Ground Water Board groundwater level record for a state and district and turns it into level surfaces and seasonal outlooks for wells that are already monitored, which is useful for regional assessment and for screening an area before anyone commits to a study. It does not solve the groundwater flow equations. So it cannot tell you the drawdown from a wellfield that has not been drilled, or where a contaminant plume will travel, because neither of those appears anywhere in the historical record it learns from. MODFLOW, FEFLOW and GMS exist for exactly those questions.