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Numerical Modeling of Groundwater Flow and Flow of Clean


Groundwater is a fundamental part of the hydrological cycle, whose development, efficient management and good understanding, guarantee the permanence of the water resource over time.

Today, industrial, agricultural and poor environmental practice have caused that many aquifers and aquitards are being impacted anthropically by organic and inorganic compounds whose immediate result, leads to a progressive degradation of groundwater and environment.

Characterization and management of groundwater resources, involves a comprehensive set of tools analysis to determine the characteristics of an aquifer (type and geometry, piezometry, quantification of hydraulic parameters and transport, water balance, degree of quality and exploitation, etc.). In the last decade, an essential part of all hydro geological study, must be supported by a numerical modeling of flow of underground water and transport of pollutants, whose applications are manifold, but to name but a few, a model serves to:

• Estimate the performance of extraction wells.
• Analyze interference in a field of wells.
• Design drainage systems in mines, and exhaustion of the groundwater level in excavations.
• Identification of areas of capture.
• Outline perimeter protection of aquifers.
• Simulate the impact of pollutants in the saturated zone and its relationship to the unsaturated zone.
• Simulate the transient state of a pollutant plume in dissolved phase and its relationship with the natural environment and other pollutants.
• Evaluate remediation of aquifer systems.
• Modeling the management of underground water resources.

What is a model?

A model is defined as the total or partial representation of a natural system. There are different types of models; specifically the numeric are those, where the representation of an aquifer (or part of it), is carried out via differential equations (general equation of flow, general transport and Darcy law equation), which are solved by numerical methods (approximation) for each element of the domain.

CAM uses a method of solution called finite difference, through which the domain is divided into rectangles (model in 2-D), or parallelepipeds (3-D model), and aims to solve the differential equations, obtaining hydraulic loading ("h" in feet or meters above sea level) and the final concentration (Cf in mg/L) to the center of each cell of the mesh, depending on the time.

Therefore applies the Visual MODFLOW software, developed by Waterloo Hydro geologic Inc. (WHI), which is widely accepted by national agencies (CNA, IMTA) and international (USGS, EPA).

Methodology
For the implementation of a numerical model, CAM applies the following scheme of analysis:

1.- Approach of the problem.
2.- Data collection.
3.- Construction of the Conceptual model.
4. Design of the mesh of the model (discretization).
5. Allocation of hydraulic parameters and transport.
6. Calibration and validation.
7. Sensitivity analysis.
8. Predictive simulations.

 

Simulation of contamination plume migration vs. time.
CAM has developed various numerical models of flow and transport for the private market, whose main focus lies in predict and simulate the behavior of the pollution of an aquifer dissolved in transient phase. To do so, reproduces the current conditions of flow and concentration of the (s) solute (s), and after the calibration process, it is feasible to carry out a simulation to assess model:

(A) Potential migration routes of the pollutant (s).
(B)Time of transit of the contaminant to a receiving body.
(C) Curves of arrival "time vs. concentration" for different external receivers.
(D) Design and optimization of remediation system.
(E) Simulation of biodegradation (aerobic or anaerobic) and potential natural attenuation of the aquifer.

 

Advantages
One of the great advantages of numerical modeling is that different scenarios of prediction, changing the conditions affecting the system, such as recharging and withdrawals can be assessed.

In addition, multiple stages of remediation may pose to optimize the system for the restoration, and minimize the number of elements to use (injection wells, wells of extraction, trenches, etc.), maximizing performance and obtaining thereby a high benefit allows with a low investment, as well as having very valuable elements in the decision-making process during the implementation of the project hydro geological and geo environmental management

GI-GO (Garbage In-Garbage Out) principle.
The main limitation in a numerical model is that requires a large number of data, so it is necessary to have an extensive knowledge of the site. Therefore, it is necessary to develop a conceptual model prior, consistent with the reality, which is supported with data from piezometric levels, concentrations of the solute, determinations of hydraulic parameters by means of trials slug and/or pumping, physical parameters and mechanics of soil, hydro-geochemistry, chemical soil parameters and water balance. It is very important to stress that a numerical model is not a panacea and if you don't have a degree of important knowledge of the site, can fall into the trap set up by the GI-GO principle: Garbage In - Garbage Out, i.e. introduction of inconsistent data, return results inconsistent.

Modeling of LNAPL's
While the MODFLOW code is a software with multiple applications, it has some limitations, it can not simulate all aspects of an aquifer system and its use (of advanced character) narrows on the basis of the scope of each project in particular. Porous aquifers have been impacted by oil spills less dense than water, is very common aquifer see contaminated by a boom in free phase, known as LNAPL.

Less dense than water compounds, not miscible in it (LNAPL's for its acronym in English Light Non-Aqueous Phase Liquids), tend to form a layer that sits at the top of the phreatic surface, flowing at one speed lower than the actual speed of flow. The LNAPL's mean a great challenge in the environmental field, because they represent the fraction of the increased risk in a polluted aquifer

For evaluating and managing sites contaminated by LNAPL's, CAM applies a model developed by the American Petroleum Institute (API) based on the equations of Van Genuchten, Richards and Bill Darcy, called LNAPL's Calculation Tools, which complemented the characterization of free stages, determining the actual speed of the LNAPL, volume and degree of saturation of the hydrocarbon in soil final concentration at distances and specific receptors of the dissolved phase, the change in the composition of the source vs time zone as well as, the recovery rate of the hydrocarbons taking into account in various account technical remediation, mainly by trenches, wells with skimmers and Dual Phase Extraction systems.

Application of EPA models
Depending on the scope and complexity of the type of project, CAM evaluates the implementation of various models that do not require an advanced modeling detail, however, required the simulation of the toxic compound to determine arrival times and rallies expected for external potential receptors at different intervals of time. This CAM applies two models produced by the Environmental Protection Agency (EPA) with different applications:

(1) Optimal Well announcer (OWL), developed by the National Risk Management Research Laboratory, which is a program that allows to predict the mobility of the pollutant plume transient, and also allows you to analyze and optimize the location of a network of wells for monitoring, to take full advantage of the information obtained at each well, from the direction of flow, parameters of transport and movement of the boom phase dissolved.
 
(2) Hydrocarbon Spill Screening Model (HSSM), developed by the Environmental Research Laboratory, which simulates the spillage of hydrocarbons (HC) and provides a set of useful graphics that quantify the volume, profiles of saturation of the soil in depth, the HC gap and curves of the HC arrival flows through data entry modules (hydrology, hydrogeology vadose zone, features of the hydrocarbon) vs. time, for up to 6 recipient bodies in real distance.
 
 
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