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European Journal of Scientific Research - EuroJournals

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873 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Materials and methods<br />

ACP<br />

The analysis <strong>of</strong> principal components (ACP) is a multivariable method for statistical analysis. It could<br />

be useful for quantify and order with hierarchical basis the mechanisms responsible <strong>of</strong> water quality. In<br />

this work, it is calculated starting from a matrix <strong>of</strong> correlation. The variables are then centred and<br />

reduced, making possible the solution <strong>of</strong> unit changes restrictions. Thus, a parameter such as the<br />

electric conductivity expressed in dS m -1 will be treated like a concentration value expressed in M L -1 .<br />

The ACP makes possible to find the factorial axes with linear combinations <strong>of</strong> parameters,<br />

because all <strong>of</strong> them are not playing the same roll. In hydrochemistry, the experience shows that a<br />

factorial axis usually represents a process or a source <strong>of</strong> variability.<br />

It is important to say that the factorial axes are orthogonal, it means independent; they represent<br />

mechanisms between them. For the ACP, the processes do not interfere between them. It makes<br />

possible to group different chemical parameters by their behaviour, it means that it makes a behaviour<br />

typology for the chemical parameters observed. The ACP let also group the water samples with similar<br />

characteristics within all observed parameters.<br />

Monte Carlo Method<br />

It is a simulation method based on the distribution laws <strong>of</strong> all the parameters. This operation is repeated<br />

hundreds or thousands <strong>of</strong> times, making possible the calculation <strong>of</strong> an average value and its standard<br />

deviation.<br />

Calculations <strong>of</strong> speciation: modeling thermodynamic <strong>of</strong> chemical balances<br />

When water contacts soil minerals, a great number <strong>of</strong> chemical reactions take place into the aqueous<br />

phase and within solution and minerals. According to the case, the ions content in the solution<br />

increases or decrease like a "source" or a "sink" in a forecasting model <strong>of</strong> the solution transfers.<br />

Geochemical models were developed in this work with the purpose <strong>of</strong> present briefly:<br />

Modelling thermodynamic balances<br />

It consists <strong>of</strong> studying three tools <strong>of</strong> current use in geochemistry: the interactions <strong>of</strong> water - rocks by<br />

thermodynamic balances. The majority <strong>of</strong> natural solutions contain a great number <strong>of</strong> chemical species<br />

distributed in different phases (liquid, solid and gaseous) ready to interact between them. That is why<br />

the study <strong>of</strong> balances between solutions and minerals leads to the estimation <strong>of</strong> activities <strong>of</strong> dissolved<br />

chemical species from the solute concentrations. Knowing the activities, it is possible to calculate the<br />

saturation state <strong>of</strong> the solutions related to minerals present in the environment by its solubility product<br />

(generally reported on thermodynamic data bases).<br />

Analyze <strong>of</strong> concentration diagrams<br />

The second approach is the study <strong>of</strong> solute concentration evolution in aqueous solutions while<br />

solutions are concentrated (Al-Droubi, 1976; Gac, 1980; Fritz, 1981, Vallès, 1987, Ribolzi and Al,<br />

1993). This method is based on the examination <strong>of</strong> concentration diagrams and is adapted to<br />

groundwater concentration by evaporation (Mediterranean and, arid climates). The development <strong>of</strong><br />

these diagrams requires data <strong>of</strong> measurement (Al-Droubi, 1976; Gac, 1980; Vallès, 1987; Barbiéro,<br />

1994) or the calculation <strong>of</strong> the concentration factor in solutions by a reference tracer (Gac, 1980;<br />

Gonzalez-Barrios, 1992; Ribolzi et al, 1993; Barbiéro, 1994).

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