Application of mathematical modelling methods in the protection of groundwater environment

Application of mathematical modelling methods…
33 
Models of transport were created to enable simulation of solutes movement 
through variably saturated porous medium. Typical applications of these models 
involve studies on: migration of pollutants from dispersed and point sources, the 
effect of fertilisers and pesticides on water quality, environmental effects of surface 
and underground reservoirs.
Models of both flow conditions and pollutant transport in groundwater system 
may refer to all or to some elements by describing processes that take place in the 
recharge zone, in resource zone or in both. Description of modelled processes 
might be realised in one, two, quasi three or three dimensional space (G
UTOWSKA
- 
-S
IWIEC
and 
Ś
LESICKI
, 2002).
Mathematical modelling of groundwater flow and transport and of pollutant 
behaviour in grounds and ground waters might be helpful in determining medium 
parameters, in studies on water dynamics, in resource analyses, in explaining and 
predicting the processes of pollutant migrations.
Methods of modelling are diverse: from simple analytical solutions based on 
simplified schemes and equations of flow and transport to complex numerical 
models simulating these processes in three dimensional heterogenic and anisotropic 
environments.
Two schemes differing in the way of description are usually used in advective- 
-dispersion numerical models of transport. It is assumed that:
−
migration of pollutants is a resultant of combined effect of two vector fields (ve-
locity of advective stream of pollutant mass and dispersion velocity of pollutant 
stream) and numerical solution of the problem is obtained with the method of fi-
nite differences or finite elements,
−
migration of pollutants is a sum of movements of particular particles resulting 
from their movement along the stream lines and moving away from this line due 
to dispersion. Numerical solution is obtained with the method of characteristics 
or modified method of characteristics.
Construction of a model properly reflecting modelled phenomena and numeri-
cally effective is usually a complex task. Complexity is mainly determined by: the 
size of modelled area and its geological structure and by the type and composition 
of polluting substances. Irrespective of local determinants one may formulate gen-
eral algorithm of actions associated with the model construction and performed 
calculations. Properly carried model studies should be composed of the following 
stages.
•
Preparatory stage (determining the study aim and collecting the input data). The 
aim of undertaken model studies is determined by the adoption of appropriate 
calculation scheme decisive for final selection of the calculation programme. All 
available data describing modelled object and its surrounding should be col-
lected at this stage.

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34 
M. 
Ś
LESICKI
•
Selection of mathematical model. To accomplish the aims formulated in prepara-
tory stage one may select one of the existing models or prepare the author’s pro-
gramme. Selected model should undergo preliminary verification consisting in 
comparison of numerical solution generated by the model with analytical solu-
tions or with other numerical solutions.
•
Construction of a model. In this stage the scope of modelling is being estimated 
through: division of modelled area into elements of calculation grid, selection of 
calculation time steps, establishment of borders, initial and edge conditions and 
preliminary selection of parameter values. 
•
Model calibration. Calibration is aimed at estimating to what degree results of 
calculations based on selected model agree with field measurements. Calibration 
is usually made with the method of consecutive approximations for various sets 
of parameters.
•
Analysis of model sensitivity. Calibrated model bears a burden of error due to 
indeterminacy and of errors in the reproduction of spatial and temporal parame-
ter distribution in studied area and inaccuracy of edge conditions. Analysis of 
model sensitivity is carried out to establish the effect of these errors on solution 
with the use of special methods and algorithms.
•
Model verification. The model is verified to increase its reliability through cal-
culations for some sets of parameter values in order to choose one, optimum set 
characterising the modelled medium.
•
Prognosis. It gives answer to system behaviour in predicted conditions and con-
sists in making calculations for given values of time limits.
•
Presentation of simulation results. Models of ground waters usually generate 
many data whose interpretation may be difficult. Clear presentation, preferably 
in a graphical form, is important for illustrating and understanding the effects of 
modelling.
•
Another analysis after some time. Re-analysing carried out some time after the 
study has been accomplished is recommended only when there is a possibility 
and need of verification of adopted prognostic assumptions. In this case new 
field data are collected to check the correctness of the prognosis. Performed 
analysis enables to find new system behaviours which may lead to improvement 
of the concept or to changes in model parameters.
Results of calculations and prognosis obtained with model studies are usually 
used as a basis for designing decisions or to formulate the strategy of protective 
actions. Presented algorithm of creation and initiation of the model guarantees, 
with sufficient probability, that obtained results are possibly the best reflection of 
behaviours of studied area.
Complex character of problems associated with groundwater flow and numer-
ous physical and chemical processes involved make the creation of a universal 
model that would describe all phenomena and simulate their temporal variability 

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