DOI : 10.17577/IJERTV14IS080130
- Open Access
- Authors : Dr.Ramesh T, Dr.Rekha J, Dr. Shobhankumar D M, Dr. Rangaraju B V
- Paper ID : IJERTV14IS080130
- Volume & Issue : Volume 14, Issue 08 (August 2025)
- Published (First Online): 05-09-2025
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License:
This work is licensed under a Creative Commons Attribution 4.0 International License
Mathematical Analysis of Reactive and Non-Reactive Flow and Transport of Contaminants in Saturated Zone of Aquifers
Dr.Ramesh T Department of Mathematics Cambridge institute of technology K R Puram, Bengaluru, India
Dr. Shobhankumar D M
Department of Mathematics Maharani Science College for women
Bengaluru, India
Dr.Rekha J
Department of Mathematics Cambridge institute of technology
K R Puram, Bengaluru, India
Dr. Rangaraju B V
Department of Mathematics East Point College of Engineering
Bengaluru, India
ABSTRACT
In reactive and non-reactive aquifers with geo-hydrological favourable situations consisting of adequately permeable state between the soil surface & water table, it is every so often competitively priced to preciously recharge by means of the approach of basin permeation. A primary benefit of this approach is that a number of the dissolved and suspended solids are certainly eliminated for the duration of percolation by absorption and infiltration. The main equations of flow in porous media and transport within the saturated region in reactive and non-reactive aquifers are exposed to the non-linear moving boundary condition.
Even though the adaptability of arithmetical solutions, there are
offered is decided by using relating them with existing experimental information and other models.
MATHEMATICAL EQUATIONS A.FLOW E QUATION
The continuity state in groundwater flow is given by
few problems associated with them, which include, numerical dispersion and diffusion at sharp fronts. In instances where geo- hydrological records are not appropriately sufficient known to
qi 0
xi
i 1, 2, 3
(1)
defend the use of heterogeneous properties, the problems can be studied readily through suitable logical standards.
Where qi is average velocity in ith direction and xi is Cartesian coordinate. In the work that trails, longitudinal coordinates in selected portions of the derivation are specified in the form, where x, y, z are used and taken as corresponding to x1, x2 & x3, respectively, with x3 – and z-directions vertically upwards.
By Darcy's law for anisotropic permeable medium, Equation (1) is of the form:
K h 0
(2)
xi xi
Figure 1 – Physical Configuration of Reactive Flow
Where K is the hydraulic conductivity and h is the piezo metric head.
The Pleasing benefit of symmetry, only half of the Figure (1) x 0 need to be involved in analysis and
then, from Figure (1) and Equation (2) is exposed to the following circumstances:
Initial conditions:
INTRODUCTION
The aim of this chapter is to afford some analytical solutions for the reactive and non-reactive flow case as shown in figure
1. The figure denotes an extremely lengthy reactive aquifer, being recharged through an extremely lengthy recharge basin
h a0 , t 0,
Symmetric
h 0, x 0,
x
0 x B,
0 z H
0 z a0
(3)
(4)
of width 2L, with the aquifer confined by means of a drain of
the regular head on both sides. Accurateness of the solutions
Water-resistant base:
h 0,
z 0,
0 x B
(5)
Symmetric
z
Uniform-head boundary:
C 0,
x
x 0,
0 z H
(15)
h a0 ,
x b,
0 z a0
(6)
Impermeable base boundary:
Discharge surface:
C 0,
z 0,
0 x B
(16)
h z, x B, a0 z H
-
z
Moving Free Space:
Seepage surface:
R
H l
K h l
C 0,
x B,
a z H
i
e t 3
xi
-
x 0
(17)
With
Exit end boundary:
R P0 ,
0 x L
C
C
0,
x L
-
ui C Dd x li
T ui C Dij x li
, x b,
0 z a0
And
H h z
-
i o u tsid e
i in sid e
(18)
where a 0 is primary saturated depth, e is actual Free surface boundary:
j
permeability at free surface, R is permeation ratio
D C l
P
H l3 C C ,
0 x L,
H 0
function, P0 is access rate from the basin, H is elevation of FS above reference datum, L is basin half-width, B
is aquifer half-width, t is time, and l is unit external
ij x i o
in itia l
0
t T t
usual to the FS.
D
C l
initial
H l C C
, L x B,
H 0
3
B.Transport Equation
ij x i
j
T t
unsat t
The equation of solute transportation in permeable
C H
media (Bear, 1972) can written as:
Dij x
li 0,
L x B,
t 0
C
t
u C
i
i x
xi
Dij
C
xj
-
j
(19)
Where C is solute absorption, Dij
is hydro dynamic
Where Initial — pore space filled by moistness,
C0 — the initial solute concentration
dispersion coefficients, and ui is the minute opening average velocity.
Cunsat — the solute concentration in the unsaturated region above the Free Space
Factors ui and Dij are defined as:
i
u K h
T xi
u
D a ukul TD
Total T e initial
In which Total is the total porosity associated.
C. MATHEMATICAL SOLUTIONS A.FLOW E QUATION
ij ijkl
d ij
The improvement of solutions for transportation
Where T is the Darcy permeability,
aijkl
the dispersity
equation ought to be pre yielded by the solution of the
tensor, u is degree of minute opening velocity, T is tortuosity, Dd is coefficient of nuclear diffusion, and
flow equation for the reason that later governs the velocity dispersal.
The growth of the Free Space above the preliminary
ij
is Kronecker delta. The word "Darcy porosity"denotes
saturated intensity, s, is first received with the aid of
the real hydraulically connected minute opening space in the saturated region. It is stated by Jacob Bear and
making use of the Dupuitt-Forcheimer assumption. The resultant equation has then linearized the use of the idea
others as the "effective porosity"; though, to
that
sa0 1
that is usually real for small infiltration
discriminate it from the "effective porosity" at the FS the term "Darcy porosity" is accepted in this thesis.
In Figure 1, Equation (11) is subjected to the subsequent
rates. The usage of Equations from (2) to (10), of the form:
Ka 2 s s R
ICs:
0
(20)
C 0,
t 0,
0 x B,
0 z a
x2 t
e
e
0 (14)
Subjected to the circumstances:
s 0,
sx 0,
s 0,
t 0,
x 0
x B
0 x B
Figure 2 Physical transformation of the domain
The unsteady free surface may be roughly defined through a circulation line which infers that the flow
p>R P0 ,
R 0,
0 x L L x B
design is corresponding to the reactive case.
Based on these norms, only the stable-state velocity design in the estimated restricted area figure (2) be
-
solution to Equation (20) and its boundary
circumstances is required over the Eigen function expansion technique to give:
required, and the downstream end can be prolonged to infinity.
2 h 2 h
X
2
Z
2
0, 0 X , 0 Z a0
Equation (2) and its related boundary situation are
4P
2n 1
2n 1
1 esimtplified to:
s
0 sin
L cos
x
n1
(21)
e 2n 1
2B
2B
Ka 2n 1 2
(24)
Where 0
e 2B
h P ,
0 X L,
Z a
(25)
The site of the higher boundary of the entire saturated flow area is now described by Equation (21). But, the Dupuitt-Forcheimer hypothesis implies a horizontal flow velocity through the flow area. This isn't really a especially below the basin in which the vertical components predominates.
A more precise explanation of the velocity distributions
Z 0 0
And the remaining part of the boundary is resistant. Equation (24) and the boundary conditions can be resolved using the Schwarz-Christoffel transformation method. Particulars of the solution process have been given
Variant part of the 1st term of equation (21), i.e.
must be required
It is now supposed that the flow design at any time t can be defined hence:
f t 1 exp1t
(Guvanasen, 1983).
Somewhere else
ui x, z,t ui x, z, f t
(22)
Solutions in terms of relations between X, Z,,
Where f (t) is the scale function reliant on time. Velocity at stable state ui x, z, is pursued thru a
and are:
X a0 ln
1
(26)
easy flow area, with the resulting transformation:
X x,
Z za0
s a0
(23)
a0
1
This conversion maps the flow area onto a rectangular area as indicated in the following Figure (2).
Using Equation (23), Equation (2) and the suitably transformed boundary conditions Equations (3) to (10) are still not agreeable to analytical solution methods and further interpretation of the problem is needed.
z cos 1 cosh
(28)
And
X a0
Q ln
1
(27)
Based on the principle that is sa0 1 , the added expectations are discussed below.
Q cos1 cosh Q
1
where
(29)
1 1 cosh
/ Qcos
/ Q 2 ;
1 1 sinh
/ Qsin
1 2 2 2 2
2
2 12
2
2 1 1
2 1 1
4 2
1 1 coshL / a ; 1 1 coshL / a
1 2 0 2 2 0
1
1 coshX / a
0
1
cosZ / a0
2
1 ;
Z Z
X H
H ;
x
2 0 0
1 sinhX / a sinZ / a
1
To resolve the transportation equation, it is
required that:
2 2 1 2 1
1 2 2 1 2 2 12
Q P0 L /T
1
2 2
4 2
d D
Where D = X, Z, t and d = x, z, t
To attain the above state certain expectations have to be made:
The velocity along streamlines is given by:
a0 H 1
i.e.,
sa0 1
2 2 2
2 14
H x 0
i.e., the gradient of surface is very
a
1 0
cosh
2
/Q
sin
2
/Qsinh
2
/Q
cos
2
/Q
1
2
u,;t
Q
2 1 1
4 2
small.
(30)
H t 0
Then
u 2 u 2
X Z
u
and the assumptions in equation (22) state that:
ut u f t
(31)
I.e. the rate of growth of the FS is very small, which is realistic when the flow rate is small and sa0 1 . Having completed the above norms, the transformed area of the transport equation
(Figure 2) stated, by removing asterisks, as:
where u
u ,;t .
C u C D C
(33)
j
t i X
Xi
ij X
i
In this study, u is given in the equation (30) and
f t Is approached by the time (32)
Where Ka 2 / 4B2 .
For Reynolds numbers, above 10-3 of molecular diffusion is insignificant related with convective dispersion. Equation (13) by using equation (22), can be rewritten as:
1 0 e
u u
D a
Henceforth the flow area is now well-defined by given geometrical limitations and Equation (21), the flow design is defined by Equation (26) (29), and the velocity distribution
is defined by Equations (31) and (32).
k l
u
ij ijkl
t
t
f t
By the transformation:
(34)
f t dt
0
ij
And Equations (22) and (34), Equation (33) is of the form:
B.Transport Equaton
C u X , Z, C
D X , Z, C
(35)
Applying the transformation in Equation (23) to
i
Xi
Xi
X j
-
, we get
C x, z,t C X , Z,t
It can be stated in a curvilinear coordinate system as:
Where C and C* are absorptions in the original and
C u 2 C u 2 D
C D
C
altered areas respectively. Related with such a many
t
L
T
relations, they are:
(36)
;
C C C Z
t t Z t
;
C C C Z
x X Z X
Where DT and DL are the lateral and longitudinal direction hydrodynamic dispersal coefficients.
Supposing that there is no dispersion throughout streamlines, Equation (36) becomes
C C a
Z Z H
C u2 C u2 D C
0 ;
;
L
(37)
z Z H
t H t
And
The boundary conditions, Equations from
-
to (19), to which Equation (37) is subjected to:
u v P L / a
0, C0 exp ;
4D
B , 0
(45)
0 T 0
(38)
L
Since DL is constant we can take outside from differentiation in Equation (37).
The boundary condition upstream, equation (19), is
By Laplace transformation with respect to, using equation (44) becomes
equivalent to:
C 0, C0
(39)
0, r
d 2
DL d2
(46) Equation
Which is corresponding to initial
H
t and a
(45) become
1
concentration gradient across the boundary approaching to zero.
At the perpendicular downstream end
0, r 1
d d 0;
Where
r
4DL
B
(47)
(48)
(Equation 18) with = B:
C
C
2DL
(40)
exp rd
0
With r = parameter of transformation. Solving
The real boundary condition needs to be inferring concentration at once inside the domain equals that right away
Equations from (46) to (48) gives:
C cosh r D
outide. But, to enable the mathematical answer the approximation in Equation (40) is hired. This estimate is authentic for decrease values of C.
Lapidus (1966) confirmed that a solution using the zero-
0
r 1 4DL
(49)
B
cosh B
L
r DL
gradient boundary situation is too viable. Their answer,
By inverse Laplace transformation, we get
0 p
though, essential roots from the related non-linear equation. Due to the relative comfort with which the solution using
C ex
1n 2n 1
exp B B
Equation (40) may be computed, and the verified accuracy of the ensuing answer in comparison with experimental results,
Equation (40) is used because of the boundary circumstance.
4DL n 2
2n 1
2DL
2n 1
DL
erfc B B exp B B
Initial Conditions:
C, 0 0
(41)
2
2DL
Other boundary conditions in Equations from (3) to (17)
B 2n 1B
and (19) are accepted by virtue of the foregoing approximations.
2
erfc
2 DL
v2
(50)
Put v Equation (37) is transformed to:
From Equation (43), and noting that
,
C C
2C
Equation (50) becomes
DL 2
(42)
1n 2n
2n
v2
C, C0 exp exp
B erfc
-
Let us consider the result in the form:
2DL n 2
2DL
C, ,exp / 2DL
/ 4DL
2v DL
(43)
Equation (42) and initial and boundary conditions
2n
2n
v2
become:
exp
B erfc
B
(51)
2
2DL
DL 2 ;
,0 0
(44)
A good approximation is
2v DL
C v2 v2
C 0 erfc exp erfc The longitudinal dispersion factor, DL, in S1 and S2 is
DL
DL
2
2v
(52)
DL
2v
approximated by: (60)
DL a1d50u
Which resembles to B .
(b) Solution 2 (S2). Interpretations used in developing this solution are
The downstream end can be prolonged to =; The convective procedure is main so that:
1
u
2 (53)
This technique adopts that as the tracer actions far away from the basis, the impacts of dispersion on the tracer distribution because the tracer actions beyond any factor end up small in contrast to the entire dispersion as much as that point.
With the help of equation (53), equation (42) becomes:
u
u L
C 2 C D 2C
Where a1 is longitudinal dispersity constant, and d50 the 50percent finer diameter of the aquifer substantial. The above equations is built on the experimental data and linearized to obey with equation (13).
RESULTS AND DISCUSSIONS
Concentrations contours generated by way of solutions S1 and S2, described in Equations (3.51) and (3.59), correspondingly, are indicated in Figure 3.3. In which the situations of the FS are produced through equation (3.21). Underneath the basin, at initial stages of recharge, the contours from the two solutions are comparable. Because the front movements further far away from the basin, at more times, locations of the front defined with the aid of each solution are inside the equal area
however, of various upright distribution. The front defined by
(54)
2 2
means of S1 is near vertical with its function about consistent with the average function of the front defined by S2.
Results from S1 and S2 are actually in comparison with
Which is subjected to
statistics from trials in a sand box in which a matrix of
C C0 ,
C,0 0
C 0,
0
0
(55)
conductivity investigations is fixed. Details of the experiments are given.
u
d
By Laplace transformation with respect to r, using equation (55) and equation (54) becomes
rC , r u2 dC , r DL r 2C , r
2
(56)
Equation (55) becomes:
C 0, r C0
r
(57)
Where
C , r exp r C, d
0
Solving equation (56) and (57), we obtain:
C , r C0 exp r
r 2
(58)
r 1 2
Where
d D
Figure 3 Concentration contours generated by analytical solutions, S1 and S2 at various times
Presented here are outcomes from 2 experiments A and B, the
4
1
2
u
0
And
2
L d
0 u
particulars of which are given in table 1. A regular evaluation amongst the measured and the calculated breakthrough curves is indicated in Fig.4 in which it's far obvious that the grades of
By inverse Laplace transformation of equation (58)
42
we obtain
the leap forward curves are correctly pretended through the
theoretical solutions. Because of the similarity of the breakthrough curve slopes, the exactness of the theoretical
C C0 erf
erf
4
(59)
answers may be measured using a feature arrival time at each
2 1
1 2 probe place. Theoretic and experimental arrival times of C/C0
= 0.5 from experiments A and B are displayed in 5A and 5B,
respectively. SJ usually does better under the basin (x/L < 1) however as the front travels similarly far away from the basin both solutions agree equally well with the experimental effects, despite the fact that SJ can't signify the vertical distribution of solute concentration.
Table 1: Details of Experiments
|
Experiment |
a0 (mm) |
L (mm) |
B (mm) |
e |
|
A |
308 |
300 |
6,000 |
0.3029 |
|
B |
164.5 |
300 |
6,000 |
0.325 |
|
aI=1.75, d50=1.88mm |
||||
It is noted also that as the value of
p P L2
Ka2
0
0
increases the discrepancies among the intended and the experimental arrival times are more suggested. This was observed from many similar experiments with distinct values of p'.
It has been proven that the float and transfer of solute in free- range aquifers can fairly correctly pretend with the aid of the finite-element method Equations. (2) (19) are solved without simplifying assumptions.
The evaluation among concentration contours expected by means of S1 and S2 and the finite – element solution using the information from expt. As indicated in fig 6A. And 6B which makes use of data from experiment B highlights the mentioned difference among the finite-element result and the analytical results S1 and S2 while p' is huge. At the selected time as indicated in fig 6B, the S1 and S2 fronts lag drastically behind the finite-element front.
Figure 5: Comparision of theoretical and experimental arrival times of C/C0 =0.5
(A) Experiment – A (B) Experiment – B
Figure 4 Comparison between theoretical and experimental Break- through-curvesFigure 6: Comparison between analytical and finite-element solutions:
(A) Experiment A and (B) Experiment – B
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