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Mathematical Analysis of Reactive and Non-Reactive Flow and Transport of Contaminants in Saturated Zone of Aquifers

DOI : 10.17577/IJERTV14IS080130

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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

  1. z

    Moving Free Space:

    Seepage surface:

    R

    H l

    K h l

    C 0,

    x B,

    a z H

    i

    e t 3

    xi

  2. x 0

    (17)

    With

    Exit end boundary:

    R P0 ,

    0 x L

    C

    C

    0,

    x L

  3. ui C Dd x li

    T ui C Dij x li

    , x b,

    0 z a0

    And

    H h z

  4. 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

  5. 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

  1. 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

    1. , 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

    2. 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-curves

Figure 6: Comparison between analytical and finite-element solutions:

(A) Experiment A and (B) Experiment – B

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