q = Aquifer height [L]
= Homogeneous velocity [LT-1 ]
Kx = Permeability coefficient [LT-1]
f = Flow rate [LT-1]
ne = Porosity [ - ]
T = Time [T]
Z = Depth [L]
………………………. (2)
………………………. (3)
………………………. (4)
Substituting equation (2), (3) and (4) into equation (1) yields:
………. (5)
………………. (6)
………………. (7)
………………. (8)
………………. (9)
.………………. (10)
………………. (11)
………………. (12
………………. (13)
………………. (14)
………………. (15)
Looking at directions of fluid flow in soil, there should be the tendency where the deposition should be thorough evaluated; this implies that in 15, the stages of the derived solution should monitor the condition of fluid dynamics under the influences of deposited hydraulic conductivity pressured by heterogeneous coarse depositions. It develop velocity dynamics to generates some of the major factors that should determined the rate of partial depositions of lead in any formation, therefore the expressed solution monitor the ability of the developed model to monitor the behaviour of lead concentration partially through the determined parameters , the deposition of the expressed model at these phase of the derived solution assess the parameters and express its relationships with the time of velocity flow dynamics in such conditions.
Furthermore, considering the boundary condition, we have at
………………. (16)
………………. (17)
Considering the following boundary condition in the equation
…………………………. (18)
………………. (19)
Considering the denominator in the equation, we have
………………. (20)
Considering
………………. (21)
………………. (22)
………………. (23)
………………. (24)
………………. (25)
………………. (26)
………………. (27)
………………. (28)
Applying quadratic expression to equation (28), we have
Where a =
, b =
and c =
………………. (29)
………………. (30)
………………. (31)
………………. (32)
Since we have
, it implies that
………………. (33)
If A = B = 1
(34)
The behaviour of these system are to express various parameters that transmits fluid in different formations, looking at this condition it has to evaluated from the derived solution, the variations on hydraulic conduction determine the rate velocity of flow dynamics, these condition influences the heterogeneity in partial depositions of lead, the derived expression monitor the velocity dynamics pressured by formation characteristics, these affect the rates of lead concentration as the contaminant migrates to different soil formations. These developments were considered in the derived solution base on the heterogeneity of the structured strata under the influences of geological settings. The derived model at these phase monitored the behaviour of the substances through the effect from these parameters between 16-34. Application of the derived expression are base on the relationship establish in their various functions, these condition provided a platform for parameters to institute their various functions in the storage of fluid dynamics base on heterogeneous setting, the application of quadratic method were to integrate various parameters base on their relationship to evaluate their functions, because theses will always pressure the deposition of fluid variation influencing partial depositions of lead substances in coarse formation. The expressed solution at this stage implies that the relation between those parameters shows the rate of integrated influences despite their variations in depositions.
Applying inverse Laplace of the equation yield
(35)
(36)
At this point
for equation (34) at
, we have
Hence
Equation (37) can be written as:
(37)
If
(38)
Partial deposition of lead through velocity dynamics has been expressed though these derived solutions, the study monitored the system were the formation deposit lead substances in partial conditions, such condition were observed in the study location to determined their influences in n variation of lead concentration, permeability and soil porosity were significant parameters that varies, these variables were integrated to monitor the substances in the study location, these expression monitored the variation of effect from these influential parameters, the establishment of these parameters through their relationship has shows there different significant in the derived model expression.