Environmental Engineering Reference
In-Depth Information
Solution
Substituting the given data and the calculated deriva-
tives into the mass balance equation, Equation (7.62)
yields
From the given data: A = 1 ha = 10 4 m 2 , Δ z = 1 m,
S m = 1.25 (mg/L)/d, K z = 0.35 cm 2 /s = 3.0 m 2 /d, Q in =
Q out = 0 m 3 /s, Δ t = 1 day, w = 0.5, c U, t = 8.0 mg/L,
c L, t = 5.0 mg/L, c t = 7.0 mg/L, c U, t t = 7.5 mg/L, c L, t t =
4.2 mg/L, and c t + Δ t = 6.2 mg/L. The volume of the layer
of interest is given by Equation (7.64) as
c
t
2
c
z
c
z
V
=
AK
2
z Q
+
z Q c Q c VS
+
+
z
z
in in
out
m
(
10
4
)(
c t
7 0
. )
+
∆ new
t
,
=
(
10
4
)( . )(
3 0
1 25 1
.
)( )
+
( )( .
0 1 78 1
)( )
V A z
=
=
(
10
4
)( )
1
=
10
4
m
3
+ −
0 0
+ (
10
4
)( .
1 25
)
At times t and t + Δ t , the derivatives of O 2 concentration
distribution are given by Equations (7.65-7.67) as
which yields c t t ,new = 4.5 mg/L. Hence, on the next iter-
ation, the O 2 concentration in the current layer at time
t + Δ t is to be taken as 4.5 mg/L. It should be apparent
that a numerical scheme that uses c t t ,new in calculating
the spatial derivatives is likely to lead to a more rapid
convergence of the concentrations distribution at time
t + Δ t .
2
c
c
c
c
+
c
1
U
,
t
t
t
L
,
t
z
2
(
z
+
z
)
/
2
(
z
z
)
/
2
z
U
L
t
8 0 7
.
.
0
7 0 5 0
1
.
.
1
1
=
1
2
= −
1 0
. (
mg/L /m
)
c
c
c
+
c
c
z
1
2
U
,
t
t
t
L
,
t
+
(
z
+
z
)
/
2
(
z
z
)
/
2
7.5.2.2  Conservation  of Energy Model.  One-dimen-
sional heat models are mostly concerned with predict-
ing vertical variations in temperature in large reservoirs.
Perhaps the simplest one-dimensional steady-state heat
model is one in which an isothermal well-mixed epilim-
nion and an isothermal well-mixed hypolimnion both
exist, there is steady-state heat exchange between the
epilimnion and hypolimnion, and there is steady-state
heat exchange with the atmosphere at the reservoir
surface. The governing equations for this circumstance
are as follows:
t
U
L
8 0 7 0
1
.
.
7 0 5 0
1
.
.
1
2
=
+
=
1 5
. (
mg/L /m
)
c
z
2
c
+
c
c
+
c
1
U t
,
+
t
t
+
t
t
+
t
L
,
t
+
t
2
(
z
z
)
/
2
(
z
z
)
/
2
z
U
L
t
+
t
7 5 6 2
1
.
.
7 0 4 2
1
.
.
1
1
=
2
= −
1 5
. (
mg/L /m
)
c
c
c
+
c
c
z
1
2
dT
dt
U
,
t
+
t
t
+
t
t
+
t
L
,
t
+
t
+
e
V c
ρ
=
Q c T t Qpc T
ρ
( )
+
JA v A c T T
+
ρ
(
)
(
z
+
z
)
/
2
(
z
z
)
/
2
e
p
p in
p e
s
t
t
p
h
e
t
+
t
U
L
(7.68)
(7.69)
7 5 6 2
1
.
.
7 0 4 2
1
.
.
1
2
dT
dt
=
+
h
V c
ρ
=
v A c T T
t
ρ (
)
h
p
t
p
e
h
=
2 05
.
(
mg/L /m
)
where V e and V h are the volumes of the epilimnion and
hypolimnion, respectively (L 3 ), ρ is the density of water
(ML −3 ), c p is the specific heat of water (EM −1 ·°C −1 ), T e
and T h are the temperatures of the epilimnion and hypo-
limnion, respectively (°C), t is time (T), Q is the flow
rate into the epilimnion (L3T−1), 3 T −1 ), T in is the temperature
of the inflow (°C), J is the surface heat flux into
the epilimnion (EL−2T−1), −2 T −1 ), A s is the surface area of the
reservoir, ν t is the thermocline heat transfer coefficient
(LT −1 ), and A t is the surface area of the thermocline
interface (L 2 ). The thermocline heat transfer coefficient,
ν t , is related to the vertical diffusion coefficient in the
thermocline, E t (L 2 T −1 ) by the relation
c
t
c
c
c
7 0
.
t
+
t
,
new
t
t
+
t
,
new
=
=
c
7 0
. (
mg/L /d
)
t
+
t
,
new
t
1
where c t t ,new is the new iterative estimate of c t t . Using
a weight of w = 0.5, the spatial derivatives of the con-
centration distribution are estimated as
2
c
z
2
c
+
2
c
w
(
1
w
)
2
2
2
z
z
t
t
+
t
=
( . )(
0 5
1 0
. )
+
(
1
0 5
. )(
1 5
. )
= −
1 25
.
(
mg/L /m
)
2
c
z
c
z
c
z
+
w
(
1
w
)
t
t
+
t
= E
=
( . )( . )
0 5 1 5
+
(
1 0 5 2
. )(
.
05
)
t
ν t
H
(7.70)
=
1 78
.
(
mg/L /m
)
t
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