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scalar variance come fromsmaller wavenumbers (larger scales), those in the energy-
containing range. By contrast, Eq. (5.32) shows that the density of contributions to
the scalar derivative variance grows as κ 1 / 3 in the inertial range, meaning that the
contributions to the scalar derivative variance come mainly from wavenumbers in
the dissipative range.
We'll denote the intensity scale of the dissipative-range c -fluctuations as s d and
their length scale as η , the Kolmogorov microscale. (We are assuming here that
γ
ν . We discuss the general case when γ
ν in Chapter 7 .) Then χ c scales as
γ s d
∂c
∂x j
∂c
∂x j
χ c =
2 γ
η 2 .
(5.33)
3 /) 1 / 4 ,
Solving for s d yields, using η
=
χ 1 / 2
γ 1 / 4
1 / 4
c
s d
.
(5.34)
s 2 u/ . With
u 3 / this gives from (5.34)
We saw earlier that χ c
u
ν
1 / 4
s
s d
R 1 / 4
.
(5.35)
t
Since R t is large, this confirms that s d
s , meaning that the dissipative eddies
of the scalar field are of low intensity. This is the same relation that connects the
velocity scales of the dissipative and energy-containing eddies, Eq. (1.35) .
If we write Eq. (5.33) for χ c as
s d
s d
χ c
η 2 =
τ r ,
(5.36)
η 2 is the
time scale for their removal bymolecular diffusion. The time required for molecular
diffusion through distance η should depend only on η and γ , which indeed yield
a time of order η 2 . We conclude that χ c does represent the diffusive removal of
η -sized c fluctuations.
then since the η -sized c fluctuations have amplitude s d , we see that τ r
5.3.5 Simple limiting cases
As we shall discuss in Part II , near the surface in a quasi-steady, locally homoge-
neous turbulent boundary layer the turbulent transport term in the variance budget
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