The log wind profile is a semi-empirical relationship commonly used to describe the vertical distribution of horizontal mean wind speed within the lowest portion of the planetary boundary layer (PBL).[1] The logarithmic profile of wind speeds is generally limited to the lowest 100 m of the atmosphere (i.e., the surface layer of the atmospheric boundary layer). The rest of the atmosphere is composed of the remaining part of the PBL (up to around 1 km) and the troposphere or free atmosphere. In the free atmosphere, geostrophic wind relationships should be used, instead.
Formulation
The equation to estimate the mean wind speed (
u
z
{\displaystyle u_{z}}
) at height
z
{\displaystyle z}
(meters) above the ground is:
-
u
z
=
u
∗
κ
[
ln
(
z
−
d
z
0
)
+
ψ
(
z
,
z
0
,
L
)
]
{\displaystyle u_{z}={\frac {u_{*}}{\kappa }}\left[\ln \left({\frac {z-d}{z_{0}}}\right)+\psi (z,z_{0},L)\right]}
where
u
∗
{\displaystyle u_{*}}
is the friction velocity (m s−1),
κ
{\displaystyle \kappa }
is the Von Kármán constant (~0.41),
d
{\displaystyle d}
is the zero plane displacement (in metres),
z
0
{\displaystyle z_{0}}
is the surface roughness (in meters), and
ψ
{\displaystyle \psi }
is a stability term where
L
{\displaystyle L}
is the Obukhov length from Monin-Obukhov similarity theory. Under neutral stability conditions,
z
/
L
=
0
{\displaystyle z/L=0}
and
ψ
{\displaystyle \psi }
drops out and the equation is simplified to,
-
u
z
=
u
∗
κ
[
ln
(
z
−
d
z
0
)
]
{\displaystyle u_{z}={\frac {u_{*}}{\kappa }}\left[\ln \left({\frac {z-d}{z_{0}}}\right)\right]}
.
Zero-plane displacement (
d
{\displaystyle d}
) is the height in meters above the ground at which zero mean wind speed is achieved as a result of flow obstacles such as trees or buildings. This displacement can be approximated as 2/3 to 3/4 of the average height of the obstacles.[2] For example, if estimating winds over a forest canopy of height 30 m, the zero-plane displacement could be estimated as d = 20 m.
Roughness length (
z
0
{\displaystyle z_{0}}
) is a corrective measure to account for the effect of the roughness of a surface on wind flow. That is, the value of the roughness length depends on the terrain. The exact value is subjective and references indicate a range of values, making it difficult to give definitive values. In most cases, references present a tabular format with the value of
z
0
{\displaystyle z_{0}}
given for certain terrain descriptions. For example, for very flat terrain (snow, desert) the roughness length may be in the range 0.001 to 0.005 m.[2] Similarly, for open terrain (grassland) the typical range is 0.01-0.05 m.[2] For cropland, and brush/forest the ranges are 0.1-0.25 m and 0.5-1.0 m respectively. When estimating wind loads on structures the terrains may be described as suburban or dense urban, for which the ranges are typically 0.1-0.5 m and 1-5 m respectively.[2]
In order to estimate the mean wind speed at one height (
z
2
{\displaystyle {{z}_{2}}}
) based on that at another (
z
1
{\displaystyle {{z}_{1}}}
), the formula would be rearranged,[2]
-
u
(
z
2
)
=
u
(
z
1
)
ln
(
(
z
2
−
d
)
/
z
0
)
ln
(
(
z
1
−
d
)
/
z
0
)
{\displaystyle u({{z}_{2}})=u({{z}_{1}}){\frac {\ln \left(({{z}_{2}}-d)/{{z}_{0}}\right)}{\ln \left(({{z}_{1}}-d)/{{z}_{0}}\right)}}}
,
where
u
(
z
1
)
{\displaystyle u({{z}_{1}})}
is the mean wind speed at height
z
1
{\displaystyle {{z}_{1}}}
.
Limits
The log wind profile is generally considered to be a more reliable estimator of mean wind speed than the wind profile power law in the lowest 10–20 m of the planetary boundary layer. Between 20 m and 100 m both methods can produce reasonable predictions of mean wind speed in neutral atmospheric conditions. From 100 m to near the top of the atmospheric boundary layer the power law produces more accurate predictions of mean wind speed (assuming neutral atmospheric conditions).[3]
The neutral atmospheric stability assumption discussed above is reasonable when the hourly mean wind speed at a height of 10 m exceeds 10 m/s where turbulent mixing overpowers atmospheric instability.[3]
Applications
Log wind profiles are generated and used in many atmospheric pollution dispersion models.[4]
See also
References
- Oke, T.R. (1987). Boundary Layer Climates. Methuen.
- Holmes JD. Wind Loading of Structures. 3rd ed. Boca Raton, Florida: CRC Press; 2015.
- Cook, N.J. (1985). The designer's guide to wind loading of building structures: Part 1. Butterworths.
- Beychok, Milton R. (2005). Fundamentals Of Stack Gas Dispersion (4th ed.). author-published. ISBN 0-9644588-0-2.