Advection Explained

In the field of physics, engineering, and earth sciences, advection is the transport of a substance or quantity by bulk motion of a fluid. The properties of that substance are carried with it. Generally the majority of the advected substance is also a fluid. The properties that are carried with the advected substance are conserved properties such as energy. An example of advection is the transport of pollutants or silt in a river by bulk water flow downstream. Another commonly advected quantity is energy or enthalpy. Here the fluid may be any material that contains thermal energy, such as water or air. In general, any substance or conserved, extensive quantity can be advected by a fluid that can hold or contain the quantity or substance.

During advection, a fluid transports some conserved quantity or material via bulk motion. The fluid's motion is described mathematically as a vector field, and the transported material is described by a scalar field showing its distribution over space. Advection requires currents in the fluid, and so cannot happen in rigid solids. It does not include transport of substances by molecular diffusion.

Advection is sometimes confused with the more encompassing process of convection, which is the combination of advective transport and diffusive transport.

In meteorology and physical oceanography, advection often refers to the transport of some property of the atmosphere or ocean, such as heat, humidity (see moisture) or salinity. Advection is important for the formation of orographic clouds and the precipitation of water from clouds, as part of the hydrological cycle.

Distinction between advection and convection

The term advection often serves as a synonym for convection, and this correspondence of terms is used in the literature. More technically, convection applies to the movement of a fluid (often due to density gradients created by thermal gradients), whereas advection is the movement of some material by the velocity of the fluid. Thus, although it might seem confusing, it is technically correct to think of momentum being advected by the velocity field in the Navier-Stokes equations, although the resulting motion would be considered to be convection. Because of the specific use of the term convection to indicate transport in association with thermal gradients, it is probably safer to use the term advection if one is uncertain about which terminology best describes their particular system.

Meteorology

In meteorology and physical oceanography, advection often refers to the horizontal transport of some property of the atmosphere or ocean, such as heat, humidity or salinity, and convection generally refers to vertical transport (vertical advection). Advection is important for the formation of orographic clouds (terrain-forced convection) and the precipitation of water from clouds, as part of the hydrological cycle.

Other quantities

The advection equation also applies if the quantity being advected is represented by a probability density function at each point, although accounting for diffusion is more difficult.^[1]

Mathematics of advection

The advection equation is the partial differential equation that governs the motion of a conserved scalar field as it is advected by a known velocity vector field. It is derived using the scalar field's conservation law, together with Gauss's theorem, and taking the infinitesimal limit.

One easily visualized example of advection is the transport of ink dumped into a river. As the river flows, ink will move downstream in a "pulse" via advection, as the water's movement itself transports the ink. If added to a lake without significant bulk water flow, the ink would simply disperse outwards from its source in a diffusive manner, which is not advection. Note that as it moves downstream, the "pulse" of ink will also spread via diffusion. The sum of these processes is called convection.

The advection equation

In Cartesian coordinates the advection operator is$$\backslash mathbf\; \backslash cdot\; \backslash nabla\; =\; u\_x\; \backslash frac\; +\; u\_y\; \backslash frac\; +\; u\_z\; \backslash frac.$$where

u = (u _{x,} u _{y,} u _{z)} is the velocity field, and \nabla is the del operator (note that Cartesian coordinates are used here).\psi is expressed mathematically by a continuity equation:

$$\backslash frac\; +\backslash nabla\backslash cdot\backslash left(\backslash psi\backslash right)\; =0$$

where

\nabla ⋅ is the divergence operator and again u is the velocity vector field. Frequently, it is assumed that the flow is incompressible, that is, the velocity field satisfies

$$\backslash nabla\backslash cdot\; =\; 0\; .$$

In this case,

u is said to be solenoidal. If this is so, the above equation can be rewritten as

$$\backslash frac\; +\backslash cdot\backslash nabla\backslash psi\; =0$$

In particular, if the flow is steady, then$$\backslash cdot\backslash nabla\; \backslash psi\; =\; 0$$which shows that

\psi is constant along a streamline.

If a vector quantity

a (such as a magnetic field) is being advected by the solenoidal velocity field u , the advection equation above becomes:$$\backslash frac\; +\; \backslash left(\backslash cdot\; \backslash nabla\; \backslash right)\; =0.$$

Here,

a is a vector field instead of the scalar field \psi .

Solving the equation

The advection equation is not simple to solve numerically: the system is a hyperbolic partial differential equation, and interest typically centers on discontinuous "shock" solutions (which are notoriously difficult for numerical schemes to handle).

Even with one space dimension and a constant velocity field, the system remains difficult to simulate. The equation becomes$$\backslash frac\; +\; u\_x\; \backslash frac=0$$where

\psi = \psi(x,t) is the scalar field being advected and u _{x} is the x component of the vector u = (u _{x,} 0 , 0 ) .

Treatment of the advection operator in the incompressible Navier–Stokes equations

According to Zang,^[2] numerical simulation can be aided by considering the skew-symmetric form for the advection operator.$$\backslash tfrac12\; \backslash cdot\; \backslash nabla\; +\; \backslash tfrac12\; \backslash nabla\; \backslash cdot$$

where$$\backslash nabla\; \backslash cdot\; =\; [\backslash nabla\; \backslash cdot\; (\{\backslash mathbf\; u\}\; u\_x),\backslash nabla\; \backslash cdot\; (\{\backslash mathbf\; u\}\; u\_y),\backslash nabla\; \backslash cdot\; (\{\backslash mathbf\; u\}\; u\_z)]$$and

u is the same as above.

Since skew symmetry implies only imaginary eigenvalues, this form reduces the "blow up" and "spectral blocking" often experienced in numerical solutions with sharp discontinuities.^[3]

Using vector calculus identities, these operators can also be expressed in other ways, available in more software packages for more coordinate systems.

$$\backslash mathbf\; \backslash cdot\; \backslash nabla\; \backslash mathbf\; =\; \backslash tfrac12\; \backslash nabla\; \backslash |\backslash mathbf\backslash |^2\; +\; \backslash left(\backslash nabla\; \backslash times\; \backslash mathbf\; \backslash right)\; \backslash times\; \backslash mathbf$$$$\backslash tfrac12\; \backslash mathbf\; \backslash cdot\; \backslash nabla\; \backslash mathbf\; +\; \backslash tfrac12\; \backslash nabla\; \backslash cdot\; (\backslash mathbf\; \backslash mathbf)\; =\; \backslash tfrac12\; \backslash nabla\; \backslash |\backslash mathbf\backslash |^2\; +\; \backslash left(\backslash nabla\; \backslash times\; \backslash mathbf\; \backslash right)\; \backslash times\; \backslash mathbf\; +\; \backslash tfrac12\; \backslash mathbf\; (\backslash nabla\; \backslash cdot\; \backslash mathbf)$$

This form also makes visible that the skew-symmetric operator introduces error when the velocity field diverges. Solving the advection equation by numerical methods is very challenging and there is a large scientific literature about this.

See also

• Advection-diffusion equation
• Atmosphere of Earth
• Conservation equation
• Courant–Friedrichs–Lewy condition
• Kinematic wave
• Overshoot (signal)
• Péclet number
• Radiation

References

1. Book: Yin, C. . A. . Kareem . Probability advection for stochastic dynamic systems. Part I: Theory . 1149–1156 . George . Deodatis . Bruce R. . Ellingwood . Dan M. . Frangopol . Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures . CRC Press . 2014 . 978-1-138-00086-5 .
2. Zang . Thomas . 1991 . On the rotation and skew-symmetric forms for incompressible flow simulations . Applied Numerical Mathematics . 7 . 27–40 . 10.1016/0168-9274(91)90102-6 . 1991ApNM....7...27Z .
3. Book: Boyd, John P. . Chebyshev and Fourier Spectral Methods 2nd edition . 2000 . Dover . 213.