5
$\begingroup$

Modelling the diffusion of a gas dissolved in water in a vertical column of water, several meters deep. Also assuming the water is completely still, so only diffusion plays a role. (Actually a model of methane and oxygen diffusion in the water in peatlands.)

Fick's law says that diffusion flux $J$ depends on the concentration gradient as

$J = -D \frac{\partial C}{\partial z}$.

where $C$ is the gas concentration. (And $D$ diffusion coefficient.)

But

  1. There is also hydrostatic pressure gradient, and in a higher pressure more gas can be dissolved in a volume of water and still be in chemical equilibrium with a volume of lower pressure of water with a somewhat smaller concentration of dissolved gas. With a small enough gas concentration gradient, the diffusion should actually go against the gradient.

  2. The water can have different temperatures at different depths. And the solubility of the gas is temperature-dependent. So again, if the concentration gradient is small, there could actually be diffusion flux from lower concentration to higher concentration, if the latter is also much colder (higher solubility in cold water).

How to modify the diffusion equation to account for these effects? As far as I understand, the gradient driving the diffusion should not be calculated from the concentration, but from then chemical potential of the gas dissolved in water.

So in other words, how to calculate the chemical potentials of oxygen or methane dissolved in water at certain pressure and solubility (temperature)?

$\endgroup$
3
$\begingroup$

Just a hunch, but I bet Fick's law is really just a potential function gradient in disguise that simplifies down to the form you have for some situations. What you really want is something more like

$$J = -D(p,T)\frac{\partial \psi(C,p,T)}{\partial z}$$

where $\psi(C,p,T)$ is probably related to the potential change from one point to another. How you figure out what $D(p,T)$ and $\psi(C,p,T)$ are will be the tricky part, but I bet you can come to an approximation if you consider the chemistry physics. If you want analytic solutions you might start with a Taylor series type approximation to the potential function

$$\psi(C,p,T) = \psi_0+(C-C_0)\left.\frac{\partial \psi}{\partial C}\right|_{C_0}+(p-p_0)\left.\frac{\partial \psi}{\partial p}\right|_{p_0}+(T-T_0)\left.\frac{\partial \psi}{\partial T}\right|_{T_0}$$

Then you just need to approximate the three partial derivatives. I would think that you can just look up tables with the potentials. The $D(p,T)$ term is really all about the odds of a subset of molecules passing from one point and state to a neighboring one.

$\endgroup$
  • $\begingroup$ But how could I get the three partial derivatives? Where would I find such tables? (I am not a chemist, so not familiar with standard reference works.) $\endgroup$ – Sampo Smolander Oct 28 '13 at 18:00
  • $\begingroup$ I don't know where you would find that kind of information in a table, assuming it even exists. If the data doesn't exist then you only have two options: collect the data yourself or come up with a theoretical model. I would be surprised if their weren't at least some theoretical work done in the area already. A quick internet search turned up a bunch of interesting related work. It's not surprising that their would be lots of interest in the role of temperature gradients in driving diffusion in metals. $\endgroup$ – SimpleLikeAnEgg Oct 28 '13 at 18:28
  • 1
    $\begingroup$ The following looks like it has some useful stuff: uio.no/studier/emner/matnat/kjemi/KJM5120/v05/… If you took equation 5.8 and differentiated it without assuming constant temperature you might get somewhere. I'd start by trying to understand the problem without a pressure gradient. $\endgroup$ – SimpleLikeAnEgg Oct 28 '13 at 18:44

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.