In h(x), x is a dummy variable of integration (in calculating K , when the known relation h(S) is available, S is replaced by x in the integrands. So h(x) or h(S) is exactly what we are looking for.
The issue here is in the reverse procedure we don't have any knowledge about the relation between h and x (or in fact h and S), so the integrals could not be calculated. How about this?
Hi every one,
Here is my question: In soil physics, knowing the relation between suction head, h, and the soil water content, S, one can derive the hydraulic conductivity, K, of that soil using a formula like:
(ignore the superscripts "cap")
where in my problem, τ=0.5, κ=1, β=2...
Yes sure, the original PDE is:
in which \alpha_{i}s are medium related parameters.
The formulation of the characteristic method I'm using is from here.
thanks,
Reza
Hi everybody,
I need to solve a 1st order PDE for my thesis and I'm not a specialist in this field.
I've read some texts about this and know one method of solving a 1st order PDE is the method of characteristics. since my equation is nonlinear and a bit complicated, I'm going to solve it...
Hi, hope this is a right place to ask this question. I work in the soil physics field and this problem has taken lots of my energy for a while! let's state it:
Unsaturated horizontal water flow in 2 layer soil:
we have, M(for Moisture), K (for hydraulic conductivity), h (for hydraulic...
I have yearly rain amounts and want to estimate the rain with 100 year return period assuming different distribution. I know some ways to do with for example normal dist. but it's not general for all pdfs.
The sketch would be something like this:
In each point on the plane, (x,y), there is a gradient vector as you said, 2xi - 2yj . these vectors point to the direction in the function's domain, which the main function has the greatest increase in its value.