Timescale to propagate a perturbation through a system?

AI Thread Summary
The discussion revolves around the propagation of a perturbation in a river catchment system, focusing on how changes in input flux (Fin) affect output flux (Fout). The user seeks to understand the time it takes for Fout to adjust to a new equilibrium after a change in Fin, hypothesizing that this transition occurs over a time period T. The conversation highlights the importance of the catchment's volume in absorbing excess mass during this transition phase, leading to a gradual increase in Fout until it stabilizes at a new value. The complexity of analyzing continuous input changes versus step functions is noted, with references to existing literature on similar problems. The user is encouraged to explore resources that address systems with lag and nonlinear dynamics for further insights.
tonydoss
Messages
2
Reaction score
0
Hi,

I'm a geologist, and I really suck in physics so I would need some help, please! This is not a homework question, I'm an academic! This is for my research...

Let's say I have a "box" (a river catchment) with a mass, M, of material (sediments) in this box, which resides in the box for a time, T. There's a flux in the box, Fin, balanced by a flux out of the box, Fout, and equal to M/T (see attached PDF file)

Let's say I change Fin to a new value, Fin_new. I have the gut feeling it would take the time T for this perturbation to propagate through the box and for Fout to reach a new value (Fout_new = Fin_new)... but I have no idea how to put that in equations (for example, express Fout as a function of T and the old and new values of Fin).
Any help, please?

Thanks in advance
 

Attachments

Physics news on Phys.org
If the catchment had zero volume, then surely Fout=Fin regardless of how Fin might vary in the future (eg: Fin_new). However, the purpose of the catchment (which has a non trivial volume) is to allow the absorption of excess mass (Fin_new - Fin_old) over an initial transition time (T'). Once the catchment has filled up, then Fin_new = Fout_new.

So, Fout_new gradually increases above Fout_old until T' has elapsed, thereafter Tout_new stabilizes and equals Tin_new. During that transition phase, the catchment was acquiring the excess Mass (delta_M).
 
I have seen this exact problem treated somewhere (I think it in the context of maintaining a fluid level), but I can't recall where- it's a "system with lag", and I think it's nonlinear.

If the change in input is a simple step (from one constant to another), you can readily determine the new equilibrium, but maybe not the detailed approach to equilibrium. If the input is allowed to vary continuously, the system becomes much more difficult to analyze.
 
say the change in input is a step function, how do I write Fout_new as a function of Fin_new, t (the time as a variable) and T (the residence time in the box)?
 
Like I said, I don't recall exactly where I saw it. Here's a PPT set of slides that treats a similar problem:

hotohke.ou.edu/~astriolo/ProcessDynamics&Control/Class08.ppt

The first 10-12 slides are great but then it gets a little rough. Hopefully it's enough to get you started.
 
Thread 'Question about pressure of a liquid'
I am looking at pressure in liquids and I am testing my idea. The vertical tube is 100m, the contraption is filled with water. The vertical tube is very thin(maybe 1mm^2 cross section). The area of the base is ~100m^2. Will he top half be launched in the air if suddenly it cracked?- assuming its light enough. I want to test my idea that if I had a thin long ruber tube that I lifted up, then the pressure at "red lines" will be high and that the $force = pressure * area$ would be massive...
I feel it should be solvable we just need to find a perfect pattern, and there will be a general pattern since the forces acting are based on a single function, so..... you can't actually say it is unsolvable right? Cause imaging 3 bodies actually existed somwhere in this universe then nature isn't gonna wait till we predict it! And yea I have checked in many places that tiny changes cause large changes so it becomes chaos........ but still I just can't accept that it is impossible to solve...
Back
Top