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Natural Science Forum / Earth Science / Oceanography / January 2007



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Adjusting for "settling time" on an instrument.

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Charlie - 17 Jan 2007 15:15 GMT
Hello everyone,

I have a problem I'm trying to solve and I would appreciate any input
that may be available. I am not so much looking for the exact solution,
as I am looking for ideas on how to go about solving it. I can workout
the details after, I just need to figure out exactly what it is I'm
trying to do.

The Equipment:

I have a sensor moving through the ocean from surface to 200m depth in
a saw-tooth pattern. As it moves, it records its depth every 4 seconds,
it also records values for dissolved oxygen.

The Problem:

The oxygen sensor has a "settling time (63%)" of ~25seconds. So when I
look at the depth measurements, the corresponding oxygen measurements
are not from that depth, they are from some depth before hand.

I would like to correct for this, so I know exactly what depth my
oxygen measurements correspond to.

Someone suggested something about fourier transforms, or modelling it
with e^-t/tau where tau is my 25seconds... but I am unsure of what they
actually meant.

If someone could provide either an outline of what it is im trying to
do, or some keywords that I could google, it would be greatly
appreciated!

thanks for your time,

- Charlie
Alexm - 17 Jan 2007 21:43 GMT
> Hello everyone,
>
[quoted text clipped - 30 lines]
>
> - Charlie

An important parameter here is the time T for one cycle of the sawtooth
(down and back up).
What is T?

AlexM
Jon  Hubertz - 18 Jan 2007 14:48 GMT
If the velocity of the probe is constant, plot the depth of the probe versus
time and the oxygen values versus time and then displace the two curves by
the time difference between the depth measurement and the oxygen
measurement.

> Hello everyone,
>
[quoted text clipped - 30 lines]
>
> - Charlie
Charly Coughran - 18 Jan 2007 20:43 GMT
> Hello everyone,
>
[quoted text clipped - 30 lines]
>
> - Charlie

There are several issues you need to deal with.  First, let's look at
generalized sensor response.

Idealized sensors whose speed of response is proportional to the
difference of their current reading and the current value of what they
are trying to measure, respond in a exponential fashion.  That is, as
e^-t/tau.  tau is called the time constant, and if you work out the
percentage of the true value of a step function change that the sensor
outputs as a function of time you get:

       time        % of true
       1  tau        63%
       2  tau        86%
       10 tau        99.995%

Life is easiest when the tau of all your instruments are the same.  A
well designed pressure sensor will have a tau an order of magnitude, or
more, faster than your oxygen sensor.  A badly designed one could have a
tau greater than your oxygen sensor.  You should, at least, know
something about its response time.

In the real world, of course, instruments are not ideal.  They usually
have a response that is only 1st order exponential.  Whether or not that
matters depends on the accuracy you require.  Many real instruments have
a response that is close to the sum of two exponential and that is an oft
used model when an exponential doesn't quite fit the instruments response
curve.  

(As a side note, you say that the oxygen sensor has a "settling time
(63%)".  I suspect you found that on the instrument specification sheet.  
Quite often instrument manufactures will give you a single value for the
response time to an arbitrary % of full reading.  They will call it
something which may lead you to belive it is an exponential time
constant.  It is usually not since the instrument deviates from an
exponential response.)

This means you may need to characterize the response curve.  This is
usually done by setting up a step function in the measured variable in
the lab, then plotting the instrument response and trying to match it to
an exponential or some other curve.  You can also try to get an actual
responsse curve from the instrument maker.

This leaves your saw tooth depth pattern.  I assume this is the sea and
swell superimposed on your instrument descent rate. Fourier transforms,
i.e. spectrum analysis, will pull out the frequencies with the greatest
effect on your depth pattern.  This will give you valuable information
about depth smearing in your data.  It is unlikely you will be able to
come up with a simple delay that will allow you to calculate an oxygen
level at every pressure point.  More likely, you will come up with an
average oxygen level over some depth bin size throughout the water
column.

Charly Coughran
ccoughran@DELETE_TO_REPLY_UCSD.EDU
Charlie - 20 Jan 2007 17:33 GMT
Hello there! and thank you all for your informative replies.

You described it the same way my supervisor did, but unfortunately
he has gone on a trip out of the country and I have been left a little
confused.

The sensor in question is attached to an autonomous underwater
vehicle. It travels from the surface to 200m depth and vice versa
(unless the bottom is not at 200m in which case it turns around before
hand), in a saw-tooth pattern, it travels at a roughly constant speed
of about 20cm/s. So just to be clear, it is not towed or attached in
any way, so I'm not sure it is subject to a swell like you mentioned
earlier.

I was wondering if you could suggest any text's, published papers, or
websites that may address this issue as you seem to have a clearer
understanding of the problem than I do.

I use matlab to do all my analysis, are you familiar with this
software? I get what your saying, I am just unsure as to how to go
about adjusting for this lag... it doesn't have to be perfect, but I
would certainly like to have at least a rough idea of how the oxygen
profile is going to change... I have come across an interesting
feature and I would like to know at what depth it is actually
occurring at...

any more guidance you can provide would be greatly appreciated!

cheers,

- Charlie

> > Hello everyone,
> >
[quoted text clipped - 85 lines]
> Charly Coughran
> ccoughran@DELETE_TO_REPLY_UCSD.EDU
 
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