01.06.2013 Views

SonTek/YSI Argonaut-XR Technical Manual - HydroScientific West

SonTek/YSI Argonaut-XR Technical Manual - HydroScientific West

SonTek/YSI Argonaut-XR Technical Manual - HydroScientific West

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>SonTek</strong>/<strong>YSI</strong><br />

5.3. Standard Deviation<br />

Each velocity sample recorded by the <strong>Argonaut</strong> is the average of a number of pings. In addition<br />

to mean velocity, the <strong>Argonaut</strong> records the standard deviation of these samples as a direct<br />

measure of the accuracy of the velocity data. The measured standard deviation includes<br />

instrument-generated noise and real variations of the water velocity.<br />

Instrument-generated noise in velocity data can be estimated for a given set of operating<br />

parameters. This is useful in planning deployments, particularly for determining the operating<br />

parameters required for a desired accuracy. It can also be useful to compare the measured<br />

standard deviation to predicted values when analyzing data. Under normal operating conditions,<br />

these values will agree to within about 20%.<br />

The MD pings once per second; standard deviation decreases with the square root of the number<br />

of samples averaged. Increased averaging times are used to improve the precision of velocity<br />

measurements. Table 1 shows predicted standard deviation for the MD. The predicted standard<br />

deviation for other averaging times can be calculated by scaling with the square root of the<br />

number of samples.<br />

The standard <strong>XR</strong> and SL operate at an acoustic frequency of 1500 kHz. The expected standard<br />

deviation for each system is a function of the size of the measurement volume and the number of<br />

samples averaged. Like the MD, the <strong>XR</strong> and SL ping once per second and the number of samples<br />

averaged is equal to the averaging time in seconds.<br />

The formula below can be used to predict the standard deviation of <strong>XR</strong> and SL velocity data (in<br />

cm/s) based on cell size (CS, in meters) and the number of samples averaged (N). Cell size is the<br />

extent of the measurement volume and is equal to the difference between cell begin and cell end.<br />

Table 2 shows standard deviation values for the <strong>Argonaut</strong> <strong>XR</strong> and SL at different cell sizes and<br />

averaging times.<br />

8<br />

Table 1. <strong>Argonaut</strong>-MD Predicted Velocity Precision (Standard Deviation)<br />

Single Ping 30 second average 120 second average<br />

7.7 cm/s 1.4 cm/s 0.7 cm/s<br />

σ<br />

=<br />

20<br />

N CS<br />

Table 2. <strong>Argonaut</strong>-<strong>XR</strong>/SL Predicted Velocity Precision (Standard Deviation)<br />

1 m Cell Size 3 m Cell Size 10 m Cell Size<br />

Single ping 20 cm/s 11.5 cm/s 6.3 cm/s<br />

30-s avg. 3.7 cm/s 2.1 cm/s 1.2 cm/s<br />

120-s avg. 1.8 cm/s 1.1 cm/s 0.6 cm/s<br />

For the MD, velocity performance is identical between horizontal (XY) and vertical (Z) data. For<br />

the <strong>XR</strong>, the values shown in Table 2 reflect the performance of horizontal (XY) velocity data;<br />

vertical (Z) velocity data will have lower noise levels by about a factor of two. For the SL, the<br />

values reflect standard deviation in the cross-range direction (X) direction; along-range (Y) data<br />

will have lower noise levels by about a factor of two.<br />

<strong>Argonaut</strong> Principles of Operation (March 1, 2001)

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!