PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
PE EIE[R-Rg RESEARCH ON - HJ Andrews Experimental Forest
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targets are insonified several times . The tru e<br />
number of fish is determined by countin g<br />
only the peak echo amplitudes from eac h<br />
series of returns from a single fish (corresponding<br />
to the location of the fish nearest<br />
the acoustic axis) . Counting errors are directl y<br />
proportional to the concentration of fish .<br />
When several fish are observed within th e<br />
counting stratum simultaneously, it is difficult<br />
to keep track of the various targets .<br />
Under these conditions an alternative counting<br />
technique can be used . Instead of counting<br />
every fish target, the number of targets<br />
within the stratum can be noted for randomly<br />
selected pulses, and a mean number of target s<br />
per pulse determined for the transect . This<br />
number can be directly compared with th e<br />
sampling volume of the cone to determine th e<br />
mean density of fish along the transect .<br />
Determination of the Sampling Volum e<br />
The sampling volume of the sounder con e<br />
can be approximated from the directivity pat -<br />
tern. However, the volume is also dependen t<br />
on the size and depth of the fish targets, th e<br />
transmitter power and receiver gain of th e<br />
sounder and the minimum threshold fo r<br />
counting. The sampling volume can be directly<br />
determined from the number of times a<br />
target remains within the sounder cone as th e<br />
boat passes over the fish at a known speed .<br />
The width of the path of a fish through th e<br />
sound cone is determined from the formula<br />
w =<br />
boat speed (meters/sec) times duration in cone (pulses)<br />
pulse rate of sounder (pulses/sec )<br />
where duration is the average number of time s<br />
an individual target is sounded upon . It can b e<br />
shown mathematically that the average length<br />
of parallel chords through a circle is 7r/4 time s<br />
the diameter. Thus the diameter of th e<br />
sounder cone at the depth of the fish target s<br />
is 4/7r times the average path width . The sampling<br />
volume of the cone on a single pulse i s<br />
then the cross-sectional area of the cone (irr 2 )<br />
at the mean depth times the depth interval .<br />
The volume of water surveyed along a transect<br />
is the diameter of the sampling cone a t<br />
the mean depth, times the depth interva l<br />
times the transect length .<br />
Integration Procedure<br />
Since echo counting from the oscilloscop e<br />
is time consuming and its application limited<br />
to lower density situations, basic data processing<br />
is generally done primarily by echo integration.<br />
Determination of integrated voltages<br />
from the data collected on magnetic tape is<br />
done by use of a special integration system<br />
utilizing a small general-purpose computer .<br />
This system, called the Digital Data Acquisition<br />
and Processing System (DDAPS), integrates<br />
voltages from fish targets within several<br />
depth intervals simultaneously and calculate s<br />
the fish abundance using input calibration an d<br />
target strength data (Moose, Green, an d<br />
Ehrenberg 1971) . A block diagram of the<br />
system is shown in figure 3 . An example of<br />
the DDAPS output is shown in figure 4 .<br />
Tap e<br />
playe r<br />
Teletyp e<br />
printer<br />
Digita l<br />
squarin g<br />
circui t<br />
Figure 3 . Block diagram of digital data acquisitio n<br />
Upper limit of<br />
depth interval<br />
system (DDAPS) .<br />
Integrated<br />
(voltage) 2<br />
Rectifie r<br />
and<br />
filte r<br />
PDP- 8<br />
Computer<br />
Fish density<br />
(N/m 3 )<br />
Numbe r of<br />
digital sample s<br />
6 3485 +0 .344950E-04 818 1<br />
12 6489 +13 .642376E-04 828 2<br />
18 38175 +0 .377970E-03 818 1<br />
24 24162 +0 .239227E-03 715 4<br />
30 3394 +0 .336040E-04 5 0<br />
36 0 +0 .000000E+00 0<br />
42 0 +0 .000000E+00 0<br />
48 0 +0 .000000E+00<br />
54 0 +0 .000000E+00<br />
Figure 4 . Example of DDAPS output .<br />
Analog t o<br />
digita l<br />
converte r<br />
Typically the average target strength is no t<br />
known precisely before processing . The density<br />
outputs of DDAPS are thus relative rathe r<br />
than absolute. Conversion to absolute density<br />
can be made either from measurement of tar -<br />
get strengths or by direct comparison of<br />
320