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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

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