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Marine Produce Australia: Cone Bay Barramundi Aquaculture ...

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efore smoothly decreasing to zero again and that the interval between low and<br />

high tides is approximately six hours. The rule states that in the first hour after low<br />

tide the water level will rise by one twelfth of the range, in the second hour two<br />

twelfths, and so on according to the sequence - 1:2:3:3:2:1. The rule, as generally<br />

applied, assumes that the period between high and low tides is six hours. For this<br />

project, the period varied between 5.3 and 7.2 hours. To improve accuracy, the rule<br />

was modified such that the water level is assumed to rise by one twelfth of the<br />

range during the first one sixth of the period between tides (approximately an hour),<br />

rather than during the first hour (precisely), and similarly for the remaining five<br />

sixths of the period between tides. In addition, a further offset of 0.5 m, consistent<br />

across the entire dataset, was added to the depth to account for the depth of the<br />

transceiver below the water. The rule of twelfths and transceiver depth corrections<br />

were calculated using a custom VBA Excel Macro.<br />

Table 2 Tide predictions for Derby (www.transport.wa.gov.au)<br />

Saturday 22nd Oct 2011 3.95m @ 1:46 AM<br />

8.31m @ 7:38 AM<br />

3.76m @ 2:31 PM<br />

8.14m @ 8:52 PM<br />

Sunday 23rd Oct 2011 4.19m @ 3:30 AM<br />

8.26m @ 9:52 AM<br />

3.69m @ 4:40 PM<br />

8.89m @ 10:58 PM<br />

Monday 24th Oct 2011 3.32m @ 5:33 AM<br />

9.24m @ 11:39 AM<br />

2.97m @ 6:03 PM<br />

2.4. Video analysis<br />

Geo Oceans customised Visual Basic software program ‘GO Video’ was used for<br />

video analysis that allowed the analyst to assign habitat attributes to the GPS<br />

location (position) where the video was recorded. A marine scientist trained in video<br />

analysis and habitat classification analysed the video footage in real-time (as the<br />

video is recorded). Position data were received at approximately 1-second intervals,<br />

and recorded in a database table, along with the biota and substrate attributes<br />

assigned using the GO Video software. These attributes include visually-assessed<br />

percentage cover estimates of the biota and substrate classes provided in Appendix<br />

1 and Appendix 2. Table 3 lists the attributes that were captured and geo-referenced<br />

using the video analysis software. Figure 1 shows the biota and substrate<br />

classification hierarchy used to group the attributes.<br />

The level of taxonomic detail recorded varied according to the video quality, which<br />

in turn was dependent on the environmental conditions (e.g. water visibility and sea<br />

state) and the speed at which the towed video was filmed. In all cases the video<br />

quality was adequate to make distinctions of the biota into the level 2 groups in<br />

Figure 1.<br />

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