FLOWBEC + RESPONSE

1. FLOWBEC + RESPONSE Beth Scott, Eric Armstrong, Chris Hall, Benjamin Williamson, James Waggitt, Philippe Blondel, Paul Bell – and more…

2. NERC / DEFRA projects on the potential impact of renewables RESPONSE DOWNWARD FACING acoustics EK60 multi-frequency + Observers to define seabird foraging habitat. FLOWBEC Creating new UPWARD FACING instrument with EK60 multi-frequency + Multibeam sonar to capture prey and seabird behaviour

3. FLOWBEC & RESPONSE research projects: • The research in these projects attempts to understand the exact mechanisms involved in how mobile marine predators (fish, birds and mammals) capture their prey. This allows us to understand in detail what sort of physical habitat characteristics these animals need to be present to successfully forage. • Will be able to predict on a range of spatial scales how renewable developments may effect individuals – and cumulative effects up to population

4. New Technical Design:FLOWBEC

5. Power Requirements Need to run continuously for 14 days No access to mains electricity All systems run on 12 Volts Lead acid batteries best capacity/power density/cost

6. Power Requirements Measured power drain of ~6 Amps (EK60 4.5A / MBES 1.5A) Initial switch on peak of ~ 9 Amps 14 days X 24 hours X 6A = 2016 Ah Batteries down rated by 50% to compensate for deployment in cold water (5-10°C) Giving a requirement for at least 4032 Ah

7. Power Megalight ML220C batteries (220 Ah) 20 batteries = 4400 Ah EK60 4.5A / MBES 1.5A EK60 15 batteries / MBES 5 batteries Recommended maximum of 6 batteries linked in parallel so 4 banks of 5 chosen

8. Each battery housing contains a pair of 12V 220Ah SLA batteries as shown on the left. The right figure shows the two high current charge lines, the two low current output connectors, the three position charge-off-output switch and the vent plug

9. Frame Requirements Stable Robust Immune to high tidal currents (~8 knots) Recoverable

10. Frame Marine Lab Workshop designed/built Stainless steel frame 2.8m X 3.2m X 1m 2 batteries per housing 10 stainless steel battery housings 42 cm dia. X 1.1m long Total weight of ~3.5 tonnes

11. A top-down view of the frame showing the relative positions of the MBES, MBES control housing and MBES battery bank. The approximate (un-calibrated) mounting orientation of the Scanmar inclination sensor (used during deployment only) and the inclination sensor (logged throughout the survey) are both shown.

12. EK60 operation Housing from EK500 system used on Autosub in 2000 New end cap manufactured 3 X EK60 GPTs (general purpose tranceivers) rebuilt by Simrad using components from an abandoned towed sounder project (SOC/St Andrews). ~20% of the cost of new units FitPC used for EK60 software, monitoring, control and data collection

13. FitPC 10cm X 10cm X 2cm Replaced HD with a low power SSD WiFi connection to an external aerial to allow data transfer and remote control from a laptop/netbook

14. Power Control and Monitoring board designed and built in-house (Jim Hunter) Switching from depleted battery set to fresh battery set Monitoring of temperature and moisture and removing power if required Separate monitoring of heading, tilt and depth

15. Power Control and Monitoring

16. Pitch and roll varied by less than 1° over the course of the deployment

17. Slide by Benjamin Williamson

18. Slide by Benjamin Williamson

19. Slide by Benjamin Williamson

20. Slide by Benjamin Williamson

22. Multi Beam Slide by Philippe Blondel and Benjamin Williamson

23. Ek60 Initial Results High velocity flow - large turbulence structures (with echo) Low velocity flow – fish schools?

24. Output FLOWBEC :Technical • ECUA paper now published on POMA: Williamson, B.J., Blondel, P., Multibeam imaging of the environment around marine renewable energy devices, IOA 11th European Conference on Underwater Acoustics (ECUA 2012), Edinburgh, Scotland, Jul 2012. http://dx.doi.org/10.1121/1.4772810 • Overview technical design (draft in progress) FLOWBEC – The design and deployment of a self-contained acoustic monitoring platform for mapping the environment around marine renewable energy devices. • Processing of MBES data (draft in progress) Multibeam imaging and acoustic analysis of the environment around marine renewable energy devices.

25. Output FLOWBEC: Ecological Post-doc and PhD – working on cleaning data and defining turbulence/noise signals so to be able to remove [mostly done] – so can see clearly fish and bird behaviour. • Processing of EK60 data (upon BW transfer to Aberdeen) Multi-frequency echosounder analysis of the environment, fish, diving seabirds and turbulence around marine renewable energy devices. • Data integration Integrating multibeam sonar, multi-frequency echosounder, marine X-band radar and bird observation data to map the environment around marine renewable energy devices. • New PhD joint with Prof Vladimir Nikora at UoA (fluid dynamic engineer) to use Turbulence data to define turbulence characteristics - for understanding animals usage and potential for design of turbine blades

26. RESPONSEforaging habitat: how to define? • Species specific habitat use? (fish, birds and mammals) • physical characteristics quantified? • NOTE – results presented in Response preformed by James Waggitt (PhD, Aberdeen) ALBANa Mara Marine Scotland Science

27. Mean numbers vs prevalence(few very high counts) (how often seen in location) 5 years of on-shore survey data

28. Use of zig-zag survey technique against the tidal flow • Speed of tide will determine speed over ground and area/ volume of water sampled • Sampled range of differentturbine types and depths

29. Foraging distributions (A) all seabirds (B) black guillemots n=231 (C) Atlantic puffins n=823 (D) common guillemots n=275

30. RESPONSE research projects: • The surface features that visual animals may use to identify areas of foraging such as roughness, convergent areas, shear lines. Surface features may also bias the visibility of marine animals to observational counts and we are performing analyses to correct for these biases.

31. A problem of detection in fast flows in rougher water?

32. Radar: Fine scale flow and 3-D habitat characteristics(Paul Bell, NOC, POL)

33. Roughness increases /decreases with tidal speed & direction

34. Locations of convergence/divergence & shear from MIKE 21 2-D data

35. EK60 facing downwards from vessel: detects prey and turbulence Sub-surface Turbulence associated with water boils (kolks) • Fish Shoal

36. Depth of turbulence at different directions of the tideFlood Ebb

37. Difference in turbulence around turbinestop increasing ebb, bottom max flood

38. Why is it important to Government policy /Developers / Energy Companies? • can predict physical effects of renewable developments on the oceanographic environment, • Therefore if we can link animal behaviour to physical aspects of the oceans, we can more accurately predict what (if any) the effects of renewable developments will have on the foraging success of marine animals. • Foraging success drives population dynamics as it controls adult and juvenile survival. • Short term, highly focused studies can lead to a rapid increase in our understanding and the research may ultimately allow us to separate the effects of any large scale renewable developments from climate change effects.

39. Output FLOWBEC + RESPONSE • 1) Detection issues – correction factors for fast water habitats • 2) habitat characteristics - what are the most important physical variables in tidal sites (and wave sites?) . • 3) What level of detail is needed to define – visual, acoustics,Mike21, radar? • 4) Risk of collision by understanding / quantified foraging behaviours in tidal (and wave sites?) – fish, birds, mammals? • 5) Large/far scale potential cumulative effects on populations of mobile predators

41. Mean number of actively foraging birds Black GuillemotDiving bird(Across wider range of tidal states and within relatively more laminar flow) Habitat TIDAL SPEED Artic Tern Surface feeder(mainly ebb tides and in habitat with boils & shear ) Habitat IE MaxE DE IF MaxF DF TIDAL SPEED