Presentation is loading. Please wait.

Presentation is loading. Please wait.

Sergio Jaramillo Uribe Geno R. Pawlak University of Hawaii AUV-Based Observations of Rough Bed Hydrodynamics.

Similar presentations


Presentation on theme: "Sergio Jaramillo Uribe Geno R. Pawlak University of Hawaii AUV-Based Observations of Rough Bed Hydrodynamics."— Presentation transcript:

1 Sergio Jaramillo Uribe Geno R. Pawlak University of Hawaii AUV-Based Observations of Rough Bed Hydrodynamics

2 Reefs: Highly irregular/ rough bathymetry Turbulent processes affect: Waves/currents Sediment transport Nutrient dispersal Acoustics/optics The problem: Roughness scales How to relate hydrodynamic and physical roughness in reefs? Models assume homogeneous roughness. Need to measure spatial scales of roughness over a reef Roughness Spectra Nunes & Pawlak 2008: Vessel, diver surveys of bed roughness at Kilo Nalu

3 Objectives: Study area: Kilo Nalu Nearshore Reef Observatory, Oahu, Hawaii. REMUS AUV surveys 5 - 40m depth, 1 x 0.5km Sidescan: spatial context / bed classification Narrow beam altimeter: physical roughness Relate bottom type/roughness to currents Can we use DVLs to measure currents?

4 Instruments: Sidescan sonar (Marine Sonic Technology): 900 kHz, 6x12cm resolution Narrow beam altimeter (Imagenex): 2.5 degree beam spread, ~10cm res. DVLs (RD Instruments): 1.2MHz, 1m bins, 1Hz sampling rate REMUS (Remote Environmental Monitoring UnitS, Hydroid, Inc) Sidescan transducer CTD ADCP array Trim weights Altimeter LBL transducer Altimeter GPS antenna

5 Convert to geo coords Statistics (6x6m boxes) EOF Relate to Roughness AUV Sidescan Analysis

6 EOF variables: variance skewness entropy spectral slope anisotropy AUV Sidescan Analysis

7 Variance Skewness Spectral Slope Anisotropy + Entropy …

8 AUV Sidescan Analysis R 2 = 0.61 EOF 1: 53%

9 AUV Sidescan Analysis EOF modes 2 (18%), 3 (17%): anisotropy + spectral slope  Sand ripples EOF Mode 2

10 Ship/AUV based current measurements: (Fong & Monismith, 2004, Dereck & Fong, 2006) Known bias in vehicle's direction Need to assess data quality: Characterize bias Compare to fixed ADCPs

11 Velocity bias 5m 6m 7m 8m 9m 2.0m/s 2.5m/s 1.5m/s AUV speed + shoreward legs o seaward legs Should be closer (6min difference)

12 Bias velocity vs: Ambiguity velocity and Vehicle speed AUV speed 2.5m/s 2.0m/s 1.5m/s Should be close to zero Best result for our tests: AUV speed ~= Va = 2.5m/s

13 Bias mean profiles (6min difference) Along-track velocity Ringing Low SNR? Along-track bias ~1% of AUV speed => Navigation OK Currents NOT OK

14 DVL along-shore current profiles: NO bias observed KN2 Current vertical structure OK

15 Summary - Bottom classification: Sidescan EOFs separate sand, coral, rippled areas - Roughness measurements: Sand areas RMS < 3cm, Coral reef 8-14cm RMS - Velocity bias and DVL settings: Bias velocity (only along-track) ~ 1% of AUV speed Sensitive to ambiguity velocity setting Possible ringing + SNR decay with distance - Current profiles:Good agreement with fixed ADCP DVLs can resolve current vertical structure - Ongoing: Relate roughness/seabed type to currents More observations

16

17 Visual verification

18 Sand with ripples Coral


Download ppt "Sergio Jaramillo Uribe Geno R. Pawlak University of Hawaii AUV-Based Observations of Rough Bed Hydrodynamics."

Similar presentations


Ads by Google