ORE 654 Applications of Ocean Acoustics Lecture 6b Ocean Noise

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ORE 654 Applications of Ocean Acoustics Lecture 6b Ocean Noise Bruce Howe Ocean and Resources Engineering School of Ocean and Earth Science and Technology University of Hawai’i at Manoa Fall Semester 2011 05/25/22 1 ORE 654 L5

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ORE 654 Applications of Ocean Acoustics Lecture 6b Ocean Noise. Bruce Howe Ocean and Resources Engineering School of Ocean and Earth Science and Technology University of Hawai’i at Manoa Fall Semester 2011. Noise. Noise spectra NL = 10 log(/I ref ) dB re 1 μPa 2 /Hz Classic - PowerPoint PPT Presentation

Transcript of ORE 654 Applications of Ocean Acoustics Lecture 6b Ocean Noise

Page 1: ORE 654 Applications of Ocean Acoustics Lecture 6b Ocean Noise

ORE 654Applications of Ocean Acoustics

Lecture 6bOcean Noise

Bruce HoweOcean and Resources Engineering

School of Ocean and Earth Science and TechnologyUniversity of Hawai’i at Manoa

Fall Semester 2011

04/21/23 1ORE 654 L5

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Noise• Noise spectra• NL = 10 log(<Inoise>/Iref)

dB re 1 μPa2/Hz

• Classic“Urick” curves

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Ship noise

• Radiated sound

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Low frequency noise - wind

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Station ALOHA, 20 months

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Bioacoustic sound

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D’Spain

Offshore a military training base

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Measuring wind and rain

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Wind

Rain

Rain

Nystuen

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Large whales – using SOSUS

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Andrew, Howe, and Mercer

Annual average

All – 6 yrs

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Bowhead and beluga whale and walrus sounds

• Spectrogram of under ice

• northernBering Sea in May 2007

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159th Meeting of the Acoustical Society of America Spring 2010:

Baltimore

Comparison Wenz vs APL vs Ross Ross: Mechanics of Underwater Noise (1976)Ross: Mechanics of Underwater Noise (1976)

& Acoustics Bulletin (1993) & Acoustics Bulletin (1993)

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Simplified noise spectra

• Low frequency flow turbulence/seismics/wave-wave

• Shipping• Wind/waves

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Simplified noise spectra - terms• Turbulence/microseisms• Shipping• Wind/waves• Thermal

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NLS1 = 17 - 30(log f)

NLS2 = 40 + 20(D - 0.5) + 26(log f) - 60(log(f + 0.03)

NLS3 = 50 + 7.5 w1/2 + 20(log f) - 40(log(f + 0.4)

NLS4 = -15 + 20(log f)

NLSAll = 10 log(10NLS1 /10 +10NLS2 /10 +10NLS3 /10 +10NLS4 /10 )NL = NLS + 10 log BW

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Noise• Noise spectra• NL = 10 log(<Inoise>/Iref)

dB re 1 μPa2/Hz

• Bandwidth Δf• BW = 10 log Δf

• Total noise level NLtotal = NL + BW

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SNR BudgetAcoustic Signal-to-Noise Ratio (SNR) Calculation

Enter values in yellow boxes

Valueunits ValueUnits

Acoustic source level 262W 195.0dB re 1 microPascal at 1 mRange - spherical spreading 10000m -80.0dBAbsorption for center frequency 10000Hz -10.8dB

Scattering loss (3 dB/bounce) 0bounces 0.0dBTotal received signal 104.2dB

Noise level 10000Hz 52.0dB/HzNoise in rms bandwidth 1000Hz 30.0dB Total Noise 82.0dB

Received SNR 22.2dB

Coherent processing time 0.1sProcessing gain 20.0dB

SNR - 1 receiver 42.2dB

SNR - n receivers 1 42.2dB

Travel time precision 0.024351ms

Sound speed precision 0.005479m/sTemperature precision 0.001370KRange precision 0.036526mN digits 100digitsTime per digit 1msCycles per digit 10cycles

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SNR =SL−TL−αR−(NL + BW)+ PG

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Rms precision of peak locations

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β f = 2π ( f − f0 )2 ϒ( f )⎢⎣ ⎥⎦2df

0

∫⎡

⎣⎢

⎦⎥

1/2

rms bandwidth

β t = 2π (t − t0 )2 γ (t)⎢⎣ ⎥⎦2dt

0

∫⎡

⎣⎢

⎦⎥

1/2

rms time duration

βφ = 2π (x − x0 )2 In (x)dx0

∫⎡

⎣⎢

⎦⎥

1/2

rms antenna length, x in λ

SNRa ≡2E

Namplitude SNR

σ t =1

β f; σ ν =

1

β t; σ φ =

1

βφhalf peak widths - time, Doppler, angle

σ t ' ==σ tSNRa

; σ ν ' ==σ νSNRa

; σ φ ' ==σ φSNRa

peak precisions

σ t ' =1

f0SNRaif high SNR, can use phase/carrier frequency