sounds in the sea.ppt
TRANSCRIPT
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Sounds in the sea
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Snapping shrimp• Major source of biological noise in shallow
temperate and tropical waters• 20 dB above the noise level typical of sea state 6• Little diurnal and seasonal variations • Broad frequency extent • Extremely difficult to filter this noise• Can severely limit the use of underwater
acoustics • Interfere with the transmission and reception of
sounds by other animals
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Shrimp dominated ambient noise
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A single snap
Intensity 10 -20 dB higher than dolphin echolocation click
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How sound is produced• Not claw hitting stationary mate • Cavitation
– Water moves above a critical speed and experiences a drop in pressure
– Allows tiny air bubbles in the fluid to swell– Fluid slows and the pressure again rises, the bubbles
implode– Generates a shock wave and an accompanying
sound• Tooth-shaped piece on the moving part of the
claw plunges through a hole in the stationary part, shooting out a jet of water fast enough to cause cavitation
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Snapping shrimp
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Shrimpoluminescence
High temperature and pressure in bubble as it collapsesToo brief to be seen with the naked eye
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Rain• Major role in heat and water budgets• Accurate measures over ocean almost non-existent• Noise distinct from wind
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Quiet
Heavy rainfall
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How rain sound produced?
• Impact of drop on sea surface• Formation of bubble underwater
– Most often loudest source– Bubble not in equilibrium so it radiates sound
while reaching equilibrium• Changes in drop size change shape of
splash and bubble and thus, sound production
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Small drop
High resonance (ringing) frequency
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Large drop
Low resonance (ringing) frequency
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Acoustic rain gauge
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Humpback whale chorusing
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Humpback whale song• “Most complex display in animal kingdom”• Singers lone, stationary males• Winter mating grounds• Structured
– Phrases organized into themes in sequences– All males sing same song in one area– Song evolves over season
• Function?– Sexual advertisement– Physical male-male competition– Territory defense
• Production mechanism?– Have larynx but no vocal chords– Do not exhale to produce sound
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Au et al 2000
Humpback whale chorusing levels
Dominant source of noise
In Hawaii from ~Jan-AprilSong levels recorded on 1 hydrophone over 4 monthsChorus of many whales not in synchrony
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Diel variability in chorusing level
Few whalesLevels below 110 dB
Peak whale abundance
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Reasons for diel variability?
• Whales singing louder at night• More singers at night• Moving closer to hydrophone at night
(nearshore)• Cannot be separated with one hydrophone
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Ships/propellers
on-axis source level spectra of cargo ship at 8 & 16 kts measured directly below ship B – propeller Blade rateF – diesel engine Firing rateG – ship’s service Generator rate
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Application – Manatee collisions• Hearing peak 16-18 kHz• Dominant vessel <1 kHz
Gerstein and Gerstein 2004
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Manatee management• Slow vessel down• Lowers intensity of sound and frequency• Large vessel
– 3 mph detectable 2 to 3 seconds (12 - 18 feet) away from the propellers (hull of the boat extends 24 feet ahead of the propellers)
– 24 mph detectable 16 seconds (650 feet) before propellers
• Small boat– 3-4 mph detectable 6 to 24 feet from the propellers– 24 mph detectable 600 feet from the propellers.
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Speed effects on vessel noise
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Ship speed and source level
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Vessel shadowingEffect strongest close to the surface
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Vessel shadowing
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Measuring sounds in the seaSampling rules
• Convert analog (voltage) signal to digital– Nyquist frequency rule
• Sampling frequency must be at least twice that of the highest frequency component of the signal
• The signal can be fully recovered from the sampled signal
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fs = 8 fa
fs =1.5 fa
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fs=1/t
Aliasing fa=7/8 fs
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Digitization
• Digital signals made up of bits• Each bit is a 0 or 1• At most, digitizer can represent 2n values
where n is the bit rate• Dynamic range
– Dynamic range (dB) = 20 log (2n) ≈ 6 n• 12 bit A-D converter
– 4096 values– 72 dB dynamic range
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Hardware
• Pre-filter– Remove constant noise– Cut off above Nyquist frequency (Anti-
aliasing)• Pre-amplifier
– Improve analog signal/noise ratio– Improve dynamic range
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Finite Fourier Transform
(FFT)• Represent signal
in time or frequency domain
• All signals can be described as the sum of a series of sin and cos waves of varying frequencies and amplitudes
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FFT examples
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Duration and bandwidth
Each signal is 100 kHz