- N. Ross Chapman and Yong-Min
N. Ross Chapman and Yong-Min Jiang University of Victoria, - - PowerPoint PPT Presentation
N. Ross Chapman and Yong-Min Jiang University of Victoria, - - PowerPoint PPT Presentation
N. Ross Chapman and Yong-Min Jiang University of Victoria, Victoria, BC, Canada Chapman and Jiang ASA156, Miami, Florida, 10 14 November 2008 Estimate sediment attenuation from single bounce reflections from sea bottom and sub- bottom
Estimate sediment attenuation from single bounce reflections from sea bottom and sub- bottom
- Experimental site & set up
- The method of estimating sediment attenuation
- Data processing
- Supporting parameters in estimating attenuation
- Discussion of the results
- Conclusions and future works
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
Moray site
- Varying source depth + VLA to
ensure angular coverage
- Water depth ~ 79m
- Range ~ 230m
- Source depth: 15-65m in 10m
steps
- Receiver depth: 14.25-70.5m @
3.75m Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
,
) ( 2 1
2 1 r
r bott b
w
e r r V p p
+ −
+ =
α
3 4 5 6
( ) ( ) ( ) 3 4 5 6
( )
w s
r r f r r ws sw s sb
p T T V p e e r r r r
a a
- +
- ·
+
= + + + ) ( ) ( ) / log( 20
6 5
f r r b p p
s sb b '
α
- +
+ =
- From data
Constant under frequency independent assumption and ignori the attenuation in the water Estimated at different frequencies by band pass filtering the signal
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
Sea bottom reflection Sub- bottom reflection
Signal frequency band 1500~4500Hz
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
Signals after band passing fo=1750-4150Hz, 200Hz separation
fo=1750 Hz fo=2550 Hz
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
The slope = (r5 + r6)*α’s, where (r5 + r6) is the path length in the sediment, α’s is in dB/m.kHz α(λ) = α’s *cs/1000 cs is the sound speed in the sediment, α(λ) is in dB/λ
1000 2000 3000 4000 5000 5 10 15 20 25 30 35
Frequency (Hz) Amplitude (dB)
Difference of bot. & sub-bot., 06243145200, iphone:11, zs=45.0m, zr=33.00m
Need to be inverted
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
- Invert for water depth, range, source depth and array tilt fro
SD=65m data;
- Invert for water column SSP for desired source depth data;
- Invert for sediment sound speed and layer thickness by us
inverted geometric parameters and SSP in the water;
- optimal inversion approach
- use of travel time information
- forward model is based on ray theory
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
1 1.5 2 2.5 3 3.5 4 4.5 5 5 10 15 20 25 30 35
Frequency (Hz) Amplitude ratio(dB)
iphone:13, zs=35.0m, zr=26.00m, a=8.72024 1 1.5 2 2.5 3 3.5 4 4.5 5 5 10 15 20 25 30 35
Frequency (Hz) Amplitude ratio(dB)
iphone:12, zs=35.0m, zr=29.75m, a=8.30714
Receiver depth = 26m Receiver depth = 29.75m
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
Sediment Sound speed: 1602.2 m Sediment layer thickness: 20.8m RD: 26.00 m Path length in the sediment: 95.1 m RD: 29.75 m Path length in the sediment: 97.8 m
50 100 150 200 250 10 20 30 40 50 60 70 80 90 100 Depth (m) Range (m) Ray prediction from the inversion
Source=35m 22.25m 26.00m 29.75m 33.50m 37.25m 41.00m 44.75m 48.50m 52.25m Sea bottom Sub-bottom
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
Source depth (m) 35 45 Receiver depth (m) 26.0 29.75 26.0 33.5 Attenuation (dB/m•kHz) 0.092 0.085 0.101 0.088 Attenuation (dB/λ) 0.15 0.14 0.16 0.14
- The signal fluctuation caused by the variable water
environment and the interference of the reflections of fine structure in the sediment
- The errors of sediment sound speed and layer thickness
estimates introduced by travel time picking
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
- Office of Naval Research: for sponsoring the research
- Drs. William Hodgkiss and Peter Gerstoft from MPL: acoustic
data
- The uncertainty analysis of the estimate
- Compare with the circle data at ‘Moray’ site and SWAMI 32 site
- The marine sediment sound attenuation at low frequency can
be estimated from single bounce sub-bottom reflections
- The estimated attenuation values are consistent with previous
result done in the vicinity by use of transmission loss inversion (Carey)
- The method could be used for future experimental design
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
1 1.5 2 2.5 3 3.5 4 4.5 5 5 10 15 20 25 30 35
Frequency (Hz) Amplitude ratio(dB)
iphone:13, zs=45.0m, zr=26.00m, a=11.28274 1 1.5 2 2.5 3 3.5 4 4.5 5 5 10 15 20 25 30 35
Frequency (Hz) Amplitude ratio(dB)
iphone:11, zs=45.0m, zr=33.50m, a=10.52286
Receiver depth = 26.0 m Receiver depth = 33.5 m
Chapman and Jiang ASA156, Miami, Florida, 10 – 14 November 2008
50 100 150 200 250 10 20 30 40 50 60 70 80 90 100 Depth (m) Range (m) Ray prediction from the inversion
Source=45m 22.25m 26.00m 29.75m 33.50m 37.25m 41.00m 44.75m 48.50m Sea bottom Sub-bottom