emerging sensor technologies for linking optical, biogeochemical, … · 2012-07-12 · mike...
TRANSCRIPT
Mike Twardowski
WET Labs, Inc.
Narragansett, RI
Emerging sensor technologies for linking optical, biogeochemical,
biological and ecological properties
www.wetlabs.comwww.wetlabs.com
www.wetlabs.comwww.wetlabs.com
Science Challenges
• What are the sources of backscattering?
• How can we get more than chl?
• Why do closure attempts usually fall short
of expectations?
• At what temporal/spatial scales do optical
properties need to be resolved in
coastal/inland waters for algorithm
development/validation?
Technical Challenges
• VSF measurements
• Polarized scattering
• Better characterization of optically
relevant particles
• Better analytical models for particle
scattering
• Better assessments of measurement
biases and uncertainties
• Spatial and temporal sampling at
relevant scales
• Measurements in very high turbidity
MASCOT: VSF (10:10:170 deg; 658 nm) ECOVSF: VSF (60 to 170 deg; multi- ) ECOBB3: VSF (124 deg; 470, 532, 650 nm) LISST: VSF (0.08 to 13 deg; 650 nm) AC9: absorption and attenuation (9 ) SBE49 CTD
VSF Measurement Considerations
5+ orders of magnitude variation in intensity from the near-forward to backward in single VSF
several orders of magnitude natural dynamic range in intensity at any single angle
rapid temporal variability in particle fields in surface waters
rejecting ambient light is challenging at surface, particularly for low scattering signals in the backward
calibration without absolute “standard”
Phase functions from Scripps Pier
1 – background
2 – mineral laden
3 – bubble laden
90 min record
Twardowski et al. 2012
inversion
Minerals
Bubbles
Colloids
Phase functions of randomly oriented asymmetric
hexahedra (mineral-mimicking)
monodispersions with radius 0.01 to 162 um, log spaced
Discrete Dipole
Approx
(DDA)
and
Improved
Geometrical
Optics Model
(IGOM)
Twardowski et al. 2012
Bubbles from Inversion
single bubble theory
• First time the theoretical bubble VSFs
have been verified with in-situ
measurements
• Currently the only method of resolving
small bubbles in seawater
• Backscattering is higher with coating
Bubbles resolved with optics and acoustics
23 and 10 kHz
acoustic signal
from bubbles sizes
143 and 332 m
large bubble
size class from
inversion
Outline Instrumentation Deployment Modes Results I Results II
200 600 1000 1400 1800 2200
Time (s)
4
3
2.5
Bu
bb
le c
on
ce
ntr
atio
n
(/m
L)
Pa
rtic
le c
on
ce
ntr
ation
(/m
L)
(c)
200 600 1000 1400 1800 2200
Bu
bb
le c
on
ce
ntr
atio
n
(/m
L)
60
10
1
100
11
200 600 1000 1400 1800
Bubbles in a Ship wake (Comparison among instruments)
HOLOSUB: Segmentation & Edge detection Particle concentration [8.5 µm, 250 µm]
Acoustic resonator: Bubble size concentration [13 µm, 250 µm]
VSF inversion: Bubble concentration
Log-normal population,
Mode: 10 µm, S.D.: 1.1 µm
Twardowski, Talapatra, Czerski, Vagle
Polarized scattering measurements
0 50 100 150
-0.2
0
0.2
0.4
0.6
0.8
-S12/S11
de
gre
e o
f lin
ea
r p
ola
riza
tio
n (
-S1
2/S
11
)
1m binned data
C
angledegre
e o
f lin
ea
r
pola
rizatio
n
ideal
Rayleigh
-S12
S11
B
angle
Santa Barbara
Channel
Sept, 2008
90 m
particle
max
10-4
10-3
10-2
10-1
100
-120
-100
-80
-60
-40
-20
0
beta(theta)
de
pth
(m
)
10°
20° 30°
A
depth
(m
)
(m-1 sr-1)
0 50 100 150
-0.2
0
0.2
0.4
0.6
0.8
-S12/S11
de
gre
e o
f lin
ea
r p
ola
riza
tio
n (
-S1
2/S
11
)
1m binned data
C
angledegre
e o
f lin
ea
r
pola
rizatio
n
ideal
Rayleigh
-S12
S11
B
angle
-S12
S11
B
angle
Santa Barbara
Channel
Sept, 2008
Santa Barbara
Channel
Sept, 2008
90 m
particle
max
10-4
10-3
10-2
10-1
100
-120
-100
-80
-60
-40
-20
0
beta(theta)
de
pth
(m
)
10°
20° 30°
A
depth
(m
)
(m-1 sr-1)
10-4
10-3
10-2
10-1
100
-120
-100
-80
-60
-40
-20
0
beta(theta)
de
pth
(m
)
10°
20° 30°
A
depth
(m
)
(m-1 sr-1)
Observed polarization during periods of bubble injection
in the near-surface
0 20 40 60 80 100 120 140 160 180
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
S12/S
11
angle
Lorenz-Mie Theory
measurements
Multi-angle airborne polarimeter
Chowdhary et al. 2012
62 m
altitude
410 nm 550 nm
Closure assessments usually don’t work…
• For measurements: Absorption is typically largest source
of uncertainty (scattering error and flow cell required)
– McKee-Piskozub making progress on scattering error
• Disruption of aggregates (e.g., Boss et al. 2009)
• Hyperspectral backscattering
• Are the assumptions used in modeling and
measurements valid?
– Randomly oriented particles…?
Need better characterization of
undisturbed optically relevant particles
0
0.2
0.4
0.6
0.8
1
1.2
0 20 40 60 80 100 120 140 160 180 200
Wa
Scattering Angle (deg)
r=1.0
r=0.999
r=0.998
r=0.995
r=0.990
r=0.985
r=0.980
r=0.970
r=0.960
r=0.950
Modeled weighting functions for reflective tube absorption scattering error
McKee and Piskozub, unpub.
Marcos et al. 2011
Nonrandom particle distributions completely change our
interpretation of radiative transfer
Adding shear to a
culture of E coli
increased
backscattering 30%
, ’ ’
In situ holographic microscope: HOLOCAM
3-D imaging of particles from
<1 to 1000 µm size range in
undisturbed, in-situ volumes
WET Labs HOLOCAM JHU prototype
• size and shape parameters of particles
characterized in an undisturbed remote
volume in every image
• orientation of all particles
• 3-D relative location of all particles
• particle tracking
• possibly some particle density
characterization also SPM
• shear and turbulent dissipation rates
Malkiel
et al.
(2003)
Simple bench top inline DHM
30 cm
cuvette
CCD
camera
spatial
filter
20X
objective
CW
laser
CW laser good for quiescent solutions
A Free-Drifting Submersible Digital Holographic
Imaging System (Holosub)
PROTOTYPE TO HOLOCAM
Joe Katz (Johns Hopkins University)
a b C
4
8
12
16
22.4 22.6 22.8 23σt (kg/m3) Shear rate (/s)
400 800
Dep
th (
m)
-0.1 -0.06 0 0.04Small Particle Count (/ml)
Dissipation rate (m2/s3×10-7)1.0 1.2 1.4
East Sound, WA, USA May, 2010
pulsed laser
PIV
water density
PSD
particle
concentration
Talapatra et al., in review
Long diatom chains
6 ml sample volume
Eucampia
Chaetoceros
socialis
(~1 mm)
Pseudonitzchia
preferential
orientation!
4.2 m 3.1 m
15.8 m 6.7 m
22.4 22.6 22.8 23Density - 103 (kg/m3)
C
Shear rate (/s)
ba
20 40 60Angle (Degrees)
4
8
12
16
Dep
th (m
)
(II)
(I)
(III)
-0.1 -0.06 0 0.04
Diatom Mean chain Length (mm)1.0 2.0 1.0 2.0 3.0 4.0
Diatom chain count (/mL)
1.0 1.2 1.4
Dissipation rate (m2/s3×10-7)
Most of the water column shows statistically
significant deviations from a randomly
oriented particle field!
Talapatra et al., in review
Next Generation Submersible Holocamera
sample volumes:
10 L high mag
2.25 mL low mag
1 m
Concept for sampling effects of orientation
Polarization and orientation
Pseudonitzschia
Sampling resolution: LOBO Land/Ocean Biogeochemical Observatory
Small mooring system
Hourly, real-time observations
Maintenance cycle ~ 4 months
Instrumentation • Temperature, Conductivity, Pressure, Dissolved O2,
Chlorophyll and phycobiliprotein pigment fluorescence,
DOM fluorescence, Turbidity
WET Labs – SeaBird WQM
• Nitrate – Satlantic SUNA sensor
• Phosphate – WET Labs CYCLE sensor
• Ammonium – WET Labs CYCLE sensor
• Wireless telemetry via cellular phone
Emphasis on high quality, accuracy, and reliability
(x,y,z,dt)
Autonomous Moored Profiler (AMP)
High resolution sampling
of the full water column
Maintenance cycle 1-2
months
150 meter capable
Featured design for OOI
The AMP design evolution
represents over a decade of
commitment.
Dep
th (
m)
Salinity
(x,y,dz,dt)
Sullivan et al. (2010)
Cont. Shelf Res. 30: 50-65 decimal day (PDT)
Monterey Bay 2002
Monterey Bay 2005
Resolving phytoplankton dynamics with AMP
highly motile dinoflagellates non-motile diatoms
decimal day (PDT)
2005
physics
behavior
2002
Underlying Mechanisms
Mapping optical properties with a towed
vehicle (DOLPHIN)
tow 1
tow 4
(dx,dy,dz,dt)
Hudson River plume
Thank you!