x. zhang and r. j. weber georgia institute of technology calnex data analysis workshop
DESCRIPTION
Measurements of light absorption spectra of fine particle aqueous extracts during CalNex at the Pasadena ground site . X. Zhang and R. J. Weber Georgia Institute of Technology CalNex Data Analysis Workshop May 16-19, 2011 Sacramento, CA. - PowerPoint PPT PresentationTRANSCRIPT
Measurements of light absorption spectra of fine particle aqueous extracts during CalNex
at the Pasadena ground site
X. Zhang and R. J. Weber
Georgia Institute of Technology
CalNex Data Analysis Workshop
May 16-19, 2011
Sacramento, CA
Real-time light absorption spectral measurement
(Hecobian et al., 2010)
Long Optical Path Spectrometry With Liquid Wave guides (LWCC)
1 meter Waveguide Capillary Cell
• Complete absorption spectra (200 – 800nm) was saved every 15 min• Absorption coefficients at selected wavelengths (365nm, 700nm) were saved every 60 sec
Simultaneous measurements of soluble particle absorption spectra and carbon mass
Choice of wavelength: λ = 365nm
λ = 365nm : Absorption averaged between 360 and 370nm
λ = 700nm: Reference wavelength
HULIS
• Soluble Brown Carbon, specifically associated with HULIS (Lukacs et al., 2007);• Avoid interferes from other species: e.g. Nitrate;
(Hoffer et al., 2006)
Nitrate
-15x10-3
-10
-5
0
5
10
Abs
orpt
ion
6:00 PM6/2/2010
9:00 PM 12:00 AM6/3/2010
3:00 AM 6:00 AM
Blank measurement
λ = 700
λ = 365 Absorption coefficient at 365nm (Abs365)
Absλ = (A λ – A700)Vl
Va · l· ln(10)
Unit: m-1
Sources of brown carbon: PMF result on FRM filters
• Biomass burning;• Primary emissions from vehicle;• SOA formation (WSOC/Oxalate);
Major sources of Brown Carbon (Abs365) in the southeast:
(Hecobian et al., 2010)
PMF analysis on 900 FRM filters collected at 15 sites in SE US
Possibly related to aqueous SOA formation/chemical aging – oxalate and brown carbon peak hours after WSOC peak on diurnal average from online dataset in Atlanta.
Biomass Burning
ResidualRefractory MaterialWSOC/Oxalate
Ammonium Sulfate/WSOCMobile Sources
13
12
11
10
9
8
WS
OC
p/C
O
6:00 AM1/1/1904
12:00 PM 6:00 PM
0.12
0.11
0.10
0.09
0.08
Oxa
late
/WS
OC
p
400x10-9
380
360
340
320
300
280
260
Abs
365 /WS
OC
p
Abs/WSOCp
Oxalate/WSOCpSunrise Sunset
WSOCp/CO
3
2
1
0
WS
OC
, µgC/m
-3
6/3/2010 6/5/2010 6/7/2010 6/9/2010 6/11/2010 6/13/2010 6/15/2010PDT Local Time
4x10-6
3
2
1
0
Abs
365,
m-1
4
3
2
1
0
RS
D_W
SO
C, µgC
/m-3
5/21/2010 5/26/2010 5/31/2010 6/5/2010 6/10/2010PDT Local Time
4x10-6
3
2
1
0
RS
D_A
bs36
5, m
-1
WSOC and brown carbon during CalNex
Caltech site: Jun. 01 – Jun. 15
Abs365WSOC
Riverside campus: May. 17 – Jun. 14
1.4x10-6
1.2
1.0
0.8
0.6
Abs
365,
m-1
6:00 AM 12:00 PM 6:00 PMLocal Time (PDT)
0.9
0.8
0.7
0.6
0.5
EC
, µgC/m 3
2.0
1.8
1.6
1.4
1.2
1.0
0.8
0.6
WS
OC
, µgC/m 3
CalNex: mass absorption efficiency
Abs365
WSOCEC
“primary” secondary
4x10-6
3
2
1
0
Abs
365
Sec
onda
ry
43210WSOC Secondary
Slope = 7.1e-007 R
2 = 0.38
αabs = 0.71 m2/g
Mass absorption efficiency (αabs) ΔAbs365/ ΔWSOC
Small compared to αabs for soot ~ 7.5m2/g (Bond and Bergstrom, 2006)
at 360-370nm
Mass absorption efficiency: LA compared with Atlanta
0.50
0.45
0.40
0.35
0.30
0.25
EC
, µgC
/m3
6:00 AM 12:00 PM 6:00 PM
7.5x10-7
7.0
6.5
6.0
5.5
5.0
Abs
365,
m-1
2.3
2.2
2.1
2.0
1.9
1.8
WS
OC
, µgC/m
3
Abs365
WSOCEC
Gatech campusin Atlanta, Aug. 2010
primary secondary
4x10-6
3
2
1
0
Abs
365
Sec
onda
ry
43210WSOC Secondary
Slope = 7.1e-7 Slope = 1.8e-7
LA fresh secondary WSOC is much more light-absorbing than Atlanta
Mass absorption efficiency
ATL: αabs = 0.18 m2/g
LA: αabs = 0.71 m2/g
LA 4 x higher
DAbs
Angström exponent
Wavelength dependence of the absorption coefficient
αab = K · λ-Å
For ambient aerosol Å ~1: black carbon (absorbs at all wavelength) Å ~2: ambient biomass burning aerosol (Kirchstetter et al., 2004) Å ~3.5: polluted region in China (Yang et al., 2009)
3.0x10-6
2.5
2.0
1.5
1.0
0.5A
bsor
ptio
n
440400360320Wavelength
2
3
4
567
10-6
2
3
Abs
orpt
ion
460440420400380360340320300Wavelength
Plot on Ln-Ln scale
Slope = -Å
For liquid extracts (this study) Å ~7: water-soluble HULIS (Hoffer et al., 2006) Å ~7-16: smoldering smoke (Chen and Bond, 2010) Å ~7: fresh limonene SOA (Bones et al., 2010) Å ~4.7: aged limonene SOA (Bones et al., 2010) Å ~6-8: FRM filters in SE US (Hecobian et al., 2010)
Variation of Angström exponent
Example: 6.3.2010 – high concentration of Abs365
• Å varies between 2 and 5.5, lower during daytime and higher at night; Å increased from “fresh” to “aged” SOA?
• Å derived from online measurement significantly lower than Å from filter-based measurement (discussed in the next slide);
2.0
1.8
1.6
1.4
1.2
1.0
0.8
0.6
EC
, µgC/m
3
12:00 AM6/3/2010
6:00 AM 12:00 PM 6:00 PM 12:00 AM6/4/2010
3.0
2.5
2.0
1.5
1.0
0.5
WS
OC
, µgC/m
3
6
5
4
3
2
Ang
stro
m E
xpon
ent
Angstrom exponent WSOC EC
Filter-based vs. online absorption measurements
Possible artifacts of filter-based brown carbon measurement:• Storage: 1-yr in the freezer leading to changes?• Extraction: extraction/sonication leading to degradation of larger chromophores which absorb light at higher wavelengths? (Sun et al., 2007)• Time resolution: filter liquid extracts sit for 1-2 days before analysis
Comparing Absorption coefficient (Abs365) and Angström exponent
• Some underestimation of Abs365 by high-vol filter;• Online and filter Å quite different; For filter less absorption at higher wavelengths;
3.0x10-6
2.5
2.0
1.5
1.0
0.5
Abs
orpt
ion,
m-1
440400360320Lambda
Online average 6/3 Filter 6/3
-16.0
-15.5
-15.0
-14.5
-14.0
-13.5
-13.0
LN(A
bs)
6.16.05.95.85.7LN(lambda)
Å = 3.3
Å = 7.7
CalNex Hivol Filter
CalNex Online
Summary and Implications
Summary
Why care about Brown Carbon? • Generally not thought to have effect on radiative forcing due to small mass
absorption efficiency (Andreae & Gelencser, 2006), BUT• SOA properties, source and evolution: - Component of fresh anthropogenic SOA (related to aromaticity?) (Sun et al., 2007),
useful for contrasting SOA in different urban settings (e.g. LA vs ATL); - Dissolve in liquid droplets, affect cloud absorption (Mayol-Bracero et al., 2002) & useful to study heterogeneous processing;
• Major sources of brown carbon during CalNex is SOA formation and mobile emission ;• Fresh LA WSOC is ~4 times more light-absorbing than fresh ATL WSOC, possibly due to a
larger fraction of anthropogenic aerosol in LA;• Angström exponents lower during daytime and higher morning and night (evidence for
anthropogenic SOA evolution?);• Filter-based measurement not consistent with online measurement (more experiments)
Future work/collaboration• Try to find correlation between brown carbon and specific SOA component?