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The 2nd Workshop on Air Quality Modeling Challenges

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The 2nd Workshop on Air Quality Modeling Challenges Chemical Composition of Aerosols in the VMAP Network over Japan during the ACE-Asia Field Campaign 2001: What we need from modeling studies Mitsuo Uematsu ⁄¤‹› Center for International Cooperation Ocean Research Institute - PowerPoint PPT Presentation
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Page 1: The 2nd Workshop on Air Quality Modeling Challenges
Page 2: The 2nd Workshop on Air Quality Modeling Challenges

The 2nd Workshop on Air Quality Modeling Challenges

Chemical Composition of Aerosols in the VMAP Network over Japan during the ACE-Asia Field Campaign 2001:What we need from modeling studies

Mitsuo Uematsu ¤⁄ ‹›Center for International Cooperation

Ocean Research InstituteUniversity of Tokyo

Nakano, Tokyo Japan

At Tsukuba Convention Center Epochal, Tsukuba, Japan

10 March 2003

Page 3: The 2nd Workshop on Air Quality Modeling Challenges

SeaWiFS image (19 March 2002)

Volcanic PlumeFrom Miyake Is.

Region with High Marine Productivity

Biomass Burning

Biomass Burning

Asian Dust Storm

With Anthropogenic substances

Western NorthPacific Region

Page 4: The 2nd Workshop on Air Quality Modeling Challenges

Rishiri

Sado

Hachijo

Chichijima

Seoul

Kosan

Amami

30oN

40oN

20oN

10oN

50oN

60oN

160oE100oE 140oE120oE 180o

Midway

ACE-Asia Ground Station Network over East Asia

Fukue

Tango

Hong Kong

Beijing

Qingdao

Linan

Zhenbeitai

Lan-yu

Dunhuang

Page 5: The 2nd Workshop on Air Quality Modeling Challenges

Rishiri45.12˚N, 141.20˚E

Sado38.25˚N, 138.40˚E

Hachijo33.15˚N, 139.75˚E

Chichi-jima27.07˚N, 142.22˚E

Page 6: The 2nd Workshop on Air Quality Modeling Challenges

VMAP Ground Measurement Network

・Determine the latitudinal (along the 140˚E line) and the seasonal variability of chemical composition of aerosol from the Asian continent to the western North Pacific region.

・Determine the interaction among natural aerosols, anthropogenic aerosols and gasses during transport over the marginal seas and the western North Pacific region.

・ Reproduce the observation data by a regional chemical transport model (CFORS). Then estimate the outflow fluxes to eastward (AQPMS).

Page 7: The 2nd Workshop on Air Quality Modeling Challenges

Measurements

Aerosol PM2.5 OC/ECFine &Coarse Major IonsFine &Coarse Trace ElementsBulk Organic CompoundsBlack CarbonAerosol Number ConcentrationOzoneCOSO2RadonParticle Mass PM2.5 or 10 TEOMWeather Condition(Temp, Humid, Pres, Wind D&S, Ppt)

Rishiri

●●●

●○○

○△●  

Sado

●●(2001.11-)●(2001.11-)

●△△  

Hachijo

●●●○○○●

●○●●  

Chichi-jima

●●●○○●○

○△●

● (in operation by ORI); ○ (by others); △ (from EANET)

Instruments information

Page 8: The 2nd Workshop on Air Quality Modeling Challenges

(1) Organic Carbon/Elemental Carbon (Series 5400 Ambient Carbon Particulate Monitor R&P Co. Inc.)

(2) Number concentration of particles (KC-01, KC-18, Rion Co. Ltd.; TS-400 Hitachi Co.)

(3) Mass concentration of particles (Series 1400 TEOM, R&P Co. Inc.)

(4) Soluble ions and trace metals in particles (ACS21, AS9, Kimoto Electric Co Ltd.)

(5) Black Carbon (Aethalometer, Magee Scientific Co.)

(6) Ozone (Model1150, Dylec, Inc.)

(7) Sulfur dioxide (SA-631, Kimoto Electric Co Ltd.)

(8) Radon (Spectrum Analyzer)

(9) Dimethylsulfide (GC with cryo-trap system)

(10) Meteorological data

Present Status until June 2003

Page 9: The 2nd Workshop on Air Quality Modeling Challenges

HVDVI( High Volume Dichotomous Virtual Impactor)

air

Filter

To pump

Page 10: The 2nd Workshop on Air Quality Modeling Challenges

Ambient Carbon Particulate Monitor

Flow Schematic

With or without Denuder

Particulate Org. Cor Reactive Org. C

Page 11: The 2nd Workshop on Air Quality Modeling Challenges

0

0.5

1

1.5

2

2.5

3

3.5

0 0.5 1 1.5 2 2.5 3 3.5

filter_coarse

Na_C_tef

K_C_tef

Mg_C_tef

Ca_C_tef

Cl_C_tef

NO3_C_tef

SO4_C_tef

C_what

0

2

4

6

8

10

0 2 4 6 8 10

fine

Na_f_tef

NH4_f_tef

K_f_tef

Mg2_f_tef

Ca2_f_tef

Cl_f_tef

NO3_f_tef

SO42_f_tef

f_whatWhatman 41 Filter

Tef

lon

Fil

ter

Tef

lon

Fil

ter

Whatman 41 FilterCoarse Particles Fine Particles

Urban Aerosol in Tokyo

Page 12: The 2nd Workshop on Air Quality Modeling Challenges
Page 13: The 2nd Workshop on Air Quality Modeling Challenges

-2

0

2

4

6

8

4/1 4/11 4/21 5/1 5/11 5/21 6/1

HachijoChichi-jima

-2

0

2

4

6

8

4/1 4/11 4/21 5/1 5/11 5/21 6/1

RishiriSado

Co-variation of EC Concentration

in the Spring of 2001

Page 14: The 2nd Workshop on Air Quality Modeling Challenges
Page 15: The 2nd Workshop on Air Quality Modeling Challenges

Uno et al., in press, JGR

Page 16: The 2nd Workshop on Air Quality Modeling Challenges

Effect of Biomass Burning

Assuming nss-SO42- from biomass burning is negligible compared with f

ossil fuel combusion

[EC]measured = [EC]fossil + [EC]biomass

[EC]fossil = [EC/ nss-SO42- ] Episode 1, 2, 4 x [nss-SO4

2- ]measured

[EC]biomass = [EC]measured - [EC]fossil

0

0.5

1

1.5

2

4/1 4/3 4/5 4/7 4/9 4/11 4/13 4/15 4/17 4/19 4/21 4/23 4/25 4/27 4/29

EC Conc. (µgC/m3)

biomassfossil fuel

0

0.5

1

1.5

2

0 2 4 6 8 10

Episode1Episode2Episode4.17Episode3Episode4

nss-SO4

2- Conc. (µg/m3)

58-71% of OC and 66-76% of EC are contributed by biomass burning during Episodes at Rishiri

Page 17: The 2nd Workshop on Air Quality Modeling Challenges

0

2

4

6

8

TC Conc.(

µ

gC/m

3)

0

2

4

6

8

TC Conc.(

µ

gC/m

3)

0

2

4

6

8

TC Conc.(

µ

gC/m

3)

0

2

4

6

8

TC Conc.(

µ

gC/m

3)

Carbonaceous Aerosol Concetrations in the VMAP Network Through One Year From 2001

Rishiri

Sado

Hachijo

Chichi-jima

4/1 6/1 8/1 10/1 12/1 2/1 4/1

Page 18: The 2nd Workshop on Air Quality Modeling Challenges

-2

0

2

4

6

8

7/1 7/11 7/21 8/1 8/11 8/21 9/1

RishiriSado

Co-variation of EC Concentration

in the Summer of 2001

Page 19: The 2nd Workshop on Air Quality Modeling Challenges

Al and nss-Ca Concentration in the VMAP NetworkRishiri

Hachijo

Chichi-jima

Al C

onc.

g/m

3]

nss-Ca Conc. [μg/m3]

〔 R1〕

〔 R2〕〔 R3〕〔 R4〕

〔 R5〕

〔 H1〕

Coarse Al

Coarse nss-Ca

Page 20: The 2nd Workshop on Air Quality Modeling Challenges

Size Distribution and Variability of Enrichment Factor at Rishiri

0.6

0.7

0.8

0.9

1

ÅkR1Ål ÅkR2Ål ÅkR3Ål ÅkR4Ål ÅkR5Ål

AlCo

arse

/Al To

tal

0

0.5

1

1.5

ÅkR1ÅlÅkR2ÅlÅkR3ÅlÅkR4ÅlÅkR5Ål

Coarse FeEnri

chm

ent

Fact

ors

Page 21: The 2nd Workshop on Air Quality Modeling Challenges

Takla MakanDesert

Mongolia

Mu- us DesertTenggerDesert

JunggarDesert

China

Comparison of Enrichment Factors of Ca in the Sources and Aerosols at Rishiri an Hachijo

Takla Makan-Gobi

Ocher Plateau

[Kanamori et al., 1991]

(〔 R1〕除く)(〔 H1〕除く)

Page 22: The 2nd Workshop on Air Quality Modeling Challenges

Atmospheric Al Concentration over East Asia

[Makra et al., 2002] [Zhang et al., 2002]

[Ho et al., 2003] [Orlic et al., 1999]

[Yin et al., 2003]

Takla Makan

Singapore

Hong Kong

XiAn

Beijing

Page 23: The 2nd Workshop on Air Quality Modeling Challenges

Atmospheric Al Concentration Around Japan

Rishiri

Okushiri

Hachijo

Chichi- jima

Wajima

Isumo

Onna

Rishiri

Okushiri

Hachijo

Chichi- jima

Wajima

Isumo

Onna

[Tsunogai et al., 1985] spring period 1981 and 1982

Results of VMAP observations

Page 24: The 2nd Workshop on Air Quality Modeling Challenges

The 2002 IOC Western Pacific Cruise

Page 25: The 2nd Workshop on Air Quality Modeling Challenges

Western N. PacCentral N. Pac

Subtropical N. Pac

Midway

Enewetak

Fanning

Oahu

Shemya

Western N. PacCentral N. Pac

Subtropical N. Pac

Midway

Enewetak

Fanning

Oahu

Shemya

Results of IOC2002 Cruise

Over the North Pacific

[Uematsu et al.,1983]

Page 26: The 2nd Workshop on Air Quality Modeling Challenges

Event 1: May 4~8Event 2: May 12~14Event 3: May 17~19

Page 27: The 2nd Workshop on Air Quality Modeling Challenges

May 16-17 2002

Page 28: The 2nd Workshop on Air Quality Modeling Challenges

0.0

0.2

0.4

0.6

0.8

1.0

1.2

IOC1IOC2IOC3IOC4IOC5IOC6IOC7IOC8IOC9IOC10IOC11IOC12IOC13IOC14IOC15IOC16IOC17IOC18IOC19IOC20IOC21IOC22IOC23IOC24IOC25IOC26IOC27IOC28

Al conc. [µg m

-3]

0.0

0.2

0.4

0.6

0.8

1.0

NO

3- conc. [µg m

-3]

CoarseAl FineAl CoarseNO3- FineNO3-

Aluminum and Nitrate

Page 29: The 2nd Workshop on Air Quality Modeling Challenges

0.0

0.2

0.4

0.6

0.8

1.0

1.2

IOC1IOC2IOC3IOC4IOC5IOC6IOC7IOC8IOC9IOC10IOC11IOC12IOC13IOC14IOC15IOC16IOC17IOC18IOC19IOC20IOC21IOC22IOC23IOC24IOC25IOC26IOC27IOC28

Al conc. [µg m

-3]

0.0

0.5

1.0

1.5

2.0

2.5

3.0

nss-SO

42- conc. [µg m

-3]

CoarseAl FineAl Coarsenss-SO42- Fine nss-SO42-

Aluminum and Sulfate

Page 30: The 2nd Workshop on Air Quality Modeling Challenges

ng m -3 Coarse Fine Coarse Fine Coarse Fine Coarse Fine

Event 1 762 108 125 106 635 295 269 2354Fine (%)Event 2 263 43 10 53 221 156 143 1739Fine (%)Event 3 105 65 32 49 330 110 265 1861Fine (%)Normal 39 28 6 20 123 41 104 523

Fine (%)

Al

12

38

NO3- nss-SO 4

2-nss-Ca 2+

32 90

14 84 41 92

46

25 88

42 77 25 83

60

Average Concentrations of Each Event

Page 31: The 2nd Workshop on Air Quality Modeling Challenges

Prospero et al., J. G. R. (2002)

Midway Is.

Page 32: The 2nd Workshop on Air Quality Modeling Challenges

SO4

NO3

Mineral

MSA

Page 33: The 2nd Workshop on Air Quality Modeling Challenges

Anth-SO4 in Mar.With Dust.65% of Total SO4

Nat-SO4 in May75% of Total SO4

NO3 background conc. =0.20µg m-3

Anth-SO4

Nat-SO4

NO3

Page 34: The 2nd Workshop on Air Quality Modeling Challenges

Sakai, Osaka: (1986-1995): Ito and Mizohata (2000)

nssSO4: From 4.0 to 5.6 µg m-3 (x 1.4) NO3: From 2.16 to 2.57 µg m-3 (x 1.2)

Midway: (1981-1995): Prospero et al., (2002)

Anthro SO4: From 0.24 to 0.65 µg m-3 (x 2.7) Total NO3: From 0.38 to 0.58 µg m-3 (x 1.5)

Japan to Midway:

nssSO4: 6%-12% remained at Midway NO3:18%-23%

Page 35: The 2nd Workshop on Air Quality Modeling Challenges

What we need from modeling studies

•Identify new emission sources for aerosols •How to model sporadic events•Volcanic emission and its effects•Nitrate distribution and its deposition flux•Biogenic sulfur emission from sea surface•Long term trends of aerosol distribution•Reproduce rain events•Regional Models vs Global Models

Page 36: The 2nd Workshop on Air Quality Modeling Challenges
Page 37: The 2nd Workshop on Air Quality Modeling Challenges

7/8

Case1

Case1 利尻島 , 佐渡島 低濃度

7/31 8/1

Case3

Case3 利尻島 低濃度   佐渡島 高濃度 

Case2

7/127/11

Case2 利尻島 , 佐渡島 高濃度

地上天気図

Page 38: The 2nd Workshop on Air Quality Modeling Challenges

3. 炭素質エアロソルの発生源< 利尻島 >

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ǙDZÇÃÉsÉNÉ`ÉÉÇ å©ÇÈÇ…ÇÕïKóvÇ≈Ç∑ÅB

140130120 150 160

30

40

50 SIB

CHI

OKH

PAC-JPN

Longitude (ºE)

Lati

tude (

ºN)

0

10

20

30

40

Frequency (%)

OKH SIB CHI PAC-JPNTrajectory Pathway

Page 39: The 2nd Workshop on Air Quality Modeling Challenges

規格化濃度 (N): N = (mi - Mi) / Mi

(mi: 各セクターの成分 i の平均濃度 , Mi: 成分 I の平均濃度 )

Trajectory Pathway Trajectory Pathway

OKH SIB CHI PAC-JPN OKH SIB CHI PAC-JPN

OKH SIB CHI PAC-JPN OKH SIB CHI PAC-JPN

OC EC

Particle Number O3

利尻島における輸送経路と濃度の関係

Page 40: The 2nd Workshop on Air Quality Modeling Challenges

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ǙDZÇÃÉsÉNÉ`ÉÉÇ å©ÇÈÇ…ÇÕïKóvÇ≈Ç∑ÅB

140130120 150 160

40

30

20

Longitude (ºE)

Lati

tud

e (

ºN)

PAC

JPN

S-CHI

CHI-JPN

< 八丈島 >

0

20

40

60

80

Frequency (%)

PAC CHI-JPN JPN S-CHITrajectory Pathway

Page 41: The 2nd Workshop on Air Quality Modeling Challenges

-1

-0.5

0

0.5

1

PAC CHI-JPN JPN

Normalized Conc.

-1

-0.5

0

0.5

1

PAC CHI-JPN JPN

-0.5

0

0.5

PAC CHI-JPN JPN

-1

-0.5

0

0.5

1

PAC CHI-JPN JPN

Normalized Conc.

Trajectory Pathway Trajectory Pathway

OC EC

Particle Number O3

PAC CHI-JPN JPN

PAC CHI-JPN JPN

PAC CHI-JPN JPN

PAC CHI-JPN JPN

八丈島における輸送経路と濃度の関係

Page 42: The 2nd Workshop on Air Quality Modeling Challenges
Page 43: The 2nd Workshop on Air Quality Modeling Challenges

EC = 0.21NO3 + 0.06R2 = 0.49

EC= 0.04SO42- + 0.04

R2 = 0.82

0.00

0.05

0.10

0.15

0.20

0.0 0.5 1.0 1.5 2.0 2.5 3.0

Fine NO3-, SO4

2- [µg m-3]

EC [µg m

-3]

FineNO3- Fine nss-SO42- N S

Page 44: The 2nd Workshop on Air Quality Modeling Challenges

y = 0.14 x - 1.05R2 = 0.65

0

4

8

12

16

20

0 20 40 60 80

Total Acid (Bulk NO3- + Bulk nss-SO4

2-) [neq m-3]

Total Soluble nss-Ca neq [neq m

-3]


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