cluster analysis of air quality data for ccos study domain scott beaver ahmet palazoglu, p.i....

36
Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering & Materials Science CCOS Technical Committee Meeting Cal/EPA Building, 1001 I St., Sacramento, CA Department of Chemical Engineering and Materials Science

Upload: stanley-west

Post on 29-Dec-2015

227 views

Category:

Documents


4 download

TRANSCRIPT

Page 1: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Cluster Analysis of Air Quality Data for CCOS Study Domain

Scott BeaverAhmet Palazoglu, P.I.

University of California, Davis

Dept. Chemical Engineering & Materials Science

CCOS Technical Committee MeetingCal/EPA Building, 1001 I St., Sacramento, CA

Thursday 31 March 2007

Department of Chemical Engineering and Materials Science

Page 2: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Overview• Project: Cluster Analysis for CCOS Domain

I. Intra-basin analyses: wind patterns & synoptic regimes

II. Inter-basin meteorological response of O3 levels

• Intra-basin analyses:– Completed Bay Area analysis

• Strong synoptic influence; seabreeze cycles

– Preliminary North SJV wind field clustering• Synoptic & ventilation effects

– Preliminary Central SJV wind field clustering• Synoptic & mesoscale (Fresno eddy) effects

– Preliminary South SJV wind field clustering• Synoptic effects; mesoscale variability difficult to capture

– Initial Sacramento Valley & Mountain Counties analysis

• Future work and recommendations

Department of Chemical Engineering and Materials Science

Page 3: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Cluster Analysis for CCOS• Scope of 2-year project

I. Intra-basin wind field cluster analyses– Requires continuous, hourly surface wind data– Days grouped by diurnal wind field patterns– Reveals synoptic and mesoscale flow regimes

II. Inter-basin analysis

• Study Domain– 6 CCOS air basins

• San Francisco Bay Area• SJV: split into North, Central, & South• Sacramento Valley• Mountain Counties

– 1996-2004 ozone seasons (1 May – 31 October)

Department of Chemical Engineering and Materials Science

Page 4: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Department of Chemical Engineering and Materials Science

San Francisco Bay Area

Page 5: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

SFBA: 4 clusters for 976 days1996

1997

1998

1999

2000

2001

2002

Jun 01 Jun 15 Jul 01 Jul 15 Aug 01 Aug 15 Sep 01 Sep 15 Sep 30

2003

Department of Chemical Engineering and Materials Science

*Beaver and Palazoglu, 2006: Cluster analysis of hourly wind measurements to reveal synoptic regimes affecting air quality. Journal of Applied Meteorology and Climatology, 45, 1710—26.

Page 6: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

5600

5600

5650

5650

5700

5700

57505750

5800

5800

5850

5850

5900

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5550

5550

5600

5600

56505650

57005700

5750 575058005800

58505850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5600

5600

5650

5650

5700

5700

5750

5750

58005800

5850

5850

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5550

5600

5600

56505650

5700 5700

5750 57505800 5800

58505850

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

SFBA clusters = synoptic regimes

Department of Chemical Engineering and Materials Science

H

R

V2V1

Onshore High: 353 d, 13% episodes Offshore High: 86 d, 13% episodes

Weaker Trough: 309 d, 0% episodes Deeper Trough: 309 d, 0% episodes

Page 7: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

*Beaver, Palazoglu and Tanrikulu, 2007: Cluster sequencing to analyze synoptic transitions affecting regional ozone. Journal of Applied Meteorology and Climatology, in press.

Synoptic Transition Probabilities• R transitions rapidly to H

– Severe, multi-day episodes– Reverse HR does not occur– Polar low may “save” SFBA from episode

• Persistence of H indicates stability– Displaced by sufficiently deep trough (e.g. V2)– Bulk of episodes during persistent H

• Transitions from V1 & V2 driven by global met.– Troughs may persist for long periods; low O3 levels– Transition to H or R will occur unless O3 season ends

Department of Chemical Engineering and Materials Science

Page 8: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

SJV SLAMS network

Department of Chemical Engineering and Materials Science

Page 9: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

SLAMS, CIMIS, RAWS & NCDC

Department of Chemical Engineering and Materials Science

Page 10: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

North SJV Wind Monitors

Department of Chemical Engineering and Materials Science

Page 11: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Wind Speed Errors at Tracy

Department of Chemical Engineering and Materials Science

1996—1999 are similar to 2001—2004.

05

1015

Tracy-Patterson Rd. -- Wind Speed

2000

05

1015

2001

05

1015

2002

05

1015

2003

May01 Jun01 Jul01 Aug01 Sep01 Oct01 Nov0105

1015

2004

Page 12: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Tracy-Patterson Rd. -- Wind Direction Hourly Distribution

2000

2001

2002

2003

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24Hour of Day

2004

Wind Direction Errors at Tracy

Department of Chemical Engineering and Materials Science

1996—1999 are similar to 2001—2003.

Page 13: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Gantt chart for N-SJV

Department of Chemical Engineering and Materials Science

Yellow = 1 Nov—30 Apr winter data (not clustered)Blue = clustered stations (included in Total)Red = non-clustered stations (excluded from Total)

Page 14: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

55005550

5550

56005650

57005750

58005850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

55505600

56505700

57505800

5850

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

54505500

5550

5600 5650 570057505800

5850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5550

5600

5600

56505700

57505800

5850 5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5500

5550

560056505700

575058005850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

Department of Chemical Engineering and Materials Science

H: 179 days, 42%

H H

R

V2V1

V

R: 264 days, 19%H/V: 212 days, 25%

V2: 108 days, 6%V1: 299 days, 12%

Page 15: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

N-SJV 0900 PST Wind Field

Department of Chemical Engineering and Materials Science

Magenta: Carquinez Strait— Ft. Funston, Pt. San Pablo, Suisun, Bethel Is.

Blue: Altamont Pass— Kregor Peak, Tracy

Red: Pacheco Pass— Los Banos

Black: SJV floor

H H/VR V1 V2Increasing marine ventilation: R < H < H/V < V1 < V2

Page 16: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

N-SJV Seasonal Distribution

Department of Chemical Engineering and Materials Science

0

1

Black: Probability a Cluster is Realized Within 5 Days of Any Day of YearRed: Probability a Cluster is Realized as Exceedance Within 5 Days of Any Day of Year

0

1

0

1

0

1

01 May 01 Jun 01 Jul 01 Aug 01 Sep 01 Oct0

1

Day of Year

H

H/V

R

V1

V2

Page 17: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

N-SJV Ventilation

Department of Chemical Engineering and Materials Science

10

20

30

40

50Tracy Stockton Merced

1500 PST Temperature (oC)

-5

0

5

10

15

1000 PST Westerly Speed (m/s)

Bethel Island Tracy Los Banos

H H/V V1

V2 R H H/V V1

V2 R H H/V V1

V2 R

Page 18: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Altamont Pass Wind Distribution

Department of Chemical Engineering and Materials Science

0800PST Wind Distribution

H (164 d)

Tra

cy

H/V (189 d) V1 (281 d) V2 (89 d) R (245 d)

Ple

asan

ton

Kre

gor

Pea

k

0 0.25 0.5 0.75 1

Page 19: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

N-SJV Synoptic Sequencing

• = 0.05– R H/V disfavored– Clusters occur in different seasons (trivial result)

• = 0.15– R H favored

– H H/V favored

– H/ V V favored

– V R favored

• Compare to Bay Area– Transitions significant at < 0.02– Stronger synoptic influence than N-SJV

Page 20: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Central SJV Wind Monitors

Department of Chemical Engineering and Materials Science

Page 21: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Annual Biases in Wind Direction

Department of Chemical Engineering and Materials Science

090

180270360

1999

Dir

Clovis-N Villa Wind Direction

090

180270360

2000

Dir

090

180270360

2001

Dir

090

180270360

2002

Dir

01 May 01 Jun 01 Jul 01 Aug 01 Sep 01 Oct 01 Nov0

90180270360

2003

Dir

2000—02 are ~15o more westerly than other years.

Page 22: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Upslope/Downslope Cycle

30 Jul 05 Aug 10 Aug 15 Aug0

90

180

270

360

2003

Dir

Department of Chemical Engineering and Materials Science

Wind direction at SLAMS Sequoia monitor for 20 days during 2003.

Flow switches from easterly to westerly.

Daytime upslope flows; nighttime drainage flows

Diurnal cycle largely captures local effects.

Signal is not well modeled by clustering algorithm.

Page 23: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Gantt chart for C-SJV

Department of Chemical Engineering and Materials Science

Magenta: stations with annual biases

Page 24: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

5600

5600

565057005750

5800

5850

5900 165

W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5650 57005750

58005850

5900 165

W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5450

5500

55505600

5650 57005750

5800

5850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5550 56005650

57005750

58005850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5550

56005650

570057505800

5850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

Department of Chemical Engineering and Materials Science

H: 203 days

H H R

V

V

R: 341 daysH/V: 169 days

V/I: 378 daysV: 279 days

IV?

Page 25: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

C-SJV 8-hr O3 Exceedances

Department of Chemical Engineering and Materials Science

H RH/VV/IV

Ventilated regime episodes favor Sequoia.

Anti-cyclonic regime episodes favor SJV floor.

Percentage of days in each cluster that are 8-hr O3 exceedances

279 d 378 d 169 d 203 d 341 d

Total 40% 32% 64% 92% 59%SJV floor 29% 17% 34% 84% 52% Parlier 20% 15% 28% 73% 43% Clovis 18% 6% 12% 62% 33%

Sequoia 25% 25% 57% 64% 33%SJV floor & Sequoia 14% 10% 27% 56% 26%

Page 26: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

C-SJV Seasonal Distribution

0

1

Black: Probability a Cluster is Realized Within 5 Days of Any Day of YearRed: Probability a Cluster is Realized as Exceedance Within 5 Days of Any Day of Year

0

1

0

1

0

1

01 May 01 Jun 01 Jul 01 Aug 01 Sep 01 Oct0

1

Day of Year

Department of Chemical Engineering and Materials Science

H

H/V

R

V/I

V

Page 27: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

C-SJV Synoptic Sequencing

• Direct transitions between H, R, and V occur infrequently

• H/V and V/I are “intermediate” states– C-SJV is buffered from synoptic effects

– Synoptic transitions have less effect on O3 levels than for N-SJV (than for Bay Area)

• Mesoscale effects important for C-SJV

Department of Chemical Engineering and Materials Science

Page 28: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

The Fresno Eddy

Department of Chemical Engineering and Materials Science

Magenta: Carquinez Strait— Ft. Funston, Pt. San Pablo, Suisun

Blue: Altamont Pass— Kregor Peak, Tracy

Red: Pacheco Pass— Los Banos

Cyan: Parkfield (west) & Sequoia (east)

Yellow: Carrizo Plain

R H/VH V V/IDecreasing eddy strength: H > R > H/V > V > V/I

Page 29: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Eddy Strength and O3 Levels

Department of Chemical Engineering and Materials Science

Strong eddyNo/weak eddy

406080

100120

WeekdaysWeekends

406080

100120

406080

100120

Dai

ly M

axim

um 8

-hr O

3 leve

l at P

arlie

r

406080

100120

-6 -4 -2 0 2 4 6

406080

100120

Parlier southerly wind component at 0900 PST (m/s)

R

H/V

H

V

V/I

?

Page 30: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Department of Chemical Engineering and Materials Science

5800

Eddy (133 d) Eddy (188 d)

5600

Eddy (207 d)

Stagnant (21 d)

5750

5900

Stagnant (19 d) Stagnant (15 d) Stagnant (43 d)

No eddy (14 d) No eddy (60 d) No eddy (118 d)

Eddy (193 d) Eddy (296 d)R H/V V V/IH

Eddy Strength & Marine Ventilation

Within each regime, enhanced marine ventilation can suppress eddy formation

Page 31: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

South SJV Wind Monitors

Department of Chemical Engineering and Materials Science

Page 32: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Gantt chart for S-SJV

Department of Chemical Engineering and Materials Science

Page 33: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

56005650

5700

5750

5800 5850

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5600

56505700

57505800

5850

5900

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

54505500

5550

5600 5650

57005750

5800

5850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5500

55505600

5650 5700

5750

58005850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

5500

5550

5600 5650

57005750

5800

5850

165 W 150

W 135

W 120

W 105

W 90

W

30 N

45 N

60 N

Department of Chemical Engineering and Materials Science

H/V: 206 days, 64%

H H R

V

V

R: 373 days, 62%H: 354 days, 58%

V/I: 317 days, 22%V: 160 days, 36%

I?V

Page 34: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Department of Chemical Engineering and Materials Science

H

H/V

R

V

V/I

0

1

Black: Probability a Cluster is Realized Within 5 Days of Any Day of YearRed: Probability a Cluster is Realized as Exceedance Within 5 Days of Any Day of Year

0

1

0

1

0

1

01 May 01 Jun 01 Jul 01 Aug 01 Sep 01 Oct0

1

Day of Year

S-SJV Seasonal Distribution

Page 35: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Progress

Department of Chemical Engineering and Materials Science

Non-contracted quality assurance is a critical but time consuming step which has delayed Phase I progress.

Obta

in d

ata

Qualit

y ass

ura

nce

Win

d fie

ld c

lust

ering

Ozo

ne c

lust

ering

Intr

a-b

asi

n r

eport

Syn

optic

sequenci

ng

Rela

te w

ind a

nd

ozo

ne c

lust

ers

Inte

r-basi

n s

ynoptic

analy

sis

Inte

r-basi

n tem

pora

l analy

sis

San Francisco Bay Area X X X X X X XSJV North X X X \ \ XSJV Central X X X \ \ XSJV South X X \ \Sacramento Valley XMountain Counties X

Phase I Phase II

Page 36: Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering

Recommendations• Transport analysis for identified met regimes using a (back-

trajectory) transport model.– Transport through gaps in Coastal Range– Transport patterns from major source areas

• NOx/VOC ratio and O3 sensitivity– Role of meteorology

• El Nino effects• Wild fire analysis• Vertical analysis

– Visalia profiler– Limited soundings?

• AQM performance evaluation• … and others from project work plan ???

Department of Chemical Engineering and Materials Science