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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 Thursday 31 March 2007 Department of Chemical Engineering and Materials Science

Cluster Analysis of Air Quality Data for CCOS Study … CCOS...Cluster Analysis of Air Quality Data for CCOS Study Domain ... – Preliminary North SJV wind field clustering ... –

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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

Overview• Project: Cluster Analysis for CCOS Domain

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

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

Department of Chemical Engineering and Materials Science

San Francisco Bay Area

SFBA: 4 clusters for 976 days1

996

199

719

9819

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0020

0120

02

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

200

3

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.

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30° N

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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

*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 H�R 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

SJV SLAMS network

Department of Chemical Engineering and Materials Science

SLAMS, CIMIS, RAWS & NCDC

Department of Chemical Engineering and Materials Science

North SJV Wind Monitors

Department of Chemical Engineering and Materials Science

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

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May01 Jun01 Jul01 Aug01 Sep01 Oct01 Nov0105

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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.

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)

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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%

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, TracyRed: Pacheco Pass— Los BanosBlack: SJV floor

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

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

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N-SJV Ventilation

Department of Chemical Engineering and Materials Science

10

20

30

40

50Tracy Stockton Merced

1500 PST Temperature (oC)

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0

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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

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

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Kre

gor

Pea

k

0 0.25 0.5 0.75 1

N-SJV Synoptic Sequencing

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

• α = 0.15– R H favored

– H H/V favored

– H/ V V favored

– V R favored

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

Central SJV Wind Monitors

Department of Chemical Engineering and Materials Science

Annual Biases in Wind Direction

Department of Chemical Engineering and Materials Science

090

180270360

1999

Dir

Clovis-N Villa Wind Direction

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180270360

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Dir

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Dir

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

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Dir

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

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.

Gantt chart for C-SJV

Department of Chemical Engineering and Materials Science

Magenta: stations with annual biases

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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?

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 dTotal 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%

C-SJV Seasonal Distribution

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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

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Department of Chemical Engineering and Materials Science

H

H/V

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V/I

V

C-SJV Synoptic Sequencing

• Direct transitions between H, R, and Voccur infrequently

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

– Synoptic transitions have less effect on O3levels than for N-SJV (than for Bay Area)

• Mesoscale effects important for C-SJV

Department of Chemical Engineering and Materials Science

The Fresno Eddy

Department of Chemical Engineering and Materials Science

Magenta: Carquinez Strait— Ft. Funston, Pt. San Pablo, SuisunBlue: Altamont Pass— Kregor Peak, TracyRed: Pacheco Pass— Los BanosCyan: Parkfield (west) & Sequoia (east)Yellow: Carrizo Plain

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

Eddy Strength and O3 Levels

Department of Chemical Engineering and Materials Science

Strong eddyNo/weak eddy

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WeekdaysWeekends

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axi

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

R

H/V

H

V

V/I

?

Department of Chemical Engineering and Materials Science

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Eddy (133 d)

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Eddy (188 d)

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Eddy (207 d)

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Stagnant (19 d)

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Stagnant (15 d)

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Stagnant (43 d)

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No eddy (14 d)55005550

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No eddy (60 d)5550

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No eddy (118 d)

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Eddy (193 d)5450

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

Eddy Strength & Marine Ventilation

Within each regime, enhanced marine ventilation can suppress eddy formation

South SJV Wind Monitors

Department of Chemical Engineering and Materials Science

Gantt chart for S-SJV

Department of Chemical Engineering and Materials Science

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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

Department of Chemical Engineering and Materials Science

H

H/V

R

V

V/I

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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

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Day of Year

S-SJV Seasonal Distribution

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.

Obt

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Syn

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ate

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is

Inte

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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

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