assessing pm 2.5 background levels and local add-on prepared by bryan lambeth, pe field operations...

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Assessing PM2.5 Background Levels and Local Add-On Prepared by Bryan Lambeth, PE Field Operations Support Division Texas Commission on Environmental Quality For presentation at the National Air Quality Conference 2010 Houston Clear Houston Hazy

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Assessing PM2.5

Background Levelsand Local Add-On

Prepared by Bryan Lambeth, PEField Operations Support Division

Texas Commission on Environmental Quality

For presentation at the

National Air Quality Conference 2010

Houston Clear Houston Hazy

Causes of High PM2.5

• Regional and long-range transport– Haze, smoke, and/or dust already in the air coming

into an area from distant sources– Cannot be controlled by local mitigation measures

• Local primary and secondary sources– Local add-on of PM2.5 is increased by local air

stagnation, limited vertical mixing of the air, and high relative humidity

– Urban worst case is usually night-time winter stagnation with clear skies

Estimating Transport Contribution

• Upwind monitors and monitors that are not downwind of significant local sources provide the best estimate of incoming background levels from transport

• These monitors will usually have the lowest concentrations in the area

• Thus for areas with adequate peripheral monitoring coverage, the area lowest or second lowest concentration can serve to estimate the contribution from transport on most days

• The variation between the lowest and second lowest measurements may often indicate variability in the incoming background levels across an area with adequate monitoring coverage

Estimating Local Add-On

• Once the incoming background level has been estimated, concentrations higher than this background can indicate either variability in the background levels and/or add-on from local sources

• Subtracting the estimated background from a given measurement provides an estimate of impacts directly from local sources, but this estimate can be biased high when there is large spatial variability in the incoming background level

• Where speciation data are available for both background and add-on locations, the speciated components of local source impacts can also be evaluated by this method

Texas PM2.5 Sites

Background PM2.5 Sites

Coastal Transport

Regional Transport

Conditional Transport

Southeast Texas PM2.5 Sites

Coastal Transport

Conditional Transport

North Central Texas PM2.5 Sites

Conditional Transport

Central Texas PM2.5 Sites

Regional Transport

Conditional Transport

South Texas PM2.5 Sites

Coastal Transport

Figure 1. Texas Coastal PM2.5 April-May 2008

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M2.

5 (u

g/m

3 lo

cal)

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Galveston C34 TEOM National Seashore C314 TEOM Isla Blanca Park C323 FRMS

S

S

S SS

S - SmokeH - Continental haze

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S

Figure 2. Texas Coastal PM2.5 June-August 2008

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Galveston C34 TEOM National Seashore C314 TEOM Isla Blanca Park C323 FRMS

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S - Mexican SmokeD - African DustH - Continental Haze

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Houston-Galveston-Brazoria PM2.5 and Silicon 2008 Jun-Aug

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1-Jun 1-Jul 1-Aug

Day (CST)

PM

2.5

(ug/

m3)

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Silicon

(ug/m

3)

PM2.5 Max PM2.5 Min C8Ald C403Clnt C35DPk C303 Jef

S - Mexican Smoke D - African Dust H - Continental Haze

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Houston-Galveston-Brazoria Daily PM2.5 February 2008

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Day CST

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ly A

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ge P

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5 (u

g/m

3 lo

cal)

G1034T

H0024

H0024T

H0026T

H0058

H0416

H1034T

H1035

H1035T

H1039

H1039T

H1042T

H1050T

H0572T

M0078T

J0022T

Dallas-Fort Worth Daily PM2.5 February 2008

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Day CST

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5 (u

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3 lo

cal)

F1002

F1006

F1006T

F3011T

D0050

D0069

D0069T

D0087

N0034T

E0016

E0016T

E1044T

K0003T

Houston-Galveston-Brazoria Daily PM2.5 July 2008

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Day CST

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ge P

M2.

5 (u

g/m

3 lo

cal)

G1034T

H0024

H0024T

H0026T

H0058

H0416

H1034T

H1035

H1035T

H1039

H1039T

H1042T

H1050T

H0572T

M0078T

J0022T

Dallas-Fort Worth Daily PM2.5 July 2008

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

Day CST

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5 (u

g/m

3 lo

cal)

F1002

F1006

F1006T

F3011T

D0050

D0069

D0069T

D0087

N0034T

E0016

E0016T

E1044T

K0003T

14.012.5

Texas PM2.5 Annual Averages 2008

11.911.2

10.610.5

10.5

9.9

9.5

6.1

5.7

7.6

6.8

10.710.3

Micrograms/cubic meter

11.5

9.98.7

8.8

15.911.1

12.112.0

11.3

9.68.7

Texas PM2.5 Background Averages 2008

8.88.0

8.67.9

8.3

9.9

9.5

6.1

5.7

7.6

6.8

Micrograms/cubic meter

8.8

6.96.0

Average of Daily Area Peak Local Add-On 2008

5.34.6

3.83.1

3.3

Micrograms/cubic meter

3.2

5.34.4

Highest Annual Local Add-On 2008

3.93.1

2.72.0

2.2

Micrograms/cubic meter

2.0

37.8%31.5%

Highest Annual Local Percent Add-On 2008

32.4%26.0%

25.3%18.7%

20.8%

Micrograms/cubic meter

16.9%

Conclusions

• For the areas analyzed, transport appears to account for at least about 70-80% of measured annual averages at sites with the greatest local source impacts

• At most about 20-30% of the annual average at analyzed sites with the worst local source impacts can be addressed by local control measures

Applications

• Analysis of “but for” considerations in determining exceptional event days– This approach could be used to estimate

whether a site would have exceeded the standard with a “normal” background level if the exceptional event had not occurred

• Estimating how much local add-on must be reduced to meet standards

• Model validation