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The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins.

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Presentation on theme: "The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins."— Presentation transcript:

1 The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins University Air Pollution 2005 May 17, 2005

2 Tropospheric Ozone (O 3 ) Secondary pollutant formed by complex chemical reactions including NO x and Volatile Organic Compounds (VOCs) Linked to human health effects including decreased lung function and increased emergency room visits Subject to NAAQS under the U.S. Clean Air Act Estimating O 3 concentrations important from a public health and regulatory standpoint

3 Attainment of 8-Hour Standard November 2004 Source: EPA Greenbook Attainment or unclassified Non-attainment (entire county) Non-attainment (partial county)

4 Land-Use Emissions: Transportation Industry Biogenic Meteorology Wind Precipitation Solar Radiation Air Quality Modeling Inputs: Terrain

5 CMAQ (Community Multi-scale Air Quality) SAS Arc/Info Models-3 Framework LUPROC (Land-Use Processor) ECIP (Emissions- Chemistry Interface Processor) JPROC (Photolysis Rate Processor) ICON (Initial Conditions Processor) BCON (Boundary Conditions Processor) CCTM (CMAQ Chemical Transport Model) MEPPS (Models-3 Emissions Processing and Projection System) INPRO (Input Processor) EMPRO (Emission Processor) OUTPRO (Output Processor) MEPRO (Models-3 Emissions Projections Processor) IDA (Inventory Data Processor) MCIP (Meteorology- Chemistry Interface Processor) MM5 (Meteorological Modeling System)

6 Sample Output

7 Case Study Area (Mid-Atlantic, USA) Domain 1 Domain 4 Domain 1: 108-km grid cell resolution Domain 2: 36-km grid cells Domain 3: 12-km grid cells Domain 4: 4-km grid cells Domain 2 Domain 3 Domain 1 Domain 4 Domain 2 Domain 3 Domain 1: 108-km grid cell resolution Domain 3: 36-km grid cells Domain 2: 12-km grid cells Domain 4: 4-km grid cells

8 12-km Resolution Domain 42 Rows 69 Columns 2898 Cells

9 4-km Resolution Domain (Maryland) Baltimore, MD Washington, DC X X 45 Rows 60 Columns 2700 Cells

10 Model Evaluation How well does the modeling system perform? Are ozone estimates reasonable approximations of monitor values? Several approaches applied comparing model estimates to monitor measurements (Bell & Ellis Atmospheric Environment 2004) E.g. Mean bias = 6.2 ppb

11 Comparison of Values at Hour of Maximum Concentration July 13 to 15, 1995 x

12 Comparison of Model Estimates and Measurements

13 8-hr Average O 3 ( ppb ) Local Time Location: Millington, Maryland Comparison of Model Estimates and Measurements (8-hour average)

14 Modeling Simulations 27June1990 (h 00) to 30June1990 (h 00) (GMT) –High ozone episode Emissions Scenarios –Baseline (actual emissions) –100% increase in biogenic emissions –100% increase in biogenic and motor vehicle emissions

15 Baseline Scenario (Maximum O 3 Concentration)

16 Scenario B Biogenics 100% Scenario C Biogenics and Motor Vehicles 100%

17 Scenario Comparisons Ozone Concentrations –Maximum hourly average, maximum 8- hour average, daily average, episode average, domain-wide average, etc. –Absolute values, increases, relative increases –Comparisons are affected by what pollution metric is used (Bell & Ellis JAWMA 2005)

18 Scenario Comparisons – Some Results All emissions scenarios had higher O 3 in some areas/times and lower O 3 in others The increase in motor vehicle emissions had less of an impact than the same relative % increase in biogenic emissions.

19 Rural vs. Urban Areas Avg. increase in Hourly Max (ppb) 0 5 10 15 20 25 Rural Urban Scen B - baseline Scen C - baseline

20 VOC vs. NO x - sensitivity 13July1995 (h 00) to 15July1995 (h 00) (GMT) Scenarios –Baseline scenario (actual emissions) –VOCs and NO x increased 25% –VOCs only increased 25% –NO x only increased 25%

21 Areas for which the VOC increase always resulted in higher O 3 than the NO x increase. Areas for which the NO x increase always resulted in higher O 3 than the VOC increase.

22 Concluding Thoughts +Air pollution modeling can be a useful tool for many purposes – Must believe in results (validation) Results Demonstrate the importance of biogenic VOCs for the Mid-Atlantic Region of the U.S. Show that generalizations such as VOC-sensitivity or NO x -sensitivity are over simplifications Thank you

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